Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

The creative new approach could lead to more energy-efficient machine-learning hardware. On a table in his lab at the University of Pennsylvania, physicist Sam Dillavou has connected an array of ...

The intersection of artificial intelligence (AI) with nanophotonics has received tremendous interests because of its potential to solve the most challenging problems in both areas. In photonics, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The world has an abundant supply of raw location data. It flows from every smartphone, ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative production. By aligning semantic understanding with template ...

In an X-note, Awni Hannun, of Apple’s ML team, calls the software: “…an efficient machine learning framework specifically designed for Apple silicon (i.e. your laptop!)” The idea is that it ...

The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

See Thor, DJX Spark, and Apple's M4 Pro Mac Mini tested, with 8W vs 31W vs 44W power draw, to choose the right local AI & ML machine for your ...