A deep learning framework transforms decades of solar data into a unified, high-resolution view—adjusting instruments, overcoming limitations, and helping us better understand our star. A ...

The monograph provides a complete picture of neural information retrieval techniques that culminate in supervised neural learning to rank models including deep neural network architectures that are ...

VideoProc launched VideoProc Converter AI 8.0 in Windows today, featuring 40% to 80% speed boost in Super Resolution, DPI settings, and other improvements. VideoProc Converter AI now outperforms many ...

The arrival of OpenAI's DALL-E 2 in the spring of 2022 marked a turning point in AI, when text-to-image generation suddenly ...

As a result, there is a surge of interest in developing new deep learning techniques on graphs for a large number of NLP tasks. In this monograph, the authors present a comprehensive overview on Graph ...

Tesla's foray into humanoid robots represents a watershed moment for both the company and potentially society as a whole. But critical questions remain about ...

AI networking refers to the application of artificial intelligence (AI) technologies to network management and ... machine learning models, executing neural networks for tasks like image and ...

But anyone who reads Our Brains, Our Selves will benefit from learning the role played by basic neural functions in determining who we are. As Husain concludes, “they are crucial parts of the ...

Defeating Wi-Fi dead zones is more important than ever. A mesh network system can help, and these are the best we've tested. I’ve been working with computers for ages, starting with a multi-year ...