Nvidia, and for that matter the GPU, are technologically not suited for scale-out datacenter ml/dl inferencing acceleration. To grasp this, one simply needs to look at the fact that Nvidia's soon to ...

Both humans and other animals are good at learning by inference, using information we do have to figure out things we cannot observe directly. New research from the Center for Mind and Brain at the ...

Researchers have introduced new dimension and model reduction methods that extend optimal Bayesian inference to problems with ...

Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...

Ask most enterprises where their AI budget goes and they point at training runs, or at the frontier-model contract they just signed. In production, both answers miss the mark. For the large majority ...

Somewhere on your team right now, someone is pasting a chunk of source code into ChatGPT to debug an error. Someone else is dropping in meeting notes and asking for a ...

“The rapid release cycle in the AI industry has accelerated to the point where barely a day goes past without a new LLM being announced. But the same cannot be said for the underlying data,” notes ...

Together AI introduces Polymorphic Inference and Together Compiler to optimize open-model AI inference for diverse and ...

A prompt looks deceptively simple. A user types a question into an AI assistant, presses Enter, and a response appears. But behind that interaction is a distributed system spanning networks, policy ...

India’s AI boom may be quietly creating its next major dollar outflow problem. As startups and enterprises rush to embed generative AI and large language models into everything from customer support ...