In a paper scheduled to be presented next week during the annual Conference on Computer Vision and Pattern Recognition (CVPR), scientists at IBM, Tel-Aviv University, and Technion describe a novel AI model design — Label-Set Operations (LaSO ) networks — designed to combine pairs of labeled image examples (e.g., a pic of a dog annotated “dog” and a sheep … [Read more...] about IBM’s AI creates new labeled image sets using semantic content
Press Releases
Huawei delays its first 5G phone Mate X until September
Huawei’s first 5G phone, the $2,600 foldable tablet-phone hybrid Mate X, will miss its originally expected June release date in favor of a revised September release. The troubled Chinese smartphone maker told CNBC that the delay is based on the need for “extra” tests following the highly publicized failures of Samsung’s similar Galaxy Fold, but suggested … [Read more...] about Huawei delays its first 5G phone Mate X until September
Florida establishes a legal framework for self-driving vehicles
It’s official: Florida state law no longer mandates that companies testing driverless cars on public roads retain a human safety driver behind the wheel. On Thursday, Florida governor Ron DeSantis signed into law a bill that establishes a legal framework for autonomous cars — one that places the onus on companies to ensure their technology stacks aren’t unduly … [Read more...] about Florida establishes a legal framework for self-driving vehicles
This Dota 2 AI predicts player death within a 5-second window
If there’s one insight that might be gleaned from continuing AI research, it’s that many events once assumed unknowable are, in fact, predictable with relatively high accuracy. Case in point? A paper (“Time to Die: Death Prediction in Dota 2 using Deep Learning“) published by researchers at the University of York describes a system that can reliably … [Read more...] about This Dota 2 AI predicts player death within a 5-second window
AI improves Alexa’s error rate with challenging training sets
Machine learning algorithms at the core of voice assistants learn to make predictions from libraries of labeled samples. For instance, Amazon’s Alexa is regularly fed text snippets like “Play the Prince song 1999,” where “1999” and “Prince” are mapped to the categories “SongName” and “ArtistName,” respectively. … [Read more...] about AI improves Alexa’s error rate with challenging training sets