Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Changes in rainfall within global monsoon regions affect the livelihoods of billions. For years, climate models have ...

Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing supervised systems while uncovering biological patterns that traditional ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

Deepdub, a foundational voice AI company pioneering expressive localization technologies, announced today a strategic partnership ...

The Federal Ministry for the Environment, Climate Protection, Nature Conservation and Nuclear Safety (BMUKN) supports applied basic research that is helpful for the site selection of a deep geological ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

The IndiaAI Mission 2.0 focuses on MSME’’s, AI solutions and Sovereign AI and addition of 20,000 additional GPUs. Learn about the features, objectives and the IndiaAI Mission for a 'Viksit Bharat and ...

Zyphra today announced the release of ZUNA, the company's first foundation model trained on brain data. ZUNA significantly ...

When AI-driven Instagram accounts are riding viral trends, the post talks about how AI-powered fake identities are reshaping trust, trends, and truth on social media.

A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.

Membership Inference Authors, Creators & Presenters: PAPER Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of ...