AI & Robotics

In a study published this week on the preprint server Arxiv.org, Microsoft and Arizona State University researchers propose an AI framework — Multiple sources of Weak Social Supervision (MWSS) — that leverages engagement and social media signals to detect fake news. They say that after training and testing the model on a real-world data set, it outperforms a number of state-of-the-art…

Carnegie Mellon, Google, and Stanford researchers write in a paper that they’ve developed a framework for using weak supervision — a form of AI training where the model learns from large amounts of limited, imprecise, or noisy data — that enables robots to efficiently explore a challenging environment. By learning to reach only areas of its surroundings relevant to tasks as opposed to every…

During the “COVID-19 and AI” livestream event run by the Stanford Institute of Human-Centered AI (HAI), Stanford professor and HAI codirector Dr. Fei-Fei Li presented a concept for an AI-powered in-home system that could track a resident’s health, including for signs of COVID-19, while ensuring privacy. It’s designed to keep seniors, many of whom live alone, connected to family or medical…

IBM today announced the launch of services intended to furnish researchers with resources to fight the novel coronavirus. The company made molecules identified by AI as therapeutic candidates available under an open license, and it introduced a free version of its Functional Genomics Platform to support genome features discovery. Additionally, it provided free access to over 1,000 pieces of…