Imagine you're telling a secret to a friend. This might be seeking advice on a personal matter or professional help. Most of the time, you expect this conversation to remain private and away from ...

In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...

Sponsored Feature: Training an AI model takes an enormous amount of compute capacity coupled with high bandwidth memory. Because the model training can be parallelized, with data chopped up into ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

As organizations enter the next phase of AI maturity, IT leaders must step up to help turn promising pilots into scalable, trusted systems. In partnership withHPE Training an AI model to predict ...

AMD's chiplet GPUs, meanwhile, pack in more memory, which makes them ideal for inference, which tends to be more memory-bound than processing-bound. With large GPU inference deals in place, the ...