May 24, 2023

The Batch - AI News & Insights: t’s time to move beyond the stereotype that machine learning systems need a lot of data. While having more data is helpful, large pretrained models make it practical to build viable systems using a very small labeled training set...

It’s time to move beyond the stereotype that machine learning systems need a lot of data. While having more data is helpful, large pretrained models make it practical to build viable systems using a very small labeled training set — perhaps just a handful of examples specific to your application.

TinyML shows promise for bringing deep learning to applications where electrical power is scarce, processing in the cloud is impractical, and/or data privacy is paramount.

Text-to-image generators are visualizing the next wave of architectural innovation. Patrick Schumacher, principal architect at Zaha Hadid Architects, explained how the company uses generative AI to come up with ideas. He made the remarks at an industry roundtable called AI and the Future of Design.

One of the world’s largest investment banks built a large language model to map cryptic government statements to future government actions. JPMorgan Chase trained a model based on ChatGPT to score statements by a United States financial regulator according to...

A new regulatory body created by the European Union promises to peer inside the black boxes that drive social media recommendations. The European Centre for Algorithmic Transparency (ECAT) will study the algorithms that identify, categorize...