OpenAI is expanding access to its most advanced AI models to help businesses and governments shore up their cyber defenses, a ...

India’s AI startup boom is facing a reality check, as rising shutdowns reveal a deeper shift from hype-driven growth to disciplined, performance-led building.

The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the reliable ...

Heartland Advisors highlights a long-term rotation into undervalued small-cap value stocks despite recent volatility. Read ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

In these politically divisive times, there’s one thing we all agree on—we don’t want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

Abstract: This article introduces a novel approach that combines a multimodel technique with model-free adaptive control (MFAC) to address the limitations of the full-form dynamic linearization (FFDL) ...

block-insertion-theorem is a reproducible reference implementation of a combinatorial result about block insertion and counting linear extensions of posets. The repository provides a formal JSON ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Accurate quantitation during chemical characterization─also referred to as ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...