AI & RoboticsNews

Facebook’s AutoScale decides if AI inference runs on your phone or in the cloud

In a technical paper published on Arxiv.org this week, researchers at Facebook and Arizona State University lifted the hood on AutoScale, which shares a name with Facebook’s energy-sensitive load balancer. AutoScale, which could theoretically be used by any company were the code to be made publicly available, leverages AI to enable energy-efficient inference on smartphones and other edge…
Read more
AI & RoboticsNews

Facebook’s AI ‘learns how to learn’ to transport payloads using a drone

In a recent paper, Facebook and University of California, Berkely researchers propose an approach to payload-carrying drone flight planning that “learns how to learn” models of environmental dynamics. Results from experiments suggest the work could inform the development of future robots  — perhaps in warehouses or other industrial settings — that physically interact with and adapt to the…
Read more
AI & RoboticsNews

Runa Capital raises $157 million to back AI and deep tech startups

Runa Capital has closed its third investment fund with $157 million to back startups in deep tech areas such as artificial intelligence and quantum computing. The firm said Runa Capital Fund III surpassed its target of $135 million. The new capital will allow the company to continue its strategy of making investments that range between $1 million and $10 million in early-stage companies. In…
Read more
AI & RoboticsNews

Facebook’s AI detects gender bias in text

In a technical paper published this week, Facebook researchers describe a framework that decomposes gender bias in text along several dimensions, which they used to annotate data sets and evaluate gender bias classifiers. If the experimental results are any indication, the…
AI & RoboticsNews

Health care at ICLR: AI tackles poor data, low resources, and black boxes

Mihaela van der Schaar, a Turing Fellow and professor of ML, AI, and health at the University of Cambridge and UCLA, believes that when it comes to applying AI to health care, we need a new way to think about the “complex class of problems” it presents. “We need new problem formulations. And there are many ways to conceive of a problem in medicine, and there are many ways to formalize the…
Read more