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

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

(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 ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

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 advanced algorithms, powered by deep learning and neural networks, have ...

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

Nvidia’s latest pitch for the future of graphics is not about more polygons or higher memory bandwidth, it is about teaching ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...