Imagine watching a speaker and another person nearby is loudly crunching from a bag of chips. To deal with this, a person ...

Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.

Knowing a little more about how biological vision works can help students to recognize what’s behind the arc of computer ...

Researchers at Washington University in St. Louis have created a neural network model to understand the mechanics of how ...

Combining AI-driven Track & Trace and SF Eye systems, it ensures real-time monitoring and verification, reducing risks and ...

Aimed at redefine digital commerce logistics with artificial intelligence (AI)-powered security, Shadowfax, a provider of ...

Harvard scientists map 70,000 neural connections using revolutionary microchip, marking largest-ever detailed study of brain ...

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 ...

EPFL scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population ...

Dr. Sherif Rashad from MSU wins top honors at IEEE UEMCON, showcasing award-winning AI research in sign language translation ...

Likewise, when researchers study brain dynamics based on recordings of a limited number of neurons, they must infer the latent patterns of brain dynamics that generate these recordings. Suppose you ...