Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

SANTA CLARA, Calif. – At the AI Infra Summit, Nvidia VP of HPC and Hyperscale Ian Buck announced that the next generation of Nvidia GPUs will have a specialized family member designed specifically for ...

For years, every large language model – GPT, Gemini, Claude, or Llama – has been built on the same underlying principle: predict the next token. That simple loop of going one token at a time is the ...