Categories: AI/ML News

Foundation AI models trained on physics, not words, are driving scientific discovery

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different problems in another.

AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design

September 24, 2025

In "FAANG"

Study explores the scaling of deep learning models for chemistry research

Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising…

November 12, 2023

In "AI/ML News"

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models

*Equal Contributors Large language models (LLMs) are increasingly being adapted to achieve task-specificity for deployment in real-world decision systems. Several previous works have investigated the bias transfer hypothesis (BTH) by studying the effect of the fine-tuning adaptation strategy on model fairness to find that fairness in pre-trained masked language models…

December 12, 2024

In "FAANG"

AI Generated Robotic Content