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.

New crypto Pepeto just crossed $10.398 million raised in a red market, and that kind of traction when most tokens are bleeding only appears when real demand is building underneath. Why would anyone ...

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

Throwing money at massive GPUs won't fix your AI budget; you need to optimize your software and rethink your cloud strategy ...

The teams that get full value from reality capture treat human change as the real implementation. They build the new workflow ...

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

Taiwan and the Philippines’ Batanes Islands share a common strategic environment that could foster “parallel preparedness,” a security model based on resilience and deterrence, as China intensifies ...

Cursor Origin git platform launched at Compile alongside a 1.5-trillion-parameter model in training and a new iOS app, as ...

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.

Blue Energy, GE Vernova, and Crusoe are advancing a gas-to-nuclear model that pairs natural gas with SMRs to deliver firm ...

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.

The biggest bottleneck in Hollywood's visual effects isn't making simulations look real anymore—it is the catastrophic cost ...