AI & RoboticsNews

Microsoft using ‘Game of Drones’ AI racing challenge to improve trustable autonomy systems

A series of new features appear to be on the way for Microsoft’s AirSim, a robotics and AI simulation platform. The Unreal Engine-based simulator will be adapted to better suit Game of Drones, which pits quadcopter drone racing AI systems against each other in an AirSim simulation. Game of Drones is in its first year and today Microsoft said it plans to keep the competition open after a winner…
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AI & RoboticsNews

Adyen CEO on AI for payments: ‘I was surprised how effective it was’

Adyen has turned its payment processing business into one of Europe’s biggest entrepreneurial success stories. Now it’s quietly deploying artificial intelligence to keep its remarkable growth streak going. The Amsterdam-based company’s philosophy of building tools from within rather than through acquisitions has been crucial to its rise, from its founding in 2006 to its 2018 IPO. Its…
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AI & RoboticsNews

Researchers develop AI that reads lips from video footage

AI and machine learning algorithms capable of reading lips from videos aren’t anything out of the ordinary, in truth. Back in 2016, researchers from Google and the University of Oxford detailed a system that could annotate video footage with 46.8% accuracy, outperforming a…
AI & RoboticsNews

Augtera raises $4 million for AI-driven network management

Augtera today announced that it raised $4 million for its operation that takes data from datacenter networks to create AI systems for management and optimization. The money will be used to grow Augtera’s engineering and research and development teams and accelerate product adoption. Augtera uses network domain knowledge and semantics, together with data from a variety of sources, to train its…
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AI & RoboticsNews

Google details AI that classifies chest X-rays with human-level accuracy

Analyzing chest X-ray images with machine learning algorithms is easier said than done. That’s because typically, the clinical labels required to train those algorithms are obtained with rule-based natural language processing or human annotation, both of which tend to introduce inconsistencies and errors. Additionally, it’s challenging to assemble data sets that represent an adequately diverse…
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