Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

When you log onto LinkedIn, you're normally presented with suggestions to connect with people you know, either because you went to the same universit ...

The CISO’s role has always been to protect the organization from threats it does not yet understand. AI poisoning requires ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...

A team of researchers report in the Proceedings of the National Academy of Sciences on a new graphene-based sensor design ...

What might connect a Romani non-profit organization from the Czech Republic with tech giants like Google or TikTok? In an ...

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 ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...

The challenge lies not in the accumulation of data, but in the effective extraction of actionable intelligence. Artificial ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...