Recently, there has been convergence of thought by researchers in the fields of memory, perception, and neurology that the same neural circuitry that produces conscious memory of the past not only ...

One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

The acquisition and expression of Pavlovian conditioned responding are shown to be lawfully related to objectively specifiable temporal properties of the events the animal is learning about.

For so long, we’ve held dear the notion that planning for the future is the epitome of human intelligence. The capacity to ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

A viral 2026 trend titled "What smart cars look like in China" shows smart cars from Xiaomi, Huawei's AITO, and NIO ...