Discover how individual neurons in the brain learn to recognize and predict patterns in the flow of time, providing insights into the structure of time.

Applications based on long short-term memory (LSTM), a recurrent neural network (RNN) type, are used in 5G networks to ...

It's my pleasure today to be in conversation with Reid Hoffman, the co-founder of LinkedIn and the author of a new book, "Superagency: What Could Possibly Go Right With Our AI Future?" ...

Even the mere knowledge that their device is close by, either in their bag or on their desk, can distract students from ...

Overwhelmed by the sheer number of “best” mattresses on Amazon? The feeling is mutual. A quick search spits out over 60,000 results—some from heavy hitters in the sleep game like Nectar, Casper, and ...

Starlink’s Direct to Cell project aims to eliminate dead zones for mobile users, promising seamless coverage this year. For ...

Whether your love language is off-the-grid solitude or old-world luxury, these tucked-away destinations will delight you and ...

This influx of calcium at the contact site attracts and activates a kinase called CaMKII, a protein known to be important in ...

New research shows that a network of subcellular structures similar to those responsible for propagating molecular signals that make muscles contract are also responsible for transmitting signals in ...

New research reveals that brain cells use a muscle-like signaling mechanism to relay information over long distances.

Virginia Tech neuroscientists have uncovered a mitochondrial process that supports the brain cells critical for learning, ...

Researchers have identified a unique mitochondrial process in CA2 neurons that supports learning, memory, and social ...