Advances in AI are enabling systems to help create future versions of themselves, with companies like OpenAI, Anthropic, and Google DeepMind deploying models to write code and optimize designs. While ...

We are in a fascinating era where even low-resource devices, such as Internet of Things (IoT) sensors, can use deep learning algorithms to tackle complex problems such as image classification or ...

Zyphra announced Zyphra Cloud, a full-stack AI platform on AMD powered by Tensorwave. The platform launches with Zyphra Inference, a serverless inference service for frontier open-weight models ...

Precision oncology experience at a tertiary care center. Patient-reported outcomes from a phase 2 study of copanlisib in patients with relapsed/refractory indolent B-cell non-Hodgkin lymphoma (iNHL).

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.

Enabling on-device inference with up to 2 billion (2B) parameters, accelerating expansion into ultra-low-power edge AI ...

The next-generation MTIA chip could be expanded to train generative AI models. The next-generation MTIA chip could be expanded to train generative AI models. Meta promises the next generation of its ...

(Nanowerk News) We are in a fascinating era where even low-resource devices, such as Internet of Things (IoT) sensors, can use deep learning algorithms to tackle complex problems such as image ...