Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

Insilico Medicine (“Insilico”, 3696.HK), a clinical-stage generative artificial intelligence (AI)-driven biotechnology ...

AI models trained on physics are slashing the time needed for complex engineering simulations, enabling faster design iterations across industries like automotive, aerospace, and materials science. By ...

Distributed edge AI enables ocean plastic monitoring using vessel-based cameras, offline-first pipelines, and scalable ...

Advancements in structured illumination and computational imaging are revolutionizing semiconductor wafer inspection, ...

The Foundational Paradigm Shift The Omega Architecture, as conceived by Muayad S. Dawood Alsamaraee, represents a fundamental ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

This valuable study addressed a key question in epilepsy research: whether the recordings of very fast oscillations in the brain (>250Hz, fast ripples) reflect underlying pathology or might be a ...

In this study, the authors use microCT to image an intact hatchling octopus and segment major organ systems, including the vascular, respiratory, digestive, and nervous systems. The resulting dataset ...

It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding improvements in future model development. Despite its importance, rigorous ...

Advancements in Machine Learning for Materials Science Machine learning (ML) is really shaking things up in materials ...