This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Using machine learning, Johns Hopkins researchers identified healthy and unhealthy patterns based on electrical activity.

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

"Our hope is that in the future we can not only confirm a patient is schizophrenic or bipolar from brain organoids, but that we can also start testing drugs on the organoids to find out what drug ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

Physicist Arvind Murugan earns Schmidt Science Polymath award for work at intersection of physics, biology, computation and materials science ...

Visual selective attention, the ability to allocate limited processing capacity towards the most relevant sensory stimuli, is essential for survival in ...

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...

Our 50s are stressful—the kids are growing up and we often have to care for aging parents,” says Bushman. “You need to make time and create the mindset for exercise.” Whatever activity you choose, if ...