AI & RoboticsNews

Uber claims its AI enables driverless cars to predict traffic movement with high accuracy

In a paper published on the preprint server Arxiv.org this week, researchers at Uber’s Advanced Technologies Group (ATG) propose an AI technique to improve autonomous vehicles’ traffic movement predictions. It’s directly applicable to the driverless technologies that Uber itself is developing, which must be able to detect, track, and anticipate surrounding cars’ trajectories in order to…
Read more
AI & RoboticsNews

Google releases benchmark to spur development of multilingual AI models

Google today released a natural language processing systems benchmark — Xtreme — with nine tasks that require reasoning about semantics across 40 languages and 12 language families. Researchers at the tech giant assert it can evaluate whether AI models capture knowledge shared across languages, which can be useful for a growing number of natural language applications. The goal is to spur on…
Read more
AI & RoboticsNews

ProBeat: Microsoft Teams video calls and the ethics of invisible AI

Microsoft Teams is getting a bunch of new features this year. Robert Aichner, Microsoft Teams group program manager, recently told us how Microsoft is building the most interesting one: real-time noise suppression, which uses machine learning to filter out background noise during calls. Because the feature isn’t final, we also had a secondary discussion about the user experience. It’s one…
Read more
AI & RoboticsNews

AI training helps remote-controlled buggy negotiate rugged terrain

McGill University researchers say they’ve developed a technique to train a remote-controlled, offroad car to drive on terrain from aerial and first-person imagery. Their hybrid approach accounts for terrain roughness and obstacles using on-board sensors, enabling it to generalize to environments with vegetation, rocks, and sandy trails. The work is preliminary, but it might hold promise for…
Read more