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

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

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

Build AI into your enterprise content and knowledge management platform with 5 APIs that help you base your AI on enterprise ...

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

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

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

GraphRag: Overcoming challenges of integrating Large Language Models as reliable elements of the cyber defence community. By Dominik Tomicevic ...

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

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

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 ...