Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Thursday, May 7, 2026 at 5 p.m. ET. CALL PARTICIPANTS. Chief Executive Officer — Walden Rhines; Chief Financial Officer — Chris Zegarelli; Operator; Need a quote from a ...

Progress Software Corporation ( PRGS) Discusses High-Performance Multi-Database Connectivity and WinSQL Features May 7, 2026 1:00 PM EDT ...

Organizations are scaling AI usage faster than they are building user competency. The gap between AI adoption and AI literacy isn’t just an education problem; it’s a growing security risk. And that ...

Building on feedback and experience from prior models, LEAD aims to reduce barriers to success for both new and experienced ...

Before sketching any UI, clarify what behaviors and mindsets you want to foster in users. Traditional product goals are ...

Just one problem: No one seems to want a data center in their backyard. Communities oppose them because they consume massive ...

Model-based systems engineering (MBSE) has been around for a while, but it continues to gain ground in engineering projects ...

For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...

Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...