The finding most relevant to AI is that this only works when the network is deep enough. The researchers found that iterated ...

A new study uses deep linear networks to prove that language undergoes iterated learning to become structured and learnable.

Texas A&M researchers are using AI and uncertainty-aware machine learning to predict chemical toxicity, flag data gaps and ...

The Rocklin Lab at Northwestern University today announced the release of the MGnify Stability Dataset, a large-scale experimental resource containing folding stability measurements for 1.8 million ...

Urban digital infrastructure generates massive volumes of geospatial data daily. Satellites capture aerial pictures. Internet ...

From the weather to sports to the performance of the stock market, predictions are a regular feature of our lives. Most of ...

Northwestern Medicine scientists have developed a new experimental method to analyze conformational fluctuations in protein ...

Nvidia, Google, and a growing list of startups are using AI to make weather reports more accurate—and show the world how ...

Radical AI's 'self-driving' lab designs and tests new alloys, speeding up a material R&D process that often takes human ...

AI is transforming procurement from reactive supplier scorecards to predictive, real-time decision-making, helping ...

Manufacturers are using AI to predict maintenance needs and optimize production lines. Hospitals are leveraging it to improve ...