The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Every second, millions of AI models across the world are processing loan applications, detecting fraudulent transactions, and diagnosing medical conditions generating billions in business value. Yet ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

After raising $750 million in new funding, Groq Inc. is carving out a space for itself in the artificial intelligence inference ecosystem. Groq started out developing AI inference chips and has ...

AWS CEO Matt Garman talks to CRN about its new Trainium3 AI accelerator chips being the ‘best inference platform in the world,’ AI openness being a market differentiator versus competitors, and ...

ATLANTA--(BUSINESS WIRE)--d-Matrix today officially launched Corsair™, an entirely new computing paradigm designed from the ground-up for the next era of AI inference in modern datacenters. Corsair ...

RENO, Nev.--(BUSINESS WIRE)--Positron AI, the premier company for American-made semiconductors and inference hardware, today announced the close of a $51.6 million oversubscribed Series A funding ...

The option to reserve instances and GPUs for inference endpoints may help enterprises address scaling bottlenecks for AI workloads, analysts say. AWS has launched Flexible Training Plans (FTPs) for ...

Over the last year, AMD's share price declined by -53.4% compared to a return of +22.3% for Nvidia's stock. When looking exclusively at market performance, one would think that AMD is significantly ...