Nov 11, 2020

Beating human-level performance (HLP) has been a goal of academic research in machine learning from speech recognition to X-ray diagnosis. When your model outperforms humans, you can argue that you’ve reached a significant milestone and publish a paper!

Major polling organizations took a drubbing in the press after they failed to predict the outcome in last week’s U.S. elections. At least one AI-powered model fared much better.

OpenAI’s Generative Pre-Trained Transformer (GPT) architecture has created coherent essays, images, and code. Now it generates mathematical proofs as well.

Who needs cows when you can make milk from scratch? NotMilk, a dairy-free milk substitute that was designed with help from a deep learning model, made its debut in American grocery stores.

In Argentina, a municipal face recognition system could misidentify children as suspected lawbreakers. Authorities in Buenos Aires are scanning subway riders’ faces to find offenders in a database of suspects but the system mixes criminal records with personal information about minors.

Everyday cameras and computer vision algorithms are digitizing construction projects to keep builders on schedule. Based in Tel Aviv, Buildots maps output from building-site cameras onto simulations of the work n progress, enabling construction managers to monitor progress remotely.

Beating human-level performance (HLP) has been a goal of academic research in machine learning from speech recognition to X-ray diagnosis. When your model outperforms humans, you can argue that you’ve reached a significant milestone and publish a paper!