Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural network.

Scientists are exploring how simple tweaks to this trusted diet can address specific health concerns, including hypertension, chronic pain, cardiovascular health, and more. The Mediterranean diet is ...

The nature of life is one of the most widely examined topics in science and yet remains deeply mysterious. Life is governed by physical laws, shaped by chemical interactions and influenced by ...

Max Delbrück Center for Molecular Medicine in the Helmholtz Association Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment.

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...

Increasingly, AI models are able make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...

Ethereum co-founder Vitalik Buterin called for simplifying Ethereum’s base protocol, aiming to make the network more efficient, secure and accessible, drawing inspiration from Bitcoin’s minimalist ...