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

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Researchers combined observations and modeling to track the movement of the Congo’s freshwater plume, noting that eddies play ...

A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need for massive computing resources. Called Time-to-Move (TTM), it offers ...

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.

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

Diffusion MRI is increasingly used to study white-matter architecture, but tractography and diffusion metrics can be biased by different sampling schemes. We assessed systematic differences across ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

Given a noisy linear measurement [equation] of a distribution [equation], and a good approximation to the prior [equation], when can we sample from the posterior [equation]? Posterior sampling ...

VideoGuide 🚀 enhances temporal quality in video diffusion models without additional training or fine-tuning by leveraging a pretrained model as a guide. During inference, it uses a guiding model to ...