Biomedical engineering

From Wikipedia, the free encyclopedia

https://en.wikipedia.org/wiki/Biomedical_engineering 

Ultrasound representation of urinary bladder (black butterfly-like shape) a hyperplastic prostate. An example of practical science and medical science working together.

 

Hemodialysis a process of purifying the blood of a person whose kidneys are not working normally.

Biomedical engineering (BME) or medical engineering is the application of engineering principles and design concepts to medicine and biology for healthcare purposes (e.g., diagnostic or therapeutic). BME is also traditionally known as "bioengineering", but this term has come to also refer to biological engineering. This field seeks to close the gap between engineering and medicine, combining the design and problem-solving skills of engineering with medical biological sciences to advance health care treatment, including diagnosis, monitoring, and therapy. Also included under the scope of a biomedical engineer is the management of current medical equipment in hospitals while adhering to relevant industry standards. This involves making equipment recommendations, procurement, routine testing, and preventive maintenance, a role also known as a Biomedical Equipment Technician (BMET) or as clinical engineering.

Biomedical engineering has recently emerged as its own study, as compared to many other engineering fields. Such an evolution is common as a new field transitions from being an interdisciplinary specialization among already-established fields to being considered a field in itself. Much of the work in biomedical engineering consists of research and development, spanning a broad array of subfields (see below). Prominent biomedical engineering applications include the development of biocompatible prostheses, various diagnostic and therapeutic medical devices ranging from clinical equipment to micro-implants, common imaging equipment such as MRIs and EKG/ECGs, regenerative tissue growth, pharmaceutical drugs and therapeutic biologicals.

Bioinformatics

Example of an approximately 40,000 probe spotted oligo microarray with enlarged inset to show detail.

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data.

Bioinformatics is considered both an umbrella term for the body of biological studies that use computer programming as part of their methodology, as well as a reference to specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidate genes and nucleotides (SNPs). Often, such identification is made with the aim of better understanding the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organisational principles within nucleic acid and protein sequences.

Biomechanics

A ribosome is a biological machine that utilizes protein dynamics

Biomechanics is the study of the structure and function of the mechanical aspects of biological systems, at any level from whole organisms to organs, cells and cell organelles, using the methods of mechanics.

Biomaterial

A biomaterial is any matter, surface, or construct that interacts with living systems. As a science, biomaterials is about fifty years old. The study of biomaterials is called biomaterials science or biomaterials engineering. It has experienced steady and strong growth over its history, with many companies investing large amounts of money into the development of new products. Biomaterials science encompasses elements of medicine, biology, chemistry, tissue engineering and materials science.

Biomedical optics

Biomedical optics refers to the interaction of biological tissue and light, and how this can be exploited for sensing, imaging, and treatment.

Tissue engineering

Tissue engineering, like genetic engineering (see below), is a major segment of biotechnology – which overlaps significantly with BME.

One of the goals of tissue engineering is to create artificial organs (via biological material) for patients that need organ transplants. Biomedical engineers are currently researching methods of creating such organs. Researchers have grown solid jawbones and tracheas from human stem cells towards this end. Several artificial urinary bladders have been grown in laboratories and transplanted successfully into human patients. Bioartificial organs, which use both synthetic and biological component, are also a focus area in research, such as with hepatic assist devices that use liver cells within an artificial bioreactor construct.

Micromass cultures of C3H-10T1/2 cells at varied oxygen tensions stained with Alcian blue.

Genetic engineering

Genetic engineering, recombinant DNA technology, genetic modification/manipulation (GM) and gene splicing are terms that apply to the direct manipulation of an organism's genes. Unlike traditional breeding, an indirect method of genetic manipulation, genetic engineering utilizes modern tools such as molecular cloning and transformation to directly alter the structure and characteristics of target genes. Genetic engineering techniques have found success in numerous applications. Some examples include the improvement of crop technology (not a medical application, but see biological systems engineering), the manufacture of synthetic human insulin through the use of modified bacteria, the manufacture of erythropoietin in hamster ovary cells, and the production of new types of experimental mice such as the oncomouse (cancer mouse) for research.

Neural engineering

Neural engineering (also known as neuroengineering) is a discipline that uses engineering techniques to understand, repair, replace, or enhance neural systems. Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living constructs.

Pharmaceutical engineering

Pharmaceutical engineering is an interdisciplinary science that includes drug engineering, novel drug delivery and targeting, pharmaceutical technology, unit operations of Chemical Engineering, and Pharmaceutical Analysis. It may be deemed as a part of pharmacy due to its focus on the use of technology on chemical agents in providing better medicinal treatment.

Medical devices

Schematic of silicone membrane oxygenator

This is an extremely broad category—essentially covering all health care products that do not achieve their intended results through predominantly chemical (e.g., pharmaceuticals) or biological (e.g., vaccines) means, and do not involve metabolism.

A medical device is intended for use in:

• the diagnosis of disease or other conditions
• in the cure, mitigation, treatment, or prevention of disease.

Some examples include pacemakers, infusion pumps, the heart-lung machine, dialysis machines, artificial organs, implants, artificial limbs, corrective lenses, cochlear implants, ocular prosthetics, facial prosthetics, somato prosthetics, and dental implants.

Biomedical instrumentation amplifier schematic used in monitoring low voltage biological signals, an example of a biomedical engineering application of electronic engineering to electrophysiology.

Stereolithography is a practical example of medical modeling being used to create physical objects. Beyond modeling organs and the human body, emerging engineering techniques are also currently used in the research and development of new devices for innovative therapies, treatments, patient monitoring, of complex diseases.

Medical devices are regulated and classified (in the US) as follows (see also Regulation):

• Class I devices present minimal potential for harm to the user and are often simpler in design than Class II or Class III devices. Devices in this category include tongue depressors, bedpans, elastic bandages, examination gloves, and hand-held surgical instruments and other similar types of common equipment.
• Class II devices are subject to special controls in addition to the general controls of Class I devices. Special controls may include special labeling requirements, mandatory performance standards, and postmarket surveillance. Devices in this class are typically non-invasive and include X-ray machines, PACS, powered wheelchairs, infusion pumps, and surgical drapes.
• Class III devices generally require premarket approval (PMA) or premarket notification (510k), a scientific review to ensure the device's safety and effectiveness, in addition to the general controls of Class I. Examples include replacement heart valves, hip and knee joint implants, silicone gel-filled breast implants, implanted cerebellar stimulators, implantable pacemaker pulse generators and endosseous (intra-bone) implants.

Medical imaging

Medical/biomedical imaging is a major segment of medical devices. This area deals with enabling clinicians to directly or indirectly "view" things not visible in plain sight (such as due to their size, and/or location). This can involve utilizing ultrasound, magnetism, UV, radiology, and other means.

An MRI scan of a human head, an example of a biomedical engineering application of electrical engineering to diagnostic imaging. Click here to view an animated sequence of slices.

Imaging technologies are often essential to medical diagnosis, and are typically the most complex equipment found in a hospital including: fluoroscopy, magnetic resonance imaging (MRI), nuclear medicine, positron emission tomography (PET), PET-CT scans, projection radiography such as X-rays and CT scans, tomography, ultrasound, optical microscopy, and electron microscopy.

Implants

An implant is a kind of medical device made to replace and act as a missing biological structure (as compared with a transplant, which indicates transplanted biomedical tissue). The surface of implants that contact the body might be made of a biomedical material such as titanium, silicone or apatite depending on what is the most functional. In some cases, implants contain electronics, e.g. artificial pacemakers and cochlear implants. Some implants are bioactive, such as subcutaneous drug delivery devices in the form of implantable pills or drug-eluting stents.

Artificial limbs: The right arm is an example of a prosthesis, and the left arm is an example of myoelectric control.

 

A prosthetic eye, an example of a biomedical engineering application of mechanical engineering and biocompatible materials to ophthalmology.

Bionics

Artificial body part replacements are one of the many applications of bionics. Concerned with the intricate and thorough study of the properties and function of human body systems, bionics may be applied to solve some engineering problems. Careful study of the different functions and processes of the eyes, ears, and other organs paved the way for improved cameras, television, radio transmitters and receivers, and many other tools.

Biomedical sensors

In recent years biomedical sensors based in microwave technology have gained more attention. Different sensors can be manufactured for specific uses in both diagnosing and monitoring disease conditions, for example microwave sensors can be used as a complementary technique to X-ray to monitor lower extremity trauma. The sensor monitor the dielectric properties and can thus notice change in tissue (bone, muscle, fat etc.) under the skin so when measuring at different times during the healing process the response from the sensor will change as the trauma heals.

Clinical engineering

Clinical engineering is the branch of biomedical engineering dealing with the actual implementation of medical equipment and technologies in hospitals or other clinical settings. Major roles of clinical engineers include training and supervising biomedical equipment technicians (BMETs), selecting technological products/services and logistically managing their implementation, working with governmental regulators on inspections/audits, and serving as technological consultants for other hospital staff (e.g. physicians, administrators, I.T., etc.). Clinical engineers also advise and collaborate with medical device producers regarding prospective design improvements based on clinical experiences, as well as monitor the progression of the state of the art so as to redirect procurement patterns accordingly.

Their inherent focus on practical implementation of technology has tended to keep them oriented more towards incremental-level redesigns and re configurations, as opposed to revolutionary research & development or ideas that would be many years from clinical adoption; however, there is a growing effort to expand this time-horizon over which clinical engineers can influence the trajectory of biomedical innovation. In their various roles, they form a "bridge" between the primary designers and the end-users, by combining the perspectives of being both close to the point-of-use, while also trained in product and process engineering. Clinical engineering departments will sometimes hire not just biomedical engineers, but also industrial/systems engineers to help address operations research/optimization, human factors, cost analysis, etc. Also see safety engineering for a discussion of the procedures used to design safe systems. Clinical engineering department is constructed with a manager, supervisor, engineer and technician. One engineer per eighty beds in the hospital is the ratio. Clinical engineers is also authorized audit pharmaceutical and associated stores to monitor FDA recalls of invasive items.

Rehabilitation engineering

Rehabilitation engineering is the systematic application of engineering sciences to design, develop, adapt, test, evaluate, apply, and distribute technological solutions to problems confronted by individuals with disabilities. Functional areas addressed through rehabilitation engineering may include mobility, communications, hearing, vision, and cognition, and activities associated with employment, independent living, education, and integration into the community.

While some rehabilitation engineers have master's degrees in rehabilitation engineering, usually a subspecialty of Biomedical engineering, most rehabilitation engineers have an undergraduate or graduate degrees in biomedical engineering, mechanical engineering, or electrical engineering. A Portuguese university provides an undergraduate degree and a master's degree in Rehabilitation Engineering and Accessibility. Qualification to become a Rehab' Engineer in the UK is possible via a University BSc Honours Degree course such as Health Design & Technology Institute, Coventry University.

The rehabilitation process for people with disabilities often entails the design of assistive devices such as Walking aids intended to promote the inclusion of their users into the mainstream of society, commerce, and recreation.

Schematic representation of a normal ECG trace showing sinus rhythm; an example of widely used clinical medical equipment (operates by applying electronic engineering to electrophysiology and medical diagnosis).

Regulatory issues

Regulatory issues have been constantly increased in the last decades to respond to the many incidents caused by devices to patients. For example, from 2008 to 2011, in US, there were 119 FDA recalls of medical devices classified as class I. According to U.S. Food and Drug Administration (FDA), Class I recall is associated to "a situation in which there is a reasonable probability that the use of, or exposure to, a product will cause serious adverse health consequences or death"

Regardless of the country-specific legislation, the main regulatory objectives coincide worldwide. For example, in the medical device regulations, a product must be: 1) safe and 2) effective and 3) for all the manufactured devices

A product is safe if patients, users and third parties do not run unacceptable risks of physical hazards (death, injuries, ...) in its intended use. Protective measures have to be introduced on the devices to reduce residual risks at acceptable level if compared with the benefit derived from the use of it.

A product is effective if it performs as specified by the manufacturer in the intended use. Effectiveness is achieved through clinical evaluation, compliance to performance standards or demonstrations of substantial equivalence with an already marketed device.

The previous features have to be ensured for all the manufactured items of the medical device. This requires that a quality system shall be in place for all the relevant entities and processes that may impact safety and effectiveness over the whole medical device lifecycle.

The medical device engineering area is among the most heavily regulated fields of engineering, and practicing biomedical engineers must routinely consult and cooperate with regulatory law attorneys and other experts. The Food and Drug Administration (FDA) is the principal healthcare regulatory authority in the United States, having jurisdiction over medical devices, drugs, biologics, and combination products. The paramount objectives driving policy decisions by the FDA are safety and effectiveness of healthcare products that have to be assured through a quality system in place as specified under 21 CFR 829 regulation. In addition, because biomedical engineers often develop devices and technologies for "consumer" use, such as physical therapy devices (which are also "medical" devices), these may also be governed in some respects by the Consumer Product Safety Commission. The greatest hurdles tend to be 510K "clearance" (typically for Class 2 devices) or pre-market "approval" (typically for drugs and class 3 devices).

In the European context, safety effectiveness and quality is ensured through the "Conformity Assessment" that is defined as "the method by which a manufacturer demonstrates that its device complies with the requirements of the European Medical Device Directive". The directive specifies different procedures according to the class of the device ranging from the simple Declaration of Conformity (Annex VII) for Class I devices to EC verification (Annex IV), Production quality assurance (Annex V), Product quality assurance (Annex VI) and Full quality assurance (Annex II). The Medical Device Directive specifies detailed procedures for Certification. In general terms, these procedures include tests and verifications that are to be contained in specific deliveries such as the risk management file, the technical file and the quality system deliveries. The risk management file is the first deliverable that conditions the following design and manufacturing steps. Risk management stage shall drive the product so that product risks are reduced at an acceptable level with respect to the benefits expected for the patients for the use of the device. The technical file contains all the documentation data and records supporting medical device certification. FDA technical file has similar content although organized in different structure. The Quality System deliverables usually includes procedures that ensure quality throughout all product life cycle. The same standard (ISO EN 13485) is usually applied for quality management systems in US and worldwide.

Implants, such as artificial hip joints, are generally extensively regulated due to the invasive nature of such devices.

In the European Union, there are certifying entities named "Notified Bodies", accredited by the European Member States. The Notified Bodies must ensure the effectiveness of the certification process for all medical devices apart from the class I devices where a declaration of conformity produced by the manufacturer is sufficient for marketing. Once a product has passed all the steps required by the Medical Device Directive, the device is entitled to bear a CE marking, indicating that the device is believed to be safe and effective when used as intended, and, therefore, it can be marketed within the European Union area.

The different regulatory arrangements sometimes result in particular technologies being developed first for either the U.S. or in Europe depending on the more favorable form of regulation. While nations often strive for substantive harmony to facilitate cross-national distribution, philosophical differences about the optimal extent of regulation can be a hindrance; more restrictive regulations seem appealing on an intuitive level, but critics decry the tradeoff cost in terms of slowing access to life-saving developments.

RoHS II

Directive 2011/65/EU, better known as RoHS 2 is a recast of legislation originally introduced in 2002. The original EU legislation "Restrictions of Certain Hazardous Substances in Electrical and Electronics Devices" (RoHS Directive 2002/95/EC) was replaced and superseded by 2011/65/EU published in July 2011 and commonly known as RoHS 2. RoHS seeks to limit the dangerous substances in circulation in electronics products, in particular toxins and heavy metals, which are subsequently released into the environment when such devices are recycled.

The scope of RoHS 2 is widened to include products previously excluded, such as medical devices and industrial equipment. In addition, manufacturers are now obliged to provide conformity risk assessments and test reports – or explain why they are lacking. For the first time, not only manufacturers but also importers and distributors share a responsibility to ensure Electrical and Electronic Equipment within the scope of RoHS comply with the hazardous substances limits and have a CE mark on their products.

IEC 60601

The new International Standard IEC 60601 for home healthcare electro-medical devices defining the requirements for devices used in the home healthcare environment. IEC 60601-1-11 (2010) must now be incorporated into the design and verification of a wide range of home use and point of care medical devices along with other applicable standards in the IEC 60601 3rd edition series.

The mandatory date for implementation of the EN European version of the standard is June 1, 2013. The US FDA requires the use of the standard on June 30, 2013, while Health Canada recently extended the required date from June 2012 to April 2013. The North American agencies will only require these standards for new device submissions, while the EU will take the more severe approach of requiring all applicable devices being placed on the market to consider the home healthcare standard.

AS/NZS 3551:2012

AS/ANS 3551:2012 is the Australian and New Zealand standards for the management of medical devices. The standard specifies the procedures required to maintain a wide range of medical assets in a clinical setting (e.g. Hospital). The standards are based on the IEC 606101 standards.

The standard covers a wide range of medical equipment management elements including, procurement, acceptance testing, maintenance (electrical safety and preventive maintenance testing) and decommissioning.

Training and certification

Education

Biomedical engineers require considerable knowledge of both engineering and biology, and typically have a Bachelor's (B.Sc., B.S., B.Eng. or B.S.E.) or Master's (M.S., M.Sc., M.S.E., or M.Eng.) or a doctoral (Ph.D.) degree in BME (Biomedical Engineering) or another branch of engineering with considerable potential for BME overlap. As interest in BME increases, many engineering colleges now have a Biomedical Engineering Department or Program, with offerings ranging from the undergraduate (B.Sc., B.S., B.Eng. or B.S.E.) to doctoral levels. Biomedical engineering has only recently been emerging as its own discipline rather than a cross-disciplinary hybrid specialization of other disciplines; and BME programs at all levels are becoming more widespread, including the Bachelor of Science in Biomedical Engineering which actually includes so much biological science content that many students use it as a "pre-med" major in preparation for medical school. The number of biomedical engineers is expected to rise as both a cause and effect of improvements in medical technology.

In the U.S., an increasing number of undergraduate programs are also becoming recognized by ABET as accredited bioengineering/biomedical engineering programs. Over 65 programs are currently accredited by ABET.

In Canada and Australia, accredited graduate programs in biomedical engineering are common. For example, McMaster University offers an M.A.Sc, an MD/PhD, and a PhD in Biomedical engineering. The first Canadian undergraduate BME program was offered at Ryerson University as a four-year B.Eng. program. The Polytechnique in Montreal is also offering a bachelors's degree in biomedical engineering as is Flinders University.

As with many degrees, the reputation and ranking of a program may factor into the desirability of a degree holder for either employment or graduate admission. The reputation of many undergraduate degrees is also linked to the institution's graduate or research programs, which have some tangible factors for rating, such as research funding and volume, publications and citations. With BME specifically, the ranking of a university's hospital and medical school can also be a significant factor in the perceived prestige of its BME department/program.

Graduate education is a particularly important aspect in BME. While many engineering fields (such as mechanical or electrical engineering) do not need graduate-level training to obtain an entry-level job in their field, the majority of BME positions do prefer or even require them. Since most BME-related professions involve scientific research, such as in pharmaceutical and medical device development, graduate education is almost a requirement (as undergraduate degrees typically do not involve sufficient research training and experience). This can be either a Masters or Doctoral level degree; while in certain specialties a Ph.D. is notably more common than in others, it is hardly ever the majority (except in academia). In fact, the perceived need for some kind of graduate credential is so strong that some undergraduate BME programs will actively discourage students from majoring in BME without an expressed intention to also obtain a master's degree or apply to medical school afterwards.

Graduate programs in BME, like in other scientific fields, are highly varied, and particular programs may emphasize certain aspects within the field. They may also feature extensive collaborative efforts with programs in other fields (such as the University's Medical School or other engineering divisions), owing again to the interdisciplinary nature of BME. M.S. and Ph.D. programs will typically require applicants to have an undergraduate degree in BME, or another engineering discipline (plus certain life science coursework), or life science (plus certain engineering coursework).

Education in BME also varies greatly around the world. By virtue of its extensive biotechnology sector, its numerous major universities, and relatively few internal barriers, the U.S. has progressed a great deal in its development of BME education and training opportunities. Europe, which also has a large biotechnology sector and an impressive education system, has encountered trouble in creating uniform standards as the European community attempts to supplant some of the national jurisdictional barriers that still exist. Recently, initiatives such as BIOMEDEA have sprung up to develop BME-related education and professional standards. Other countries, such as Australia, are recognizing and moving to correct deficiencies in their BME education. Also, as high technology endeavors are usually marks of developed nations, some areas of the world are prone to slower development in education, including in BME.

Licensure/certification

As with other learned professions, each state has certain (fairly similar) requirements for becoming licensed as a registered Professional Engineer (PE), but, in US, in industry such a license is not required to be an employee as an engineer in the majority of situations (due to an exception known as the industrial exemption, which effectively applies to the vast majority of American engineers). The US model has generally been only to require the practicing engineers offering engineering services that impact the public welfare, safety, safeguarding of life, health, or property to be licensed, while engineers working in private industry without a direct offering of engineering services to the public or other businesses, education, and government need not be licensed. This is notably not the case in many other countries, where a license is as legally necessary to practice engineering as it is for law or medicine.

Biomedical engineering is regulated in some countries, such as Australia, but registration is typically only recommended and not required.

In the UK, mechanical engineers working in the areas of Medical Engineering, Bioengineering or Biomedical engineering can gain Chartered Engineer status through the Institution of Mechanical Engineers. The Institution also runs the Engineering in Medicine and Health Division. The Institute of Physics and Engineering in Medicine (IPEM) has a panel for the accreditation of MSc courses in Biomedical Engineering and Chartered Engineering status can also be sought through IPEM.

The Fundamentals of Engineering exam – the first (and more general) of two licensure examinations for most U.S. jurisdictions—does now cover biology (although technically not BME). For the second exam, called the Principles and Practices, Part 2, or the Professional Engineering exam, candidates may select a particular engineering discipline's content to be tested on; there is currently not an option for BME with this, meaning that any biomedical engineers seeking a license must prepare to take this examination in another category (which does not affect the actual license, since most jurisdictions do not recognize discipline specialties anyway). However, the Biomedical Engineering Society (BMES) is, as of 2009, exploring the possibility of seeking to implement a BME-specific version of this exam to facilitate biomedical engineers pursuing licensure.

Beyond governmental registration, certain private-sector professional/industrial organizations also offer certifications with varying degrees of prominence. One such example is the Certified Clinical Engineer (CCE) certification for Clinical engineers.

Career prospects

In 2012 there were about 19,400 biomedical engineers employed in the US, and the field was predicted to grow by 27% (much faster than average) from 2012 to 2022. Biomedical engineering has the highest percentage of female engineers compared to other common engineering professions.

Notable figures

• Earl Bakken - Invented the first transistorised pacemaker, co-founder of Medtronic.
• Forrest Bird (deceased) – aviator and pioneer in the invention of mechanical ventilators
• Y.C. Fung (deceased) – professor emeritus at the University of California, San Diego, considered by many to be the founder of modern biomechanics
• Leslie Geddes (deceased) – professor emeritus at Purdue University, electrical engineer, inventor, and educator of over 2000 biomedical engineers, received a National Medal of Technology in 2006 from President George Bush for his more than 50 years of contributions that have spawned innovations ranging from burn treatments to miniature defibrillators, ligament repair to tiny blood pressure monitors for premature infants, as well as a new method for performing cardiopulmonary resuscitation (CPR).
• Willem Johan Kolff (deceased) – pioneer of hemodialysis as well as in the field of artificial organs
• Robert Langer – Institute Professor at MIT, runs the largest BME laboratory in the world, pioneer in drug delivery and tissue engineering
• John Macleod (deceased) – one of the co-discoverers of insulin at Case Western Reserve University.
• Alfred E. Mann – Physicist, entrepreneur and philanthropist. A pioneer in the field of Biomedical Engineering.
• J. Thomas Mortimer – Emeritus professor of biomedical engineering at Case Western Reserve University. Pioneer in Functional Electrical Stimulation (FES)
• Robert M. Nerem – professor emeritus at Georgia Institute of Technology. Pioneer in regenerative tissue, biomechanics, and author of over 300 published works. His works have been cited more than 20,000 times cumulatively.
• P. Hunter Peckham – Donnell Professor of Biomedical Engineering and Orthopaedics at Case Western Reserve University. Pioneer in Functional Electrical Stimulation (FES)
• Nicholas A. Peppas – Chaired Professor in Engineering, University of Texas at Austin, pioneer in drug delivery, biomaterials, hydrogels and nanobiotechnology.
• Robert Plonsey – professor emeritus at Duke University, pioneer of electrophysiology
• Otto Schmitt (deceased) – biophysicist with significant contributions to BME, working with biomimetics
• Ascher Shapiro (deceased) – Institute Professor at MIT, contributed to the development of the BME field, medical devices (e.g. intra-aortic balloons)
• Gordana Vunjak-Novakovic – University Professor at Columbia University, pioneer in tissue engineering and bioreactor design
• John G. Webster – professor emeritus at the University of Wisconsin–Madison, a pioneer in the field of instrumentation amplifiers for the recording of electrophysiological signals
• Fred Weibell, coauthor of Biomedical Instrumentation and Measurements
• U.A. Whitaker (deceased) – provider of the Whitaker Foundation, which supported research and education in BME by providing over $700 million to various universities, helping to create 30 BME programs and helping finance the construction of 13 buildings

Cyborg (partial)

From Wikipedia, the free encyclopedia

https://en.wikipedia.org/wiki/Cyborg 

Cyborgs
Cyborgology
Bionics Biomimicry Biomedical engineering Brain–computer interface Cybernetics Distributed cognition Genetic engineering Human ecosystem Human enhancement Intelligence amplification Whole brain emulation
Theory
Cyborg anthropology
Centers
Cyberpunk Cyberspace
Politics
Cognitive liberty Extropianism Morphological freedom Singularitarianism Techno-progressivism Transhumanism
Related articles
Cyborg art

A cyborg (/ˈsaɪbɔːrɡ/)—a portmanteau of cybernetic and organism—is a being with both organic and biomechatronic body parts. The term was coined in 1960 by Manfred Clynes and Nathan S. Kline.

Definition and distinctions

"Cyborg" is not the same thing as bionic, biorobot, or android; it applies to an organism that has restored function or enhanced abilities due to the integration of some artificial component or technology that relies on some sort of feedback. While cyborgs are commonly thought of as mammals, including humans, they might also conceivably be any kind of organism.

D. S. Halacy's Cyborg: Evolution of the Superman (1965) featured an introduction which spoke of a "new frontier" that was "not merely space, but more profoundly the relationship between 'inner space' to 'outer space' – a bridge...between mind and matter."

Biosocial definition

According to some definitions of the term, the physical attachments that humans have with even the most basic technologies have already made them cyborgs. In a typical example, a human with an artificial cardiac pacemaker or implantable cardioverter-defibrillator would be considered a cyborg, since these devices measure voltage potentials in the body, perform signal processing, and can deliver electrical stimuli, using this synthetic feedback mechanism to keep that person alive. Implants, especially cochlear implants, that combine mechanical modification with any kind of feedback response are also cyborg enhancements. Some theorists cite such modifications as contact lenses, hearing aids, smartphones, or intraocular lenses as examples of fitting humans with technology to enhance their biological capabilities.

As cyborgs currently are on the rise, some theorists argue there is a need to develop new definitions of aging. (For instance, a bio-techno-social definition of aging has been suggested.)

The term is also used to address human-technology mixtures in the abstract. This includes not only commonly-used pieces of technology such as phones, computers, the Internet, and so on, but also artifacts that may not popularly be considered technology; for example, pen and paper, and speech and language. When augmented with these technologies and connected in communication with people in other times and places, a person becomes capable of much more than they were before. An example is a computer, which gains power by using Internet protocols to connect with other computers. Another example are social-media bots—either bot-assisted humans or human-assisted-bots—used to target social media with likes and shares. Cybernetic technologies include highways, pipes, electrical wiring, buildings, electrical plants, libraries, and other infrastructure that people hardly notice, but which are critical parts of the cybernetics that humans work within.

Bruce Sterling, in his Shaper/Mechanist universe, suggested an idea of alternative cyborg called 'Lobster', which is made not by using internal implants, but by using an external shell (e.g. a powered exoskeleton). Unlike human cyborgs, who appear human externally but are synthetic internally (e.g., the Bishop type in the Alien franchise), Lobster looks inhuman externally but contains a human internally (such as in Elysium and RoboCop). The computer game Deus Ex: Invisible War prominently featured cyborgs called Omar, which is a Russian translation of the word 'Lobster' (as the Omar are of Russian origin in the game).

Visual appearance of fictional cyborgs

In science fiction, the most stereotypical portrayal of a cyborg is a person (or, more rarely, an animal) with visible added mechanical parts. These include superhero Cyborg (DC Comics) and the Borg (Star Trek).

However, cyborgs can also be portrayed as looking more robotic or more organic. They may appear as humanoid robots, such as Robotman (from DC's Doom Patrol) or most varieties of the Cybermen (Doctor Who); they can appear as non-humanoid robots such as the Daleks (again, from Doctor Who) or like the majority of the motorball players in Battle Angel Alita.

More human-appearing cyborgs may cover up their mechanical parts with armor or clothing, such as Darth Vader (Star Wars) or Misty Knight (Marvel Comics). Cyborgs may have mechanical parts or bodies that appear human. For example, the eponymous Six Million Dollar Man and the Bionic Woman (from their respective television series) have prostheses externally identical to the body parts that they replace; while Motoko Kusanagi (Ghost in the Shell) is a full-body cyborg whose body appears human. In these examples, among others, it is common for cyborgs to have superhuman (physical or mental) abilities, including great strength, enhanced senses, computer-assisted brains, or built-in weaponry.

Origins

The concept of a man-machine mixture was widespread in science fiction before World War II. As early as 1843, Edgar Allan Poe described a man with extensive prostheses in the short story "The Man That Was Used Up". In 1911, Jean de La Hire introduced the Nyctalope, a science fiction hero who was perhaps the first literary cyborg, in Le Mystère des XV (later translated as The Nyctalope on Mars). Nearly two decades later, Edmond Hamilton presented space explorers with a mixture of organic and machine parts in his 1928 novel The Comet Doom. He later featured the talking, living brain of an old scientist, Simon Wright, floating around in a transparent case, in all the adventures of his famous hero, Captain Future. In 1944, in the short story "No Woman Born", C. L. Moore wrote of Deirdre, a dancer, whose body was burned completely and whose brain was placed in a faceless but beautiful and supple mechanical body.

In 1960, the term cyborg was coined by Manfred E. Clynes and Nathan S. Kline to refer to their conception of an enhanced human being who could survive in extraterrestrial environments:

For the exogenously extended organizational complex functioning as an integrated homeostatic system unconsciously, we propose the term 'Cyborg'.

Their concept was the outcome of thinking about the need for an intimate relationship between human and machine as the new frontier of space exploration was beginning to open up. A designer of physiological instrumentation and electronic data-processing systems, Clynes was the chief research scientist in the Dynamic Simulation Laboratory at Rockland State Hospital in New York.

The term first appears in print 5 months earlier when The New York Times reported on the "Psychophysiological Aspects of Space Flight Symposium" where Clynes and Kline first presented their paper:

A cyborg is essentially a man-machine system in which the control mechanisms of the human portion are modified externally by drugs or regulatory devices so that the being can live in an environment different from the normal one.

Thereafter, Hamilton would first use the term cyborg explicitly in the 1962 short story, "After a Judgment Day", to describe the "mechanical analogs" called "Charlies," explaining that "[c]yborgs, they had been called from the first one in the 1960s...cybernetic organisms."

In 2001, a book titled Cyborg: Digital Destiny and Human Possibility in the Age of the Wearable Computer was published by Doubleday. Some of the ideas in the book were incorporated into the 35-mm motion picture film Cyberman that same year.

Cyborg tissues in engineering

Cyborg tissues structured with carbon nanotubes and plant or fungal cells have been used in artificial tissue engineering to produce new materials for mechanical and electrical uses.

Such work was presented by Raffaele Di Giacomo, Bruno Maresca, and others, at the Materials Research Society's spring conference on 3 April 2013. The cyborg obtained was inexpensive, light and had unique mechanical properties. It could also be shaped in the desired forms. Cells combined with multi-walled nanotubes (MWCNTs) co-precipitated as a specific aggregate of cells and nanotubes that formed a viscous material. Likewise, dried cells still acted as a stable matrix for the MWCNT network. When observed by optical microscopy, the material resembled an artificial "tissue" composed of highly-packed cells. The effect of cell drying was manifested by their "ghost cell" appearance. A rather specific physical interaction between MWCNTs and cells was observed by electron microscopy, suggesting that the cell wall (the most outer part of fungal and plant cells) may play a major active role in establishing a carbon nanotube's network and its stabilization. This novel material can be used in a wide range of electronic applications, from heating to sensing. For instance, using Candida albicans cells cyborg tissue materials with temperature sensing properties have been reported.

Actual cyborgization attempts

Cyborg Neil Harbisson with his antenna implant

In current prosthetic applications, the C-Leg system developed by Otto Bock HealthCare is used to replace a human leg that has been amputated because of injury or illness. The use of sensors in the artificial C-Leg aids in walking significantly by attempting to replicate the user's natural gait, as it would be prior to amputation. Prostheses like the C-Leg and the more advanced iLimb are considered by some to be the first real steps towards the next generation of real-world cyborg applications. Additionally cochlear implants and magnetic implants which provide people with a sense that they would not otherwise have had can additionally be thought of as creating cyborgs.

In vision science, direct brain implants have been used to treat non-congenital (acquired) blindness. One of the first scientists to come up with a working brain interface to restore sight was a private researcher William Dobelle. Dobelle's first prototype was implanted into "Jerry", a man blinded in adulthood, in 1978. A single-array BCI containing 68 electrodes was implanted onto Jerry's visual cortex and succeeded in producing phosphenes, the sensation of seeing light. The system included cameras mounted on glasses to send signals to the implant. Initially, the implant allowed Jerry to see shades of grey in a limited field of vision at a low frame-rate. This also required him to be hooked up to a two-ton mainframe, but shrinking electronics and faster computers made his artificial eye more portable and now enable him to perform simple tasks unassisted.

In 1997, Philip Kennedy, a scientist and physician, created the world's first human cyborg from Johnny Ray, a Vietnam veteran who suffered a stroke. Ray's body, as doctors called it, was "locked in". Ray wanted his old life back so he agreed to Kennedy's experiment. Kennedy embedded an implant he designed (and named "neurotrophic electrode") near the part of Ray's brain so that Ray would be able to have some movement back in his body. The surgery went successfully, but in 2002, Johnny Ray died.

In 2002, Canadian Jens Naumann, also blinded in adulthood, became the first in a series of 16 paying patients to receive Dobelle's second generation implant, marking one of the earliest commercial uses of BCIs. The second-generation device used a more sophisticated implant enabling better mapping of phosphenes into a coherent vision. Phosphenes are spread out across the visual field in what researchers call the starry-night effect. Immediately after his implant, Naumann was able to use his imperfectly restored vision to drive slowly around the parking area of the research institute.

In contrast to replacement technologies, in 2002, under the heading Project Cyborg, a British scientist, Kevin Warwick, had an array of 100 electrodes fired into his nervous system in order to link his nervous system into the internet to investigate enhancement possibilities. With this in place, Warwick successfully carried out a series of experiments including extending his nervous system over the internet to control a robotic hand, also receiving feedback from the fingertips in order to control the hand's grip. This was a form of extended sensory input. Subsequently, he investigated ultrasonic input in order to remotely detect the distance to objects. Finally, with electrodes also implanted into his wife's nervous system, they conducted the first direct electronic communication experiment between the nervous systems of two humans.

Since 2004, British artist Neil Harbisson has had a cyborg antenna implanted in his head that allows him to extend his perception of colors beyond the human visual spectrum through vibrations in his skull. His antenna was included within his 2004 passport photograph which has been claimed to confirm his cyborg status. In 2012 at TEDGlobal, Harbisson explained that he started to feel cyborg when he noticed that the software and his brain had united and given him an extra sense. Neil Harbisson is a co-founder of the Cyborg Foundation (2004) and cofounded the Transpecies Society in 2017, which is an association that empowers the individuals with non-human identities and supports them in their decisions to develop unique senses and new organs. Neil Harbisson is a global advocate for the rights of cyborgs.

Rob Spence, a Toronto-based film-maker, who titles himself a real-life "Eyeborg," severely damaged his right eye in a shooting accident on his grandfather's farm as a child. Many years later, in 2005, he decided to have his ever-deteriorating and now technically blind eye surgically removed, whereafter he wore an eye patch for some time before he later, after having played for some time with the idea of installing a camera instead, contacted professor Steve Mann at the Massachusetts Institute of Technology, an expert in wearable computing and cyborg technology.

Under Mann's guidance, Spence, at age 36, created a prototype in the form of the miniature camera which could be fitted inside his prosthetic eye; an invention would come to be named by Time magazine as one of the best inventions of 2009. The bionic eye records everything he sees and contains a 1.5 mm-square, low-resolution video camera, a small round printed circuit board, a wireless video transmitter, which allows him to transmit what he is seeing in real-time to a computer, and a 3-voltage rechargeable Varta microbattery. The eye is not connected to his brain and has not restored his sense of vision. Additionally, Spence has also installed a laser-like LED light in one version of the prototype.

Furthermore, many cyborgs with multifunctional microchips injected into their hand are known to exist. With the chips they are able to swipe cards, open or unlock doors, operate devices such as printers or, with some using a cryptocurrency, buy products, such as drinks, with a wave of the hand.

bodyNET

bodyNET is an application of human-electronic interaction currently in development by researchers from Stanford University. The technology is based on stretchable semiconductor materials (Elastronic). According to their article in Nature, the technology is composed of smart devices, screens, and a network of sensors that can be implanted into the body, woven into the skin or worn as clothes. It has been suggested, that this platform can potentially replace the smartphone in the future.

Animal cyborgs

The US-based company Backyard Brains released what they refer to as the "world's first commercially available cyborg" called the RoboRoach. The project started as a senior design project for a University of Michigan biomedical engineering student in 2010, and was launched as an available beta product on 25 February 2011.

The RoboRoach was officially released into production via a TED talk at the TED Global conference; and via the crowdsourcing website Kickstarter in 2013, the kit allows students to use microstimulation to momentarily control the movements of a walking cockroach (left and right) using a bluetooth-enabled smartphone as the controller.

Other groups have developed cyborg insects, including researchers at North Carolina State University, UC Berkeley, and Nanyang Technological University, Singapore, but the RoboRoach was the first kit available to the general public and was funded by the National Institute of Mental Health as a device to serve as a teaching aid to promote an interest in neuroscience. Several animal welfare organizations including the RSPCA and PETA have expressed concerns about the ethics and welfare of animals in this project.

In the late 2010s, scientists created cyborg jellyfish using a microelectronic prosthetic that propels the animal to swim almost three times faster while using just twice the metabolic energy of their unmodified peers. The prosthetics can be removed without harming the jellyfish.

Limits of computation

From Wikipedia, the free encyclopedia

https://en.wikipedia.org/wiki/Limits_of_computation 

The limits of computation are governed by a number of different factors. In particular, there are several physical and practical limits to the amount of computation or data storage that can be performed with a given amount of mass, volume, or energy.

Hardware limits or physical limits

Processing and memory density

• The Bekenstein bound limits the amount of information that can be stored within a spherical volume to the entropy of a black hole with the same surface area.
• Thermodynamics limit the data storage of a system based on its energy, number of particles and particle modes. In practice, it is a stronger bound than the Bekenstein bound.

Processing speed

• Bremermann's limit is the maximum computational speed of a self-contained system in the material universe, and is based on mass-energy versus quantum uncertainty constraints.

Communication delays

• The Margolus–Levitin theorem sets a bound on the maximum computational speed per unit of energy: 6 × 10³³ operations per second per joule. This bound, however, can be avoided if there is access to quantum memory. Computational algorithms can then be designed that require arbitrarily small amounts of energy/time per one elementary computation step.

Energy supply

• Landauer's principle defines a lower theoretical limit for energy consumption: kT ln 2 consumed per irreversible state change, where k is the Boltzmann constant and T is the operating temperature of the computer. Reversible computing is not subject to this lower bound. T cannot, even in theory, be made lower than 3 kelvins, the approximate temperature of the cosmic microwave background radiation, without spending more energy on cooling than is saved in computation. However, on a timescale of 10⁹ - 10¹⁰ years, the cosmic microwave background radiation will be decreasing exponentially, which has been argued to eventually enable 10³⁰ as much computations per unit of energy. Important parts of this argument have been disputed.

Building devices that approach physical limits

Several methods have been proposed for producing computing devices or data storage devices that approach physical and practical limits:

• A cold degenerate star could conceivably be used as a giant data storage device, by carefully perturbing it to various excited states, in the same manner as an atom or quantum well used for these purposes. Such a star would have to be artificially constructed, as no natural degenerate stars will cool to this temperature for an extremely long time. It is also possible that nucleons on the surface of neutron stars could form complex "molecules", which some have suggested might be used for computing purposes, creating a type of computronium based on femtotechnology, which would be faster and denser than computronium based on nanotechnology.
• It may be possible to use a black hole as a data storage or computing device, if a practical mechanism for extraction of contained information can be found. Such extraction may in principle be possible (Stephen Hawking's proposed resolution to the black hole information paradox). This would achieve storage density exactly equal to the Bekenstein bound. Seth Lloyd calculated the computational abilities of an "ultimate laptop" formed by compressing a kilogram of matter into a black hole of radius 1.485 × 10⁻²⁷ meters, concluding that it would only last about 10⁻¹⁹ seconds before evaporating due to Hawking radiation, but that during this brief time it could compute at a rate of about 5 × 10⁵⁰ operations per second, ultimately performing about 10³² operations on 10¹⁶ bits (~1 PB). Lloyd notes that "Interestingly, although this hypothetical computation is performed at ultra-high densities and speeds, the total number of bits available to be processed is not far from the number available to current computers operating in more familiar surroundings."
• In The Singularity is Near, Ray Kurzweil cites the calculations of Seth Lloyd that a universal-scale computer is capable of 10⁹⁰ operations per second. The mass of the universe can be estimated at 3 × 10⁵² kilograms. If all matter in the universe was turned into a black hole, it would have a lifetime of 2.8 × 10¹³⁹ seconds before evaporating due to Hawking radiation. During that lifetime such a universal-scale black hole computer would perform 2.8 × 10²²⁹ operations.

Abstract limits in computer science

In the field of theoretical computer science the computability and complexity of computational problems are often sought-after. Computability theory describes the degree to which problems are computable, whereas complexity theory describes the asymptotic degree of resource consumption. Computational problems are therefore confined into complexity classes. The arithmetical hierarchy and polynomial hierarchy classify the degree to which problems are respectively computable and computable in polynomial time. For instance, the level ${\displaystyle \Sigma _{0}^{0}=\Pi _{0}^{0}=\Delta _{0}^{0}}$ of the arithmetical hierarchy classifies computable, partial functions. Moreover, this hierarchy is strict such that at any other class in the arithmetic hierarchy classifies strictly uncomputable functions.

Loose and tight limits

Many limits derived in terms of physical constants and abstract models of computation in computer science are loose. Very few known limits directly obstruct leading-edge technologies, but many engineering obstacles currently cannot be explained by closed-form limits.

 

The Singularity Is Near

From Wikipedia, the free encyclopedia

https://en.wikipedia.org/wiki/The_Singularity_Is_Near 

 

The Singularity Is Near: When Humans Transcend Biology

Author	Ray Kurzweil
Country	United States
Language	English
Publisher	Viking
Publication date	September 2005
Pages	652
ISBN	978-0-670-03384-3
OCLC	57201348
Dewey Decimal	153.9
LC Class	QP376 .K85
Preceded by	The Age of Spiritual Machines
Followed by	How to Create a Mind

The Singularity Is Near: When Humans Transcend Biology is a 2005 non-fiction book about artificial intelligence and the future of humanity by inventor and futurist Ray Kurzweil.

The book builds on the ideas introduced in Kurzweil's previous books, The Age of Intelligent Machines (1990) and The Age of Spiritual Machines (1999). This time, however, Kurzweil embraces the term the Singularity, which was popularized by Vernor Vinge in his 1993 essay "The Coming Technological Singularity."

Kurzweil describes his law of accelerating returns which predicts an exponential increase in technologies like computers, genetics, nanotechnology, robotics and artificial intelligence. Once the Singularity has been reached, Kurzweil says that machine intelligence will be infinitely more powerful than all human intelligence combined. Afterwards he predicts intelligence will radiate outward from the planet until it saturates the universe. The Singularity is also the point at which machines' intelligence and humans would merge.

Content

Exponential growth

Kurzweil characterizes evolution throughout all time as progressing through six epochs, each one building on the one before. He says the four epochs which have occurred so far are Physics and Chemistry, Biology and DNA, Brains, and Technology. Kurzweil predicts the Singularity will coincide with the next epoch, The Merger of Human Technology with Human Intelligence. After the Singularity he says the final epoch will occur, The Universe Wakes Up.

Kurzweil explains that evolutionary progress is exponential because of positive feedback; the results of one stage are used to create the next stage. Exponential growth is deceptive, nearly flat at first until it hits what Kurzweil calls "the knee in the curve" then rises almost vertically. In fact Kurzweil believes evolutionary progress is super-exponential because more resources are deployed to the winning process. As an example of super-exponential growth Kurzweil cites the computer chip business. The overall budget for the whole industry increases over time, since the fruits of exponential growth make it an attractive investment; meanwhile the additional budget fuels more innovation which makes the industry grow even faster, effectively an example of "double" exponential growth.

Kurzweil says evolutionary progress looks smooth, but that really it is divided into paradigms, specific methods of solving problems. Each paradigm starts with slow growth, builds to rapid growth, and then levels off. As one paradigm levels off, pressure builds to find or develop a new paradigm. So what looks like a single smooth curve is really series of smaller S curves. For example, Kurzweil notes that when vacuum tubes stopped getting faster, cheaper transistors became popular and continued the overall exponential growth.

Kurzweil calls this exponential growth the law of accelerating returns, and he believes it applies to many human-created technologies such as computer memory, transistors, microprocessors, DNA sequencing, magnetic storage, the number of Internet hosts, Internet traffic, decrease in device size, and nanotech citations and patents. Kurzweil cites two historical examples of exponential growth: the Human Genome Project and the growth of the Internet. Kurzweil claims the whole world economy is in fact growing exponentially, although short term booms and busts tend to hide this trend.

Computational capacity

Moore's Law

 

An updated version of Moore's Law over 120 Years (based on Kurzweil's graph). The 7 most recent data points are all NVIDIA GPUs.

A fundamental pillar of Kurzweil's argument is that to get to the Singularity, computational capacity is as much of a bottleneck as other things like quality of algorithms and understanding of the human brain. Moore's Law predicts the capacity of integrated circuits grows exponentially, but not indefinitely. Kurzweil feels the increase in the capacity of integrated circuits will probably slow by the year 2020. He feels confident that a new paradigm will debut at that point to carry on the exponential growth predicted by his law of accelerating returns. Kurzweil describes four paradigms of computing that came before integrated circuits: electromechanical, relay, vacuum tube, and transistors. What technology will follow integrated circuits, to serve as the sixth paradigm, is unknown, but Kurzweil believes nanotubes are the most likely alternative among a number of possibilities:

nanotubes and nanotube circuitry, molecular computing, self-assembly in nanotube circuits, biological systems emulating circuit assembly, computing with DNA, spintronics (computing with the spin of electrons), computing with light, and quantum computing.

Since Kurzweil believes computational capacity will continue to grow exponentially long after Moore's Law ends it will eventually rival the raw computing power of the human brain. Kurzweil looks at several different estimates of how much computational capacity is in the brain and settles on 10¹⁶ calculations per second and 10¹³ bits of memory. He writes that $1,000 will buy computer power equal to a single brain "by around 2020" while by 2045, the onset of the Singularity, he says the same amount of money will buy one billion times more power than all human brains combined today. Kurzweil admits the exponential trend in increased computing power will hit a limit eventually, but he calculates that limit to be trillions of times beyond what is necessary for the Singularity.

The brain

Exponential Growth of Computing

Kurzweil notes that computational capacity alone will not create artificial intelligence. He asserts that the best way to build machine intelligence is to first understand human intelligence. The first step is to image the brain, to peer inside it. Kurzweil claims imaging technologies such as PET and fMRI are increasing exponentially in resolution while he predicts even greater detail will be obtained during the 2020s when it becomes possible to scan the brain from the inside using nanobots. Once the physical structure and connectivity information are known, Kurzweil says researchers will have to produce functional models of sub-cellular components and synapses all the way up to whole brain regions. The human brain is "a complex hierarchy of complex systems, but it does not represent a level of complexity beyond what we are already capable of handling".

Beyond reverse engineering the brain in order to understand and emulate it, Kurzweil introduces the idea of "uploading" a specific brain with every mental process intact, to be instantiated on a "suitably powerful computational substrate". He writes that general modeling requires 10¹⁶ calculations per second and 10¹³ bits of memory, but then explains uploading requires additional detail, perhaps as many as 10¹⁹ cps and 10¹⁸ bits. Kurzweil says the technology to do this will be available by 2040. Rather than an instantaneous scan and conversion to digital form, Kurzweil feels humans will most likely experience gradual conversion as portions of their brain are augmented with neural implants, increasing their proportion of non-biological intelligence slowly over time.

Kurzweil believes there is "no objective test that can conclusively determine" the presence of consciousness. Therefore, he says nonbiological intelligences will claim to have consciousness and "the full range of emotional and spiritual experiences that humans claim to have"; he feels such claims will generally be accepted.

Genetics, nanotechnology and robotics (AI)

Kurzweil says revolutions in genetics, nanotechnology and robotics will usher in the beginning of the Singularity. Kurzweil feels with sufficient genetic technology it should be possible to maintain the body indefinitely, reversing aging while curing cancer, heart disease and other illnesses. Much of this will be possible thanks to nanotechnology, the second revolution, which entails the molecule by molecule construction of tools which themselves can "rebuild the physical world". Finally, the revolution in robotics will really be the development of strong AI, defined as machines which have human-level intelligence or greater. This development will be the most important of the century, "comparable in importance to the development of biology itself".

Kurzweil concedes that every technology carries with it the risk of misuse or abuse, from viruses and nanobots to out-of-control AI machines. He believes the only countermeasure is to invest in defensive technologies, for example by allowing new genetics and medical treatments, monitoring for dangerous pathogens, and creating limited moratoriums on certain technologies. As for artificial intelligence Kurzweil feels the best defense is to increase the "values of liberty, tolerance, and respect for knowledge and diversity" in society, because "the nonbiological intelligence will be embedded in our society and will reflect our values".

The Singularity

Countdown to the Singularity

Kurzweil touches on the history of the Singularity concept, tracing it back to John von Neumann in the 1950s and I. J. Good in the 1960s. He compares his Singularity to that of a mathematical or astrophysical singularity. While his ideas of a Singularity is not actually infinite, he says it looks that way from any limited perspective.

During the Singularity, Kurzweil predicts that "human life will be irreversibly transformed" and that humans will transcend the "limitations of our biological bodies and brain". He looks beyond the Singularity to say that "the intelligence that will emerge will continue to represent the human civilization." Further, he feels that "future machines will be human, even if they are not biological".

Kurzweil claims once nonbiological intelligence predominates the nature of human life will be radically altered: there will be radical changes in how humans learn, work, play, and wage war. Kurzweil envisions nanobots which allow people to eat whatever they want while remaining thin and fit, provide copious energy, fight off infections or cancer, replace organs and augment their brains. Eventually people's bodies will contain so much augmentation they'll be able to alter their "physical manifestation at will".

Kurzweil says the law of accelerating returns suggests that once a civilization develops primitive mechanical technologies, it is only a few centuries before they achieve everything outlined in the book, at which point it will start expanding outward, saturating the universe with intelligence. Since people have found no evidence of other civilizations, Kurzweil believes humans are likely alone in the universe. Thus Kurzweil concludes it is humanity's destiny to do the saturating, enlisting all matter and energy in the process.

As for individual identities during these radical changes, Kurzweil suggests people think of themselves as an evolving pattern rather than a specific collection of molecules. Kurzweil says evolution moves towards "greater complexity, greater elegance, greater knowledge, greater intelligence, greater beauty, greater creativity, and greater levels of subtle attributes such as love". He says that these attributes, in the limit, are generally used to describe God. That means, he continues, that evolution is moving towards a conception of God and that the transition away from biological roots is in fact a spiritual undertaking.

Predictions

Kurzweil does not include an actual written timeline of the past and future, as he did in The Age of Intelligent Machines and The Age of Spiritual Machines, however he still makes many specific predictions. Kurzweil writes that by 2010 a supercomputer will have the computational capacity to emulate human intelligence and "by around 2020" this same capacity will be available "for one thousand dollars". After that milestone he expects human brain scanning to contribute to an effective model of human intelligence "by the mid-2020s". These two elements will culminate in computers that can pass the Turing test by 2029. By the early 2030s the amount of non-biological computation will exceed the "capacity of all living biological human intelligence". Finally the exponential growth in computing capacity will lead to the Singularity. Kurzweil spells out the date very clearly: "I set the date for the Singularity—representing a profound and disruptive transformation in human capability—as 2045".

Reception

Analysis

A common criticism of the book relates to the "exponential growth fallacy". As an example, in 1969, man landed on the moon. Extrapolating exponential growth from there one would expect huge lunar bases and manned missions to distant planets. Instead, exploration stalled or even regressed after that. Paul Davies writes "the key point about exponential growth is that it never lasts" often due to resource constraints. On the other hand, it has been shown that the global acceleration until recently followed a hyperbolic rather than exponential pattern.

Theodore Modis says "nothing in nature follows a pure exponential" and suggests the logistic function is a better fit for "a real growth process". The logistic function looks like an exponential at first but then tapers off and flattens completely. For example, world population and the United States's oil production both appeared to be rising exponentially, but both have leveled off because they were logistic. Kurzweil says "the knee in the curve" is the time when the exponential trend is going to explode, while Modis claims if the process is logistic when you hit the "knee" the quantity you are measuring is only going to increase by a factor of 100 more.

While some critics complain that the law of accelerating returns is not a law of nature others question the religious motivations or implications of Kurzweil's Singularity. The buildup towards the Singularity is compared with Judeo-Christian end-of-time scenarios. Beam calls it "a Buck Rogers vision of the hypothetical Christian Rapture". John Gray says "the Singularity echoes apocalyptic myths in which history is about to be interrupted by a world-transforming event".

The radical nature of Kurzweil's predictions is often discussed. Anthony Doerr says that before you "dismiss it as techno-zeal" consider that "every day the line between what is human and what is not quite human blurs a bit more". He lists technology of the day, in 2006, like computers that land supersonic airplanes or in vitro fertility treatments and asks whether brain implants that access the internet or robots in our blood really are that unbelievable.

In regard to reverse engineering the brain, neuroscientist David J. Linden writes that "Kurzweil is conflating biological data collection with biological insight". He feels that data collection might be growing exponentially, but insight is increasing only linearly. For example, the speed and cost of sequencing genomes is also improving exponentially, but our understanding of genetics is growing very slowly. As for nanobots Linden believes the spaces available in the brain for navigation are simply too small. He acknowledges that someday we will fully understand the brain, just not on Kurzweil's timetable.

Reviews

Paul Davies wrote in Nature that The Singularity is Near is a "breathless romp across the outer reaches of technological possibility" while warning that the "exhilarating speculation is great fun to read, but needs to be taken with a huge dose of salt."

Anthony Doerr in The Boston Globe wrote "Kurzweil's book is surprisingly elaborate, smart, and persuasive. He writes clean methodical sentences, includes humorous dialogues with characters in the future and past, and uses graphs that are almost always accessible." while his colleague Alex Beam points out that "Singularitarians have been greeted with hooting skepticism". Janet Maslin in The New York Times wrote "The Singularity is Near is startling in scope and bravado", but says "much of his thinking tends to be pie in the sky". She observes that he's more focused on optimistic outcomes rather than the risks.

Film adaptations

In 2006, Barry Ptolemy and his production company Ptolemaic Productions licensed the rights to The Singularity Is Near from Kurzweil. Inspired by the book, Ptolemy directed and produced the film Transcendent Man, which went on to bring more attention to the book.

Kurzweil also directed his own film adaptation, produced in partnership with Terasem; The Singularity is Near mixes documentary interviews with a science-fiction story involving his robotic avatar Ramona's transformation into an artificial general intelligence. Screened at the World Film Festival, the Woodstock Film Festival, the Warsaw International FilmFest, the San Antonio Film Festival in 2010 and the San Francisco Indie Film Festival in 2011, the movie was released generally on July 20, 2012. It is available on DVD or digital download.