AI agents might smooth some of retail’s worst data problems

So many retail challenges hinge on unreliable product data. Can agentic AI clean up that data enough to make a difference?

NextSilicon Maverick-2 promises to blow away the HPC market Nvidia left behind

The one chip startup building accelerators for something other than AI boasts performance up 10x that of modern GPUs using a ...
https//carbuzz

2.7 EcoBoost Problems You Might Run Into And Which Models To Avoid

Aaron, a 27-year automotive technician and lifelong car enthusiast, attended Specs Howard School of Media Arts and learned the fundamentals of digital video and editing, shot composition and writing.
Cloud Security Alliance

Beyond AI Principles: Building Practical Transparency for Cybersecurity

Explores the WBSC framework for practical AI transparency in cybersecurity, aligning with CSA controls to boost trust, risk ...

Intel: From Rival To Partner, How The Chip Game Is Changing

Mind you, at the moment it's just a rumor, of course, but the mere idea that a competitor is considering entrusting Intel (NASDAQ:INTC) with the production of its chips is enough to spark investors' ...
IEEE

A Fault-Aware Architecture for Reliable Sparse Matrix Multiplication

Abstract: With the advancement of Artificial Intelligence (AI), the reliability of AI accelerators has become increasingly critical. Moreover, sparse matrix multiplication has become a fundamental ...
IEEE

Reciprocal-Type Zeroing Neural Dynamics Model for Tackling Time-Dependent Lyapunov Matrix Equation Problems and Applications

Abstract: Time-dependent Lyapunov matrix equation (TDLME) plays a central role in the control of linear and nonlinear systems. Existing models, including the classical zeroing neural dynamics (ZNDs) ...