Neuroscientists have discovered that when the brain is distracted, coordinated “rotating” waves of neural activity help it steer back to focus.

As sure as the brain is prone to distraction, it can also return its focus to the task at hand. A new study in animals by ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

The signatories to today’s statement include two of the most prominent figures in AI research: Geoffrey Hinton and Yoshua ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from ...

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

The findings of this study are valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding flexible ...

Abstract: Dynamic stream learning, which emphasizes high-velocity, single-pass, real-time responses to arriving data, is revealing new challenges to the standard machine learning paradigm. In ...

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back Propagation in Neural Networks. In this video, we are using using binary ...

Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...