Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...
Technology demonstrated at ABB's booth in NewTech Automation & Robotics eventCAESAREA, Israel, Feb. 12, 2026 / ...
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...
During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...
This new article publication from Acta Pharmaceutica Sinica B, discusses the deep learning-based discovery of tetrahydrocarbazoles as broad-spectrum antitumor agents and click-activated strategy for ...
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...
Cosmetic Results and Side Effects of Accelerated Partial-Breast Irradiation Versus Whole-Breast Irradiation for Low-Risk Invasive Carcinoma of the Breast: The Randomized Phase III IRMA Trial We ...
Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.