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 ...

Camouflaged Object Detection (COD) poses a significant challenge in computer vision, playing a critical role in applications. Existing COD methods often exhibit challenges in accurately predicting ...

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 ...

DiffSensei can generate controllable black-and-white manga panels with flexible character adaptation. If you plan not to use the MLLM component, you can download the model without the MLLM component ...

Abstract: Synthetic aperture radar (SAR) imaging, essential for all-weather observation, is often degraded by noise, under-sampling, and complex scenes, challenging conventional reconstruction. Under ...

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.

Google LLC today released DiffusionGemma, a large language model based on an emerging machine learning approach known as text diffusion. The company says the algorithm can generate text four times ...

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.