Allen Institute For AI
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Allen Institute For AI
The Allen Institute for AI (abbreviated AI2) is a research institute founded by late Microsoft co-founder Paul Allen. The institute seeks to achieve scientific breakthroughs by constructing AI systems with reasoning, learning, and reading capabilities. Oren Etzioni was appointed by Paul Allen in September 2013 to direct the research at the institute. AI2 has programs in the University of California, Irvine, and in Tel Aviv, Israel. Projects *Aristo: A flagship project of AI2, inspired by a similar project called Project Halo carried out by Seattle-based investment company Vulcan. The goal is to design an artificially intelligent system that can successfully read, learn, and reason from texts and ultimately demonstrate its knowledge by providing explainable question answering. The focus of the project is explained by the guiding philosophy that artificial intelligence is about having a mental model for how things operate and refining that mental model based on new knowledge. *PRI ...
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Allen Institute For Artificial Intelligence
The Allen Institute for AI (abbreviated AI2) is a research institute founded by late Microsoft co-founder Paul Allen. The institute seeks to achieve scientific breakthroughs by constructing AI systems with reasoning, learning, and reading capabilities. Oren Etzioni was appointed by Paul Allen in September 2013 to direct the research at the institute. AI2 has programs in the University of California, Irvine, and in Tel Aviv, Israel. Projects *Aristo: A flagship project of AI2, inspired by a similar project called Project Halo carried out by Seattle-based investment company Vulcan. The goal is to design an artificially intelligent system that can successfully read, learn, and reason from texts and ultimately demonstrate its knowledge by providing explainable question answering. The focus of the project is explained by the guiding philosophy that artificial intelligence is about having a mental model for how things operate and refining that mental model based on new knowledge. *PRI ...
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Academic Publications
Academic publishing is the subfield of publishing which distributes academic research and scholarship. Most academic work is published in academic journal articles, books or theses. The part of academic written output that is not formally published but merely printed up or posted on the Internet is often called "grey literature". Most scientific and scholarly journals, and many academic and scholarly books, though not all, are based on some form of peer review or editorial refereeing to qualify texts for publication. Peer review quality and selectivity standards vary greatly from journal to journal, publisher to publisher, and field to field. Most established academic disciplines have their own journals and other outlets for publication, although many academic journals are somewhat interdisciplinary, and publish work from several distinct fields or subfields. There is also a tendency for existing journals to divide into specialized sections as the field itself becomes more spec ...
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Machine Intelligence Research Institute
The Machine Intelligence Research Institute (MIRI), formerly the Singularity Institute for Artificial Intelligence (SIAI), is a non-profit research institute focused since 2005 on identifying and managing potential existential risks from artificial general intelligence. MIRI's work has focused on a friendly AI approach to system design and on predicting the rate of technology development. History In 2000, Eliezer Yudkowsky founded the Singularity Institute for Artificial Intelligence with funding from Brian and Sabine Atkins, with the purpose of accelerating the development of artificial intelligence (AI). However, Yudkowsky began to be concerned that AI systems developed in the future could become superintelligent and pose risks to humanity, and in 2005 the institute moved to Silicon Valley and began to focus on ways to identify and manage those risks, which were at the time largely ignored by scientists in the field. Starting in 2006, the Institute organized the Singularity ...
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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). ...
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Allen Institute For Cell Science
The Allen Institute for Cell Science is a research institute established by Paul Allen in Seattle, Washington on 8 December 2014. The institute is modelled in large part on the Allen Institute for Brain Science and received the same initial financial commitment from Allen— over five years. The two Institutes also share the same building. The focus of the institute will be "How does information encoded in our genes become living cells, and what goes wrong when a disease affects those cells?" All data generated and research tools developed by the institute will be made publicly available online. The inaugural executive director for the institute is Rick Horwitz, formerly of the University of Virginia. Among those serving on the institute's science advisory board is Joan Brugge, chairwoman of the Department of Cell Biology at Harvard Medical School Harvard Medical School (HMS) is the graduate medical school of Harvard University and is located in the Longwood Medical Area o ...
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Allen Institute For Brain Science
The Allen Institute for Brain Science is a division of the Allen Institute, based in Seattle, Washington, that focuses on bioscience research. Founded in 2003, it is dedicated to accelerating the understanding of how the human brain works. With the intent of catalyzing brain research in different areas, the Allen Institute provides free data and tools to scientists. Started with $100 million in seed money from Microsoft co-founder and philanthropist Paul Allen in 2003, the institute tackles projects at the leading edge of science—far-reaching projects at the intersection of biology and technology. The resulting data create free, publicly available resources that fuel discovery for countless researchers. Hongkui Zeng is the director of the institute.Allen Institute For ...
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The Flintstones
''The Flintstones'' is an American animated sitcom produced by Hanna-Barbera Productions. The series takes place in a romanticized Stone Age setting and follows the activities of the titular family, the Flintstones, and their next-door neighbors, the Rubbles. It was originally broadcast on ABC from September 30, 1960, to April 1, 1966, and was the first animated series to hold a prime-time slot on television. The show follows the lives of Fred and Wilma Flintstone and their pet dinosaur Dino, eventually seeing the addition of baby Pebbles. Barney and Betty Rubble are their neighbors and best friends. They adopt a super strong baby named Bamm-Bamm and acquire a pet hopparoo named Hoppy. Producers William Hanna and Joseph Barbera, who earned seven Academy Awards for ''Tom and Jerry'', and their staff faced a challenge in developing a thirty-minute animated program with one storyline that fit the parameters of family-based domestic situation comedy of the era. After consideri ...
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Deep Learning
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks, convolutional neural networks and Transformers have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, Climatology, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, artificial ...
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University Of Washington
The University of Washington (UW, simply Washington, or informally U-Dub) is a public research university in Seattle, Washington. Founded in 1861, Washington is one of the oldest universities on the West Coast; it was established in Seattle approximately a decade after the city's founding. The university has a 703 acre main campus located in the city's University District, as well as campuses in Tacoma and Bothell. Overall, UW encompasses over 500 buildings and over 20 million gross square footage of space, including one of the largest library systems in the world with more than 26 university libraries, art centers, museums, laboratories, lecture halls, and stadiums. The university offers degrees through 140 departments, and functions on a quarter system. Washington is the flagship institution of the six public universities in Washington state. It is known for its medical, engineering, and scientific research. Washington is a member of the Association of American Universiti ...
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Commonsense Knowledge (artificial Intelligence)
In artificial intelligence research, commonsense knowledge consists of facts about the everyday world, such as "Lemons are sour", that all humans are expected to know. It is currently an unsolved problem in Artificial General Intelligence. The first AI program to address common sense knowledge was Advice Taker in 1959 by John McCarthy. Commonsense knowledge can underpin a commonsense reasoning process, to attempt inferences such as "You might bake a cake because you want people to eat the cake." A natural language processing process can be attached to the commonsense knowledge base to allow the knowledge base to attempt to answer questions about the world.Liu, Hugo, and Push Singh. "ConceptNet—a practical commonsense reasoning tool-kit." BT technology journal 22.4 (2004): 211-226. Common sense knowledge also helps to solve problems in the face of incomplete information. Using widely held beliefs about everyday objects, or common sense knowledge, AI systems make common se ...
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Textual Entailment
Textual entailment (TE) in natural language processing is a directional relation between text fragments. The relation holds whenever the truth of one text fragment follows from another text. In the TE framework, the entailing and entailed texts are termed ''text'' (''t'') and ''hypothesis'' (''h''), respectively. Textual entailment is not the same as pure logical entailment – it has a more relaxed definition: "''t'' entails ''h''" (''t'' ⇒ ''h'') if, typically, a human reading ''t'' would infer that ''h'' is most likely true. (Alternatively: ''t'' ⇒ ''h'' if and only if, typically, a human reading ''t'' would be justified in inferring the proposition expressed by ''h'' from the proposition expressed by ''t''.) The relation is directional because even if "''t'' entails ''h''", the reverse "''h'' entails ''t''" is much less certain.
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Semantic Role Labeling
In natural language processing, semantic role labeling (also called shallow semantic parsing or slot-filling) is the process that assigns labels to words or phrases in a sentence that indicates their semantic role in the sentence, such as that of an agent, goal, or result. It serves to find the meaning of the sentence. To do this, it detects the arguments associated with the predicate or verb of a sentence and how they are classified into their specific roles. A common example is the sentence "Mary sold the book to John." The agent is "Mary," the predicate is "sold" (or rather, "to sell,") the theme is "the book," and the recipient is "John." Another example is how "the book belongs to me" would need two labels such as "possessed" and "possessor" and "the book was sold to John" would need two other labels such as theme and recipient, despite these two clauses being similar to "subject" and "object" functions. History In 1968, the first idea for semantic role labeling was proposed ...
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