Spotting a needle in a haystack is easy compared to Yuejie Chi's typical day.As a leading researcher on the underpinnings of large language models ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...

Autonomous vehicles generate oceans of video and sensor data every day, but most of it sits unstructured and underused. Nomadic is betting that the teams building self-driving systems will pay for ...

At Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences, Yongtao Liu is building AI-driven “closed-loop” nanomaterials experiments that can plan measurements, interpret results in ...

"Many people really needed this job, myself included, and really tried to make the best of a bad situation." ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.