Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Tight PPA constraints are only one reason to make sure an NPU is optimized; workload representation is another consideration.

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

When managing associate Tanya Sadoughi found a recurring problem in the banking and finance practice, she put her newfound ...

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...

Abstract: The processing-in-memory architecture based on memristors has been widely studied for hardware implementation in neural networks, serving as a solution to address the von Neumann bottleneck.

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...

Dubbed “Boto-Cor-de-Rosa,” the new campaign includes the addition of a WhatsApp web-based worm that allows the malware to spread itself by using a victim’s WhatsApp contacts versus previous Astaroth ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.