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

An AI model from Michigan analyzes MRI studies with over 30 sequences in just three seconds on a single GPU – as accurate as ...

Secure your MCP metadata streams with post-quantum encryption and AI-driven anomaly detection. Learn to stop puppet attacks and tool poisoning in AI infrastructure.

Thick cloud cover can completely obscure the surface of the Earth from satellite view, while thinner haze and shadows distort ...

Understanding the connection between behavior and brain cell activity is a major goal of neuroscience. To make progress, neuroscientists often choose simple, transparent lab animals because it's ...

Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...

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 ...

With the rapid development of electric vehicles and energy storage systems (ESSs), accurate state-of-health (SOH) estimation for lithium-ion batteries has become crucial for ensuring safety and ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...