AI & RoboticsNews

Google’s AI helps robots navigate around humans in offices

In a study published this week on the preprint server Arxiv.org, Google and University of California, Berkely researchers propose a framework that combines learning-based perception with model-based controls to enable wheeled robots to autonomously navigate around obstacles. They say it generalizes well to avoiding unseen buildings and humans in both simulation and real-world environments and that…
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AI & RoboticsNews

Fritz brings on-device AI to Android and iOS

Fritz AI, a startup providing an AI and machine learning development platform for Android and iOS, today announced that it has raised $5 million. CEO Dan Abdinoor says that the capital will accelerate Fritz’s expansion as it launches its product out of early access, which…
AI & RoboticsNews

Pinterest launches Today tab with curated topics, fights coronavirus misinformation with AI

In a bid to brighten the mood as the torrent of COVID-19 news continues unabated, Pinterest has announced the launch of Today in the U.S. and U.K., a new tab with curated topics and trending topic pins. While information from the World Health Organization and Centers for Disease Control about topics like handwashing is slated to feature prominently in the coming weeks, the Today tab will also show…
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AI & RoboticsNews

ePlane taps AI to match aerospace sellers with buyers

Aircraft parts and repair marketplace ePlane today announced that it has raised $9 million, the bulk of which it expects to spend on international expansion. Assuming all goes well, ePlane will further develop its aerospace industry sourcing and business intelligence market…
AI & RoboticsNews

Researchers propose paradigm that trains AI agents through evolution

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 size over time.
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AI & RoboticsNews

Google open-sources framework that reduces AI training costs by up to 80%

Google researchers recently published a paper describing a framework — SEED RL — that scales AI model training to thousands of machines. They say that it could facilitate training at millions of frames per second on a machine while reducing costs by up to 80%, potentially leveling the playing field for startups that couldn’t previously compete with large AI labs. Training sophisticated…
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