Vitalik Buterin proposes using zero-knowledge proofs to make social media algorithms verifiable without exposing code or user data.

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, making it more applicable in clinical settings. The algorithm outperformed ...

Elementary teachers can talk with students one-on-one to probe their thinking and learn things that might be missed with ...

With a new year upon us, software-security experts disagree on SBOM utility — in theory, SBOMs are great, but in practice, ...

Upscayl uses AI technology to scale images to a larger format. The open source tool adds sharpness and brings details to ...

From tech companies to airlines and streaming services, monopolies are becoming more problematic around the world.

A pioneering study has found that an individualized approach to breast cancer screening that assesses patients' risk, rather ...

The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...

In its recent evaluation of at-home biological age tests, Consumer365 recognized TruDiagnostic's TruAge Test as a notable option for individuals seeking structured, science-based insight into their ...

As research continues into how AI will impact practice, there are open questions about medical training, regulation, and more ...

Amazon Fire TV owners are getting an early Christmas present this year, as Meta has officially started testing an Instagram ...