Technological Singularity Knowledge And References Taylor Francis

Bonisiwe Shabane
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technological singularity knowledge and references taylor francis

Published in Arkapravo Bhaumik, From AI to Robotics, 2018 This apocalyptic future, where technological intelligence is a few million times that of the average human intelligence and technological progress is so fast that it is difficult to keep track of it, is known... AI scientists also relate this event to the coming of super intelligence [43], artificial entities which have cognitive abilities a million times richer in intellect and are stupendously faster than the processing of the... The irony is such that nowadays the monikers of Terminator and Skynet [318], as shown in Figure 10.1, are quickly married into research and innovation in AI [185] and robotics [66], such as Google... and has consequently led to fear mongering [255,306,355] and drafting of guidelines [24,224,274], rules [364] and laws [60,342,348] to tackle this apocalypse of the future. These edicts attempt to restore human superiority by either reducing robots to mere artifacts and machines or tries to make a moral call to the AI scientist, insisting on awareness of the consequences.

Therefore, advancing AI clearly sets the proverbial cat among the pigeons. Other than the media, science fiction is replete with such futuristic scenarios. Čapek’s iconic play in the 1920s, R.U.R — Rossum’s Universal Robots, which gave us the word ‘Robot’ ends with the death of the last human being and a world dominated by robots with feelings... Other iconic tales of robocalypse and dystopia are, HAL set in 2001, Blade Runner in 2019, I, Robot in 2035, Terminator set in 2029, while Wall-E is set 800 years in the future in... All of these provide examples of a futuristic human-robot society, and while nearly all of them are unsettling, all of them at the very least confirm a proliferation of AI and robots both in... It is interesting to note that in more academic concerns, Toda’s fungus eaters are tagged to a sell date of 2061.

Published in Journal of Experimental & Theoretical Artificial Intelligence, 2021 The concept of technological singularity is not new. The term was coined back in 1993 when Vernor Vinge presented the underlying idea of creating intelligence (Vinge, 1993). Technological Singularity may be defined as a situation in which it is believed that artificial intelligence would be capable of self-improvement or building smarter and more powerful machines than itself to ultimately surpass human... The concept primarily refers to a situation where ordinary human intelligence is enhanced or overtaken by artificial intelligence. Vinge describes there several ways to attain technological singularity Computers that are aware and superhumanly intelligent may be developed.Large computer networks (and their associated users, both humans and programs) may wake up as superhumanly...

Matt Holman, Guy Walker, Terry Lansdown, Adam Hulme The technological singularity, often simply called the singularity,[1] is a hypothetical event in which technological growth accelerates beyond human control, producing unpredictable changes in human civilization.[2][3] According to the most popular version of the... J. Good's intelligence explosion model of 1965, an upgradable intelligent agent could eventually enter a positive feedback loop of successive self-improvement cycles; more intelligent generations would appear more and more rapidly, causing an explosive increase... Some scientists, including Stephen Hawking, have expressed concern that artificial superintelligence could result in human extinction.[5][6] The consequences of a technological singularity and its potential benefit or harm to the human race have been... Prominent technologists and academics dispute the plausibility of a technological singularity and associated artificial intelligence "explosion", including Paul Allen,[7] Jeff Hawkins,[8] John Holland, Jaron Lanier, Steven Pinker,[8] Theodore Modis,[9] Gordon Moore,[8] and Roger Penrose.[10]...

Stuart J. Russell and Peter Norvig observe that in the history of technology, improvement in a particular area tends to follow an S curve: it begins with accelerating improvement, then levels off without continuing upward into... Alan Turing, often regarded as the father of modern computer science, laid a crucial foundation for contemporary discourse on the technological singularity. His pivotal 1950 paper "Computing Machinery and Intelligence" argued that a machine could, in theory, exhibit intelligent behavior equivalent to or indistinguishable from that of a human.[12] However, machines capable of performing at or... The Hungarian–American mathematician John von Neumann (1903–1957) is the first known person to discuss a coming "singularity" in technological progress.[14][15] Stanislaw Ulam reported in 1958 that an earlier discussion with von Neumann "centered on... Part of the book series: The Frontiers Collection ((FRONTCOLL))

This chapter introduces the term technological singularity, and analyses the varying and ambiguous ways it is used. It looks at the difficulty in predicting what would happen with “human comparable” artificial intelligences (AI), and what can nevertheless be said about such an occurence. The track record for predictions in AI by experts is a poor one, for solid theoretical reasons backed up with empirical prediction evidence. However, there are strong arguments implying that such an AI could become extremely powerful, though one or another of various plausible routes—not necessarily requiring the AI to be “superintelligent”, either. Then the chapter demonstrates that such an AI has a non-insignificant chance of doing dangerous for humanity as a whole. The difficulty in reasoning about this subject and the uncertainty surrounding it cannot be seen as excuses to do nothing—indeed a position that AI would be safe is a position of great overconfidence, far...

This is a preview of subscription content, log in via an institution to check access. Tax calculation will be finalised at checkout Armstrong, Stuart. Smarter than us: The rise of machine intelligence. MIRI, 2014. Published in Dževad Belkić, Karen Belkić, Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications, 2010

General rational functions R(u) are defined as quotients R(u) = f(u)/g(u) of two other functions f(u) and g(u) of a complex-valued independent variable u. They play by far the most prominent role in the mathematical theory of approximations. Importantly, it is this latter practical theory by which mathematics make their most significant and useful bridges towards other disciplines across different research fields. The key mathematical features that determine any function used in mathematical modeling across inter-disciplinary applications are the possible singularities (poles, cuts, branch points) and zeros. The former and the latter are tightly connected, respectively, with the potential existence of maximae (peaks) and minimae (valleys between adjacent peaks) of the given function. The principal reason for the central role of rational functions of the general type R(u) = f(u)/g(u) in the theory of approximations is in their mathematical form by which the numerator g(u) can provide...

Poles and zeros can fully describe any system. Published in Naomi Jacobs, Rachel Cooper, Living in Digital Worlds, 2018 The ‘technological singularity’ is an idea that was initially discussed in the 1950s. First coined by Jon von Neumann, it was described by Stanislaw Ulam as a point: ‘beyond which human affairs, as we know them, could not continue’ (Vinge, 1993). The name comes from a concept in physics, singularities being an infinitely compact point in space in which the laws of the universe cease to function, and the true nature of which cannot be... The technological singularity therefore, is a point in time where models of the future fail to give reliable answers.

The idea of the technological singularity was popularised by Verner Vinge in the 1990s, and by Ray Kurzweil (2005) who linked it specifically to the idea of the emergence of superintelligence. This could be achieved by the creation of a ‘strong’ artificial intelligence smarter than humans in a range of different domains (rather than one specific task) possibly with the ability to make improvements to... General intelligence, which would be the necessary first step for this, is a goal which artificial intelligence researchers have sought for many years, but so far with limited success. An AI research boom in the 1970s led to predictions by leaders in the field that the development of general intelligence on a par with humans was imminent, however it became apparent soon afterwards... Current AI research is seeing a new resurgence based on ‘deep learning’ and neural networks, and some think it is more likely to be successful, while others predict a similar disappointment to the previous... However, if an artificial intelligence model is successful, and achieves ‘human’ aspects such as creativity and innovation along with rapid processing speeds and vast data processing abilities, we may see it outstrip us as...

Our key machinery is a Carleman type estimate. There are two kinds of Carleman estimates according to choices of the weight functions: Weight function without singularities in and : Weight function with singularities in t: where , , on

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