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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AI & RoboticsNews

5 AI policy questions our presidential candidates must address

Our 2020 presidential candidates will be questioned about their stance on artificial intelligence (AI) policy, especially with regard to the job displacement AI could cause in manufacturing, transportation, and other industries. An over-regulation of AI could hand technical superiority to countries like China and Russia, leading to a ripple effect on America’s GDP and even threatening national…
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AI & RoboticsNews

Diligent Robotics raises $10 million for nurse assistant robot Moxi

Diligent Robotics today announced the close of a $10 million Series A round to expand its fleet of nurse assistant robots for hospitals. Moxi is made to help reduce nurse workloads by doing things like collecting supplies, gathering soiled linens or delivering fresh ones, and comes to the market  at a time when there’s a nurses of shortages. Help can also mean less exposure to disease for…
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