Open-TYNDP is under active development and is not yet feature-complete. The current development status and the general Limitations are important to understand before using the model. This repository ...

Abstract: Recent advancements in deep learning have improved the signal recognition capabilities of distributed fiber-optic vibration sensors. However, most existing research focuses on closed-set ...

The 2026 U.S. Open tees off on Thursday at 6:35 a.m. ET at Shinnecock Hills Golf Club in Southampton, N.Y. Rory McIlroy (Masters) and Aaron Rai (PGA Championship) were the year's first two major ...

The 2026 RBC Canadian Open tees off at 7 a.m. ET on Thursday at TPC Toronto at Osprey Valley. Because last week was a Signature Event and the U.S. Open is up next, a few of the top names on the PGA ...

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.

Google has released DiffusionGemma, an experimental language model that generates text using a diffusion-based method, producing blocks of 256 tokens at once rather than generating text word by word.

The top AI open source models right now are almost entirely Chinese — and that shift happened faster than most Western analysts expected. According to the Artificial Analysis Intelligence Index v4.0, ...

Companies are shifting from running everything on the most powerful AI model to matching each task to the right one, a practice called model routing. The pressure for efficiency comes as large ...

Ideogram 4 is Ideogram's first open-weight text-to-image model. It is a state-of-the-art foundation model trained from scratch — not a fine-tune of any existing model. It introduces a new structured ...

The generative AI boom has driven the cost of memory into the stratosphere, and Google is a key part of that trend. So it’s only fitting that Google should offer some less RAM-hungry local AI models.

Abstract: The pre-trained text-image discriminative models, such as CLIP, has been explored for open-vocabulary semantic segmentation with unsatisfactory results due to the loss of crucial ...