The same brain cells linked to disorientation in Alzheimer's disease have been preserved—and even slightly increased—across ...

High-throughput technologies have produced vast multi-omics datasets (genomics, transcriptomics, epigenomics, proteomics) from large cancer initiatives such ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

The global telecommunications ecosystem has entered its most dangerous cyber era.As 5G, O RAN, cloud workloads, and massive IoT ecosystems expand, telecom networks have become the number one target ...

In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from building ...

Sber opens weights of two new flagship MoE models in the GigaChat series — Ultra Preview and Lightning — trained from scratch ...

Artificial intelligence is moving from the data center into the daily ritual of checking the forecast, and Google DeepMind is ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

Abstract: Electroencephalography (EEG) can non-invasively measure neuronal events and reflect brain activity at different locations on the scalp. Early studies for EEG signal processing have focused ...

Alembic Technologies, a pioneer in Causal AI for the enterprise, today announced it has secured $145 million in Series B and growth funding - a 15.7x increase in valuation over their Series A round.

A major new study suggests a previously unknown risk factor for dementia that strikes decades before symptoms manifest.

For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...