Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to study schizophrenia and depression.

At Pittcon 2026, LCGC International Emerging Leader Award Winner, Bob Pirok, discussed the barriers to fully automated method ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

To ensure a robust domestic supply chain in the U.S., Lawrence Livermore National Laboratory (LLNL) scientists are using ...

Overview:  Master R programming faster with real-world projects that build practical data science skillsFrom stock market ...

Rays, an observability platform developed by Omnilogy, a global technology developer focused on the IBM i environment, is raising concerns that traditional IBM i monitoring often stops at ...

The widespread adoption of AI tools by college students . Part I of this story was about AI in K-12 education, and you can ...

Public agency leaders want tangible results from AI and machine learning (ML). The trouble is figuring out how to get beyond ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

In today's rapidly evolving digital era, Artificial Intelligence (AI) has become an integral part of everyday life. From ...

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...