Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers identify potential system failures before they cause major problems, like a ...

One in three people believe they don't have to seek the news from traditional outlets like newspapers and television. Instead ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.

So when it comes to models that the general public can access, GPT-5.5 has retaken the crown for OpenAI, achieving the state-of-the-art across 14 benchmarks.

A Cornell University research team developed a control framework that simultaneously considers past and future conditions when determining solar panel tilt angle. The researchers told pv magazine it ...

A team of researchers at Ericsson has found that hybrid quantum-classical computing techniques could improve radio access ...

New testing breakthrough: MIT researchers developed MetaEase to scan cloud networking algorithm code and uncover potential worst‑case failures ahead of deployment. Faster, simpler checks: The tool ...

Employing a comprehensive airspace framework, researchers underscore the importance of structured airspace design for ...

New stress-testing tool: MetaEase analyzes algorithm source code to identify worst-case performance gaps without complex rewrites, streamlining verification. Preventing costly outages: By simulating ...

Over-reliance on analytics has distanced brands from users, making human understanding the key advantage in a signal-loss era ...

Russ Rhinehart started his career in the process industry. After 13 years and rising to engineering supervision, he ...

In April, the General Services Administration announced plans to automate 1 million work hours annually after cutting nearly ...