Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

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 ...

Serial CT response score (CTRS) predicted overall survival (OS) more effectively than existing imaging-based measures in patients with advanced non–small cell lung cancer (NSCLC) receiving immune ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Many adults find themselves in a complex emotional position when they interact with their aging or demanding parents. It is a ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Read more about AI-driven learning analytics struggle to deliver measurable gains in higher education on Devdiscourse ...

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

Researchers introduced AdditiveGDL, a generative deep learning method that predicts local thermal distributions across metal ...

Simulation results show enhanced logical error suppression and real-time decoding potential ...

Joy in dance is essential, but when “fun” becomes an excuse to sidestep pedagogical responsibility, it rings hollow. What is ...

In the evolving landscape of oncology, skin cancer diagnosis stands out as a domain where the synergy between AI and multimodal imaging is rapidly changing ...