New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

Chinese outfit Zhipu AI claims it trained a new model entirely using Huawei hardware, and that it’s the first company to ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, ...

With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...

I want to evaluate models like ModernBERT, Llama and many others on SuperGLUE and my own benchmark. In my setting, every model has to be fine-tuned for the specific task, even decoder models. Is this ...

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...