Human brains can turn a single messy experience into a lasting skill, while even the most advanced artificial intelligence ...

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

Artificial intelligence systems designed to physically imitate natural brains can simulate human brain activity before being ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...

Google Research has unveiled Titans, a neural architecture using test-time training to actively memorize data, achieving effective recall at 2 million tokens.

Abstract: The performance of artificial neural networks heavily depends on the optimization of network parameters, specifically weights and biases, during the ...

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

Xinjiang long-staple cotton is widely used in the production of high-end textiles due to its excellent quality. However, ...