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

In recent years, as the field of deep learning has matured, a small but growing group of researchers and technologists has begun to question the prevailing assumptions behind neural networks. Among ...

(A) Schematic illustration of the DishBrain feedback loop, the simulated game environment, and electrode configurations. (B) A schematic illustration of the overall network construction framework. The ...

Previously met with skepticism, AI won scientists a Nobel Prize for Chemistry in 2024 after they used it to solve the protein folding and design problem, and it has now been adopted by biologists ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

The world of visual content creation has undergone a significant transformation thanks to the rise of AI image models. These ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...