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 ...

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

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...

Meta is shifting the goalposts in the AI coding race. The company has released its Code World Model (CWM), a powerful 32-billion-parameter system designed not just to write code, but to fundamentally ...

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...