Mar 24, 2021

A new system combines verbal descriptions and crude lines to visualize complex scenes. Google researchers led by Jing Yu Koh proposed Tag-Retrieve-Compose-Synthesize (TReCS), a system that generates photorealistic images by describing what they want to see while mousing around on a blank screen.

Earlier today, I spoke at a DeepLearning.AI event about MLOps, a field that aims to make building and deploying machine learning models more systematic. AI system development will...

Police are increasingly able to track motor vehicles throughout the U.S. using a network of AI-powered cameras — many owned by civilians. Flock, which sells automatic license plate readers is encouraging enforcers to use its network to monitor cars and trucks outside their jurisdiction.

What’s creepier than images from the sci-fi TV series Doctor Who? Images generated by a network designed to visualize what goes on in peoples’ brains while they watch Doctor Who.

A new website calls out AI research that may not lend itself to being reproduced. Papers Without Code maintains a directory of AI systems that researchers tried but failed to reproduce.

A language model is helping crisis-intervention volunteers practice their suicide-prevention skills. The Trevor Project, a nonprofit organization that operates a 24-hour hotline for LGBTQ youth, uses a “crisis contact simulator” to train its staff in how to talk with troubled teenagers.

Earlier today, I spoke at a DeepLearning.AI event about MLOps, a field that aims to make building and deploying machine learning models more systematic. AI system development will move faster if we can shift from being model-centric to being data-centric.