AI & RoboticsNews

Google’s AI teaches robots how to move by watching dogs

Google researchers have developed an AI system that learns from the motions of animals to give robots greater agility, according to a preprint paper and blog post published this week. The coauthors believe their approach could bolster the development of robots that can complete tasks in the real world, for instance transporting materials between multilevel warehouses and fulfillment centers. The…
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AI & RoboticsNews

Amazon and SenseTime detail OmniSource, a framework that scrapes web videos to train AI

Researchers at AI startup SenseTime, Amazon, and the Chinese University of Hong Kong say they’ve developed a new framework for leveraging web data — OmniSource — that notches records in the video recognition domain. By overcoming barriers between data formats like images, short videos, and long untrimmed videos and adopting good practices like data balancing, it’s ostensibly able to…
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AI & RoboticsNews

Phantom AI raises $22 million to develop ADAS products

Phantom AI, a startup developing advanced driver-assistance systems (ADAS) for cars and trucks, today announced that it has raised $22 million. CEO Hyunggi Cho says it will enable the company to expand availability of its modular, software-based platform, which lets OEMs and…
AI & RoboticsNews

Concertio taps AI to optimize apps and servers in real time

AI-powered optimization software provider Concertio today announced that it has raised $4.2 million, which it says it will use to scale its platform that boosts app performance by tailoring x86 server settings. Customers won’t only benefit from faster, more stable apps and hardware as a result, says Concertio, but from lower infrastructure costs as well. Concertio’s Optimizer Runtime tool…
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AI & RoboticsNews

Microsoft’s Mahjong-winning AI could lead to sophisticated finance market prediction systems

Last August, Microsoft Research Asia detailed an AI system dubbed Super Phoenix (Suphx for short) that could defeat Mahjong players after learning from only 5,000 matches. A revised preprint paper out this week delves a bit deeper, revealing that Suphx — whose performance improved with additional training — is now rated above 99.99% of all ranked human players on Tenhou, a Japan-based global…
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