In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

Learning to code doesn’t require new brain systems—it builds on the ones we already use for logic and reasoning.

The ever-growing use of technology in society makes it clear that computer programming may be a valuable skill. But how do our brains learn to code?

Parts of the brain are "rewired" when people learn computer programming, according to new research. Scientists watched ...

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...

Abstract: In recent years, due to the rich parameters contained in deep neural network (DNN) models, researchers have proposed DNN model steganography, using DNN models as carriers. In this paper, we ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

Abstract: Spiking Neural Networks (SNNs) use discrete spike sequences to transmit information, which significantly mimics the information transmission of the brain. Although this binarized form of ...

FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively. FramePack compresses input contexts to a constant length so that the generation ...

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...