The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Cells called astrocytes are about as abundant in the brain as neurons, but scientists have spent much less time figuring out ...

In the world’s fast-growing cities, everything from road congestion to public safety is under pressure. As populations swell and infrastructure ages, many urban centres are at a breaking point. Yet ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

In order to produce effective targeted therapies for cancer, scientists need to isolate the genetic and phenotypic ...

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

The study, from MIT Lab scholars, measured the brain activity of subjects writing SAT essays with and without ChatGPT.

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.