Crippen spoke with CBS News Detroit's Jack Springgate to tell him why she's turned into somewhat of a Detroit Lions fan since ...

The new standards call on middle school and high school teachers to build on the science of reading taught in elementary ...

Residents in The Samaritan Inn’s Workforce Development program participate in five foundational financial classes: The Emotional Impact of Money, Budget and Spending, Credit, Budget and Saving, and ...

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 ...

Advanced Micro Devices, Inc. is rated Buy with a $286 price target, driven by strong Data Center growth and a major OpenAI partnership. AMD's market share gains in Client Compute and ongoing GPU ...

Animals survive in changing and unpredictable environments by not merely responding to new circumstances, but also, like humans, by forming inferences about their surroundings—for instance, squirrels ...

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...

Qualcomm’s AI200 and AI250 move beyond GPU-style training hardware to optimize for inference workloads, offering 10X higher memory bandwidth and reduced energy use. It’s becoming increasingly clear ...

IBM has teamed up with Groq to offer enterprise customers a reliable, cost-effective way to speed AI inferencing applications. Further, IBM and Groq plan to integrate and enhance Red Hat’s open-source ...

AI unicorn Groq aims to establish more than a dozen data centers next year, its chief executive said, as the startup maps out its global expansion plan. U.S.-based Groq, which makes chips and software ...

If the hyperscalers are masters of anything, it is driving scale up and driving costs down so that a new type of information technology can be cheap enough so it can be widely deployed. The ...

As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...