The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...

Trying to read more can be a hard habit to stick to – even if you're someone who regularly reads a lot. Just ask Nadia Odunayo, the founder and CEO of The StoryGraph, a book recommendation website ...

When was the last time you got lost in a book? These days, the act of 'deep reading,' or reading with intention, can be difficult to practice. Maryanne Wolf, an expert in the science of reading, ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Editor’s Note: Click on the words highlighted in this story to pull up a definition and short research summary. Visited recently by one of his former students, Minnesota teacher Eric Kalenze was ...

We read a lot on our devices and not in physical books. How long it takes to read something depends on the person reading the content. To make reading a quick affair, there is an innovative technique ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...

AMD is strategically positioned to dominate the rapidly growing AI inference market, which could be 10x larger than training by 2030. The MI300X's memory advantage and ROCm's ecosystem progress make ...