Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.

Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.

New research and theories suggest the brain may remain active near death, shaping visions, memories, and possibly our sense ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

With a 23% holdings overlap as of April 2026, WTAI and WQTM offer complementary exposure to the shared pursuit of greater ...

Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU at a cost to quality.

The era of artificial intelligence gave organizations speed. The era of artificial wisdom will be what makes that speed ...

Working memory is the information we need to access to complete the tasks we’re engaged in right now, and scientists think it ...