Source: analyticsinsight.net Leveraging Artificial Intelligence to Create Impressive Products for Disabled People Technology is an excellent way to enhance the lives of people with disabilities. With the advent of artificial intelligence, several avenues of research have opened up that focus on enhancing the lives of people with impairment. For instance, Facebook has designed an AI tool Read More

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Source: infoq.com Facebook AI Research (FAIR) has announced the release of Opacus, a high-speed library for applying differential privacy techniques when training deep-learning models using the PyTorch framework. Opacus can achieve an order-of-magnitude speedup compared to other privacy libraries. The library was described on the FAIR blog. Opacus provides an API and implementation of a PrivacyEngine, which Read More

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Source: marktechpost.com Robotics has always been a fascinating subject, but most people are reluctant to experiment in robotics imagining the complexity of hardware and knowledge of different software associated with it. Facebook AI researcher’s(FAIR) latest research will motivate such people to start working on robots. PyRobot is a framework that helps AI researches and students Read More

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Source: digitalinformationworld.com Have you ever thought about an AI-based machine playing poker with you? If your imagination has gone that wild then Facebook is all set to make it a reality with its new general AI framework called Recursive Belief-based Learning (ReBeL) that can even perform better than humans in poker and with little domain knowledge as compared to Read More

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Source: top10pokersites.net A team of researchers from Facebook have recently developed a poker-playing AI that is capable of beating human players in heads-up, no-limit Texas hold’em poker. Called Recursive Belief-based Learning (ReBel), the general AI framework learns poker faster than any other previous poker-specific AI, using less domain knowledge, and researchers are claiming this with a supporting experiment. The Read More

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Source: hackernoon.com During the last decade, social networking sites/apps have become the most important channels of communication.Social networks such as Facebook, Twitter, and Instagram contain a considerable amount of informative data not only about social matters but also about business and marketing. Of course, if you want to take advantage of this ever-changing space to Read More

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Source: venturebeat.com In a technical paper published on Arxiv.org this week, researchers at Facebook and Arizona State University lifted the hood on AutoScale, which shares a name with Facebook’s energy-sensitive load balancer. AutoScale, which could theoretically be used by any company were the code to be made publicly available, leverages AI to enable energy-efficient inference on smartphones and other edge Read More

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Source: venturebeat.com In a recent paper published on the preprint server Arxiv.org, researchers at Carnegie Mellon, Facebook, and the University of Illinois Urbana-Champaign propose Active Neural Simultaneous Localization and Mapping (Active Neural SLAM), a hierarchical approach for teaching AI agents to explore environments. They say that it leverages the strength of both classical and AI-based path- and Read More

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Source: iotforall.com A paper published by researchers at Carnegie Mellon University, San Francisco research firm OpenAI, Facebook AI Research, the University of California at Berkeley, and Shanghai Jiao Tong University describes a paradigm that scales up multi-agent reinforcement learning, where AI models learn by having agents interact within an environment such that the agent population increases in Read More

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Source: venturebeat.com A preprint paper coauthored by scientists at Facebook AI Research describes Rewarding Impact-Driven Exploration (RIDE), an intrinsic reward method that encourages AI-driven agents to take actions in an environment. The researchers say that it outperforms state-of-the-art methods on hard exploration tasks in procedurally generated worlds, a sign it might be a candidate for devices like robot Read More

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Source: theregister.co.uk An AI startup is suing Facebook and one of its employees for allegedly stealing proprietary software that allows machine learning workloads to run faster on standard processors, eliminating the need for more expensive custom hardware. Neural Magic, founded in 2017 by Nir Shavit and Alex Matveev, describes itself as a “no-hardware AI” company. Read More

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Source: infoq.com PyTorch, Facebook’s open-source deep-learning framework, announced the release of version 1.4. This release, which will be the last version to support Python 2, includes improvements to distributed training and mobile inference and introduces support for Java. This release follows the recent announcements and presentations at the 2019 Conference on Neural Information Processing Systems (NeurIPS) in December. For training large models, Read More

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Source: venturebeat.com Facebook AI Research (FAIR) today unveiled PyTorch3D, a library that enables researchers and developers to combine deep learning and 3D objects. As part of the release, Facebook is also open-sourcing Mesh R-CNN, a model introduced last year capable of rendering 3D objects from 2D shapes in images of interior spaces. PyTorch3D was inspired by Mesh Read More

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Source: thehill.com The Federal Trade Commission (FTC) issued a unanimous ruling against Cambridge Analytica on Friday, saying the company engaged in “deceptive practices” by harvesting personal data from millions of Facebook users leading up to the 2016 election. In its official opinion, approved by FTC commissioners in a 5-0 vote, the agency determined that Cambridge Analytica Read More

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Source: mic.com It may seem like artificial intelligence is quickly seeping into just about everything. While that might raise concerns about a Skynet-style takeover, the quiet secret about AI is that it isn’t taking over. In fact, some experts believe that AI in its current form is starting to slow down, reaching its maximum capacity Read More

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Source: infoq.com Facebook AI Research (FAIR) has released Detectron2, a PyTorch-based computer vision library that brings a series of new research and production capabilities to the popular framework. Since its release in 2018, the original Detectron object detection platform has become one of FAIR’s most widely adopted open-source projects. While the first Detectron was written in Caffe2, Detectron2 represents Read More

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Source: news18.com Designers of machine translation tools still mostly rely on dictionaries to make a foreign language understandable. But now there is a new way: numbers. Facebook researchers say rendering words into figures and exploiting mathematical similarities between languages is a promising avenue, even if a universal communicator a la Star Trek remains a distant Read More

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Source: inc42.com To encourage research on artificial intelligence (AI) ethics, Silicon Valley-headquartered Facebook said that it has now selected six projects from India that will focus on three key areas – governance, cultural diversity and operationalising ethics. The company announced Ethics in AI research awards in June with a regional focus on India. It had said Read More

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Source- adweek.com Facebook and the Technical University of Munich are joining forces on the creation of an independent ethics research center for artificial intelligence. The social network will provide $7.5 million in funding over five years for the Institute for Ethics in Artificial Intelligence, with director of applied machine learning Joaquin Quiñonero Candela saying in a Newsroom Read More

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Source- fortune.com Google and Facebook are teaming up to make each company’s artificial intelligence technologies work better together. The two companies said Tuesday that an unspecified number of engineers are collaborating to make Facebook’s open source machine learning PyTorch framework work with Google’s custom computer chips for machine learning, dubbed Tensor Processing Units, or TPU. The collaboration marks Read More

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Source – hindustantimes.com Facebook is turning to machine-learning technologies to amplify the impact of human fact-checkers reviewing hoax news articles, as part of the company’s efforts to combat the spread of misinformation on its platform. The social network announced Thursday it was starting to use automated systems to identify duplicates of fake news articles previously flagged by Read More

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Source – cnbc.com Despite Facebook’s aggressive stance on improving identification and removal of inappropriate content, the company admitted its artificial intelligence has a hard time finding hate speech. In a blog post, the company said Tuesday it removed 2.5 million pieces of hate speech content during the first quarter of the year. However, only 38 percent of the problematic items Read More

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Artificial Intelligence