Interpretability in deep learning for finance: A case study for the Heston model

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 ...

Physics-constrained AI boosts satellite weather accuracy

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
American Institute of Physics

Using deep learning to better forecast tropical cyclone tracks and intensities

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...
BGR

AI Deep-Learning Models Show Us How The Brain Evolved Over 320M Years

The human brain is one of the most complex structures in nature, but the brain's origins stretch back hundreds of millions of years. A new study using AI deep-learning models has revealed more about ...
Security Boulevard

NDSS 2025 – A Method To Facilitate Membership Inference Attacks In Deep Learning Models

Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman ...
Phys.org

Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...
Justdial on MSN

Machine learning vs deep learning: Which one is better?

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
ascopubs.org

Deep Learning Model for Natural Language to Assess Effectiveness of Patients With Non–Muscle Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin Therapy

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...

Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications

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 ...