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Murray Shanahan
Murray Patrick Shanahan is a professor of Cognitive Robotics at Imperial College London, in the Department of Computing, and a senior scientist at DeepMind. He researches artificial intelligence, robotics, and cognitive science. Education Shanahan was educated at Imperial College London and completed his PhD at the University of Cambridge in 1987 supervised by William F. Clocksin. Career and research At Imperial College, in the Department of Computing, Shanahan was a postdoc from 1987 to 1991, an advanced research fellow until 1995. At Queen Mary & Westfield College, he was a senior research fellow from 1995 to 1998. Shanahan joined the Department of Electrical Engineering at Imperial, and then (in 2005) the Department of Computing, where he was promoted from Reader to Professor in 2006. Shanahan was a scientific advisor for Alex Garland's 2014 film '' Ex Machina''. Garland credited Shanahan with correcting an error in Garland's initial scripts regarding the Turing test. Shanaha ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial Intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The ''Oxford English Dictionary'' of Oxford University Press defines artificial intelligence as: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Transfer Learning
Transfer learning (TL) is a research problem in machine learning (ML) that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while learning to recognize cars could apply when trying to recognize trucks. This area of research bears some relation to the long history of psychological literature on transfer of learning, although practical ties between the two fields are limited. From the practical standpoint, reusing or transferring information from previously learned tasks for the learning of new tasks has the potential to significantly improve the sample efficiency of a reinforcement learning agent. History In 1976, Stevo Bozinovski and Ante Fulgosi published a paper explicitly addressing transfer learning in neural networks training. The paper gives a mathematical and geometrical model of transfer learning. In 1981, a report was given on the application of transfer learning in training ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Living People
Related categories * :Year of birth missing (living people) / :Year of birth unknown * :Date of birth missing (living people) / :Date of birth unknown * :Place of birth missing (living people) / :Place of birth unknown * :Year of death missing / :Year of death unknown * :Date of death missing / :Date of death unknown * :Place of death missing / :Place of death unknown * :Missing middle or first names See also * :Dead people * :Template:L, which generates this category or death years, and birth year and sort keys. : {{DEFAULTSORT:Living people 21st-century people People by status ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Existential Risk From Artificial General Intelligence
Existential risk from artificial general intelligence is the hypothesis that substantial progress in artificial general intelligence (AGI) could result in human extinction or some other unrecoverable global catastrophe. It is argued that the human species currently dominates other species because the human brain has some distinctive capabilities that other animals lack. If AI surpasses humanity in general intelligence and becomes " superintelligent", then it could become difficult or impossible for humans to control. Just as the fate of the mountain gorilla depends on human goodwill, so might the fate of humanity depend on the actions of a future machine superintelligence. The chance of this type of scenario is widely debated, and hinges in part on differing scenarios for future progress in computer science. Once the exclusive domain of science fiction, concerns about superintelligence started to become mainstream in the 2010s, and were popularized by public figures such as Step ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
AI Takeover
An AI takeover is a hypothetical scenario in which an artificial intelligence (AI) becomes the dominant form of intelligence on Earth, as computer programs or robots effectively take the control of the planet away from the human species. Possible scenarios include replacement of the entire human workforce, takeover by a superintelligent AI, and the popular notion of a robot uprising. Some public figures, such as Stephen Hawking and Elon Musk, have advocated research into precautionary measures to ensure future superintelligent machines remain under human control. Types Automation of the economy The traditional consensus among economists has been that technological progress does not cause long-term unemployment. However, recent innovation in the fields of robotics and artificial intelligence has raised worries that human labor will become obsolete, leaving people in various sectors without jobs to earn a living, leading to an economic crisis. Many small and medium size busi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Automated Vehicles
Vehicular automation involves the use of mechatronics, artificial intelligence, and multi-agent systems to assist the operator of a vehicle (car, aircraft, watercraft, or otherwise).Hu, J.; Bhowmick, P.; Lanzon, A.,Group Coordinated Control of Networked Mobile Robots with Applications to Object Transportation IEEE Transactions on Vehicular Technology, 2021.Hu, J.; Bhowmick, P.; Jang, I.; Arvin, F.; Lanzon, A.,A Decentralized Cluster Formation Containment Framework for Multirobot Systems IEEE Transactions on Robotics, 2021. These features and the vehicles employing them may be labeled as ''intelligent'' or ''smart''. A vehicle using automation for difficult tasks, especially navigation, to ease but not entirely replace human input, may be referred to as ''semi-autonomous'', whereas a vehicle relying solely on automation is called robotic or autonomous. Both of these types are instantiated in today's various self-driving cars, unmanned surface vehicles, autonomous trains, advan ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial General Intelligence
Artificial general intelligence (AGI) is the ability of an intelligent agent to understand or learn any intellectual task that a human being can. It is a primary goal of some artificial intelligence research and a common topic in science fiction and futures studies. AGI is also called strong AI,: Kurzweil describes strong AI as "machine intelligence with the full range of human intelligence." full AI, or general intelligent action, although some academic sources reserve the term "strong AI" for computer programs that experience sentience or consciousness. Strong AI contrasts with ''weak AI'' (or ''narrow AI''), which is not intended to have general cognitive abilities; rather, weak AI is any program that is designed to solve exactly one problem. (Academic sources reserve "weak AI" for programs that do not experience consciousness or do not have a mind in the same sense people do.) A 2020 survey identified 72 active AGI R&D projects spread across 37 countries. Characteristics ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Commonsense Reasoning
In artificial intelligence (AI), commonsense reasoning is a human-like ability to make presumptions about the type and essence of ordinary situations humans encounter every day. These assumptions include judgments about the nature of physical objects, taxonomic properties, and peoples' intentions. A device that exhibits commonsense reasoning might be capable of drawing conclusions that are similar to humans' folk psychology (humans' innate ability to reason about people's behavior and intentions) and naive physics (humans' natural understanding of the physical world). Definitions and characterizations Some definitions and characterizations of common sense from different authors include: * "Commonsense knowledge includes the basic facts about events (including actions) and their effects, facts about knowledge and how it is obtained, facts about beliefs and desires. It also includes the basic facts about material objects and their properties." * "Commonsense knowledge differs from e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
LA Review Of Books
The ''Los Angeles Review of Books'' (''LARB'' is a literary review magazine covering the national and international book scenes. A preview version launched on Tumblr in April 2011, and the official website followed one year later in April 2012. A print edition premiered in May 2013. Founded by Tom Lutz, Chair of the Creative Writing Department at the University of California, Riverside, the ''Review'' seeks to redress the decline in Sunday book supplements by creating an online “encyclopedia of contemporary literary discussion.” The ''LARB'' features reviews of new fiction, poetry, and nonfiction; original reviews of classic texts; essays on contemporary art, politics, and culture; and literary news from abroad, including Mexico City, London, and St. Petersburg. The site also proposes looking seriously at detective fiction, thrillers, comics, graphic novels, and other writing “often dismissed as genre fiction,” and printing reviews of books published by university press ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Library Journal
''Library Journal'' is an American trade publication for librarians. It was founded in 1876 by Melvil Dewey. It reports news about the library world, emphasizing public libraries, and offers feature articles about aspects of professional practice. It also reviews library-related materials and equipment. Each year since 2008, the Journal has assessed public libraries and awarded stars in their Star Libraries program. Its "Library Journal Book Review" does pre-publication reviews of several hundred popular and academic books each month. ''Library Journal'' has the highest circulation of any librarianship journal, according to Ulrich's—approximately 100,000. ''Library Journal's'' original publisher was Frederick Leypoldt, whose company became R. R. Bowker. Reed International (later merged into Reed Elsevier) purchased Bowker in 1985; they published ''Library Journal'' until 2010, when it was sold to Media Source Inc., owner of the Junior Library Guild and ''The Horn Book Ma ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Superintelligence
A superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. "Superintelligence" may also refer to a property of problem-solving systems (e.g., superintelligent language translators or engineering assistants) whether or not these high-level intellectual competencies are embodied in agents that act in the world. A superintelligence may or may not be created by an intelligence explosion and associated with a technological singularity. University of Oxford philosopher Nick Bostrom defines ''superintelligence'' as "any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest". The program Fritz falls short of superintelligence—even though it is much better than humans at chess—because Fritz cannot outperform humans in other tasks. Following Hutter and Legg, Bostrom treats superintelligence as general dominance at goal-oriented behavior, leaving open whether a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
