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 ...

Unravelling how neural circuits generate complex behaviours remains one of the most compelling challenges in neuroscience. This endeavor requires tools that ...

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

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

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 Jacksonville Jaguars are 3-1 heading into Monday Night Football. Running back Travis Etienne is finding success on the ground, and the SportsLine Machine Learning Model expects Etienne's solid ...

Abstract: This paper provides an updated overview of recent literature on stock market prediction using machine learning methods. Neural network-based models, particularly those focused on predicting ...

Abstract: This study presents an adaptive battery charging controller that integrates an Elman Backpropagation Neural Network (EBNN) with a Proportional-Integral (PI) algorithm to manage varying ...

Master the derivation of backpropagation with a clear, step-by-step explanation! Understand how neural networks compute gradients, update weights, and learn efficiently in this detailed tutorial.