By reviewing three decades of AI applications in electrocatalysis, researchers reveal how the field has shifted from isolated data analysis toward end-to-end, data-driven discovery. The work ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

CRN rounded up 10 Network‑as‑a‑Service (NaaS) companies to watch in 2026 that believe NaaS will power AI-era workloads.

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Company collaborating with third parties using "proprietary artificial intelligence and machine learning technologies to identify nonspecific responses and understand and predict susceptibility to ...

A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...

Jason Merkel writes, Data centers—and the industries that support them—bring long-term investment, local tax revenue, and good-paying jobs. With careful planning and strong safeguards, we can grow our ...

Scientists discovered that two brain chemicals in honey bees can predict how fast they will learn, offering new insight into ...

The next era of lending will be defined by companies that operationalize AI with discipline, building in strong governance, ...