In a recent study published in PNAS Nexus, researchers provide new insights into human cognition by prioritizing interpretability in predictive modeling of intelligence from brain connectivity, rather ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

A team of researchers at the University of California, San Francisco has developed a data-driven method for optimizing deep brain stimulation (DBS) settings that significantly improved walking ...

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

Melbourne, Australia - 12 August 2025 - Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a ...

Scientists at University of California San Francisco (UCSF) have published in Cell a new study that demonstrates a brain-computer interface (BCI) powered by artificial intelligence (AI) machine ...