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

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 ...

The researchers suggest that this improvement in diagnostic performance for OFC biomarker discovery can be used to develop a diagnostic alternative for food allergy that is scalable and more efficient ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, providing the foundation for AIQ’s predictive insights. Together, ADM and ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...

From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...

Launched at an exclusive VIP event in Baku, ODUN.ONE marks the industry's shift from Deep Packet Inspection to Deep ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...