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allen ai projects

© The Allen Institute for Artificial Intelligence. [6] Its launch was covered in Xconomy,[3] and GeekWire. Main Tel: (206) 543-1695 Building on AI2's expertise in NLP, computer vision, and engineering, we seek to deliver a tangible positive impact on fairness. Research Projects. Our mission is to contribute to humanity through high-impact AI research and engineering. After the AI was trained with a database of over 25,000 videos from the U.S. television show The Flintstones, it was able to create novel short video clips from natural language captions that resembled the cartoon. See AI2D Dataset below. Building machine common sense at the Allen Institute for AI. [2][3][4], In 2018, the institute partnered with the University of Washington to explore deep learning artificial intelligence designed to predict how dogs would respond to stimulus. Is The Real Way to Let Your Pooch Live Forever", "Researchers Trained an AI to Create Flintstones Cartoons", "Paul Allen's Artificial Intelligence Institute launches startup incubator with top minds in AI - GeekWire", "From Star Trek to Siri: How the Machine-Reading Revolution will dictate the future", Existential risk from artificial general intelligence, Center for Human-Compatible Artificial Intelligence, Center for Security and Emerging Technology, Institute for Ethics and Emerging Technologies, Leverhulme Centre for the Future of Intelligence, Artificial intelligence as a global catastrophic risk, Controversies and dangers of artificial general intelligence, Superintelligence: Paths, Dangers, Strategies, Allen Institute for Artificial Intelligence, https://en.wikipedia.org/w/index.php?title=Allen_Institute_for_AI&oldid=981182152, 2014 establishments in Washington (state), Articles lacking reliable references from September 2020, Creative Commons Attribution-ShareAlike License, This page was last edited on 30 September 2020, at 19:40. ScispaCy is an open-source project developed by the Allen Institute for Artificial Intelligence (AI2). At AI2, we are committed to fostering a diverse, inclusive environment within our institute, and to encourage these values in the wider research community. AI2D is a dataset of illustrative diagrams for research on diagram understanding and associated question answering. Mosaic investigates and develops the commonsense capabilities of machines as part of the Allen Institute for AI. SWAG (Situations With Adversarial Generations) is a large-scale dataset for the task of grounded commonsense inference, unifying natural language inference and physically grounded reasoning. Our research integrates multiple AI technologies, including: Natural language processing. AI2 is the Zu den älteren Versionen gehören Project 2016, Project 2013 , Project 2010 und Project 2007. The Perceptual Reasoning and Interaction Research (PRIOR) team seeks to create AI systems that can see, explore, learn, and reason about the world. Visually explore connections between concepts in CORD-19 and discover what groups are working on what research directions. © The Allen Institute for Artificial Intelligence. Projects. Project 2019 ist mit Windows 10 kompatibel. It provides first-class support for a growing collection of embodied environments, tasks and algorithms, provides reproductions of state-of-the-art models and includes extensive documentation, tutorials, start-up code, and pre-trained models. The Aristo Project aims to build systems that demonstrate a deep understanding of the world, integrating technologies for reading, learning, reasoning, and explanation. All rights Reserved. Diagram Understanding is a project that aims to parse diagrams and answer the corresponding questions. Bill & Melinda Gates Center, Box 352355

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