AI & RoboticsNews

How Microsoft Teams will use AI to filter out typing, barking, and other noise from video calls

Last month, Microsoft announced that Teams, its competitor to Slack, Facebook’s Workplace, and Google’s Hangouts Chat, had passed 44 million daily active users. The milestone overshadowed its unveiling of a few new features coming “later this year.” Most were straightforward: a hand-raising feature to indicate you have something to say, offline and low-bandwidth support to read chat…
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AI & RoboticsNews

Tenstorrent reveals Grayskull, an all-in-one system that accelerates AI model training

Tenstorrent, an AI and machine learning hardware startup based in Toronto, Canada, today emerged from stealth with over $34 million in funding and an all-in-one computer system dubbed Grayskull. Cofounder and CEO Ljubisa Bajic, a former Nvidia senior architect who previously served as director of integrated circuit design at AMD, claims that Grayskull’s architecture eliminates unnecessary…
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AI & RoboticsNews

Microsoft claims its AI framework spots fake news better than state-of-the-art baselines

In a study published this week on the preprint server Arxiv.org, Microsoft and Arizona State University researchers propose an AI framework — Multiple sources of Weak Social Supervision (MWSS) — that leverages engagement and social media signals to detect fake news. They say that after training and testing the model on a real-world data set, it outperforms a number of state-of-the-art…
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AI & RoboticsNews

Google’s AI learns how to navigate environments from limited data

Carnegie Mellon, Google, and Stanford researchers write in a paper that they’ve developed a framework for using weak supervision — a form of AI training where the model learns from large amounts of limited, imprecise, or noisy data — that enables robots to efficiently explore a challenging environment. By learning to reach only areas of its surroundings relevant to tasks as opposed to every…
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