Using lab-grown brain tissue, researchers uncovered complex patterns of neural signaling that differ subtly between healthy ...

Imagine watching a conversation between brain cells, seeing chemical messages pass from one neuron to another. Scientists can ...

For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory ...

Cancer has long been treated as a mass of rogue cells, but the real power lies in the intricate communication networks ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

A math AI helper is one of the most effective ways for students to complete homework faster while actually understanding the solution.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Stem cells have the capability to develop into any specialized cell type, which makes them a valuable resource in research and regenerative medicine. Differentiated stem cell models provide insights ...