Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Overview:Machine Learning libraries like PyTorch, TensorFlow, and JAX help developers build, train, and deploy AI models efficiently.PyTorch is widely used in A ...

In the study “Human-AI Synergy in Statistical Arbitrage: Enhancing Robustness Across Volatile Financial Markets,” published in the journal Risks, the researcher investigates how combining AI with ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Quantum computers could solve certain problems that would take traditional classical computers an impractically long time to solve. At the Japan Advanced Institute of Science and Technology (JAIST), ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Jabez Eliezer Manuel, Senior Principal Engineer at Booking.com, presented “Behind Booking.com's AI Evolution: The Unpolished ...

Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, has today announced a novel quantum computational algorithm to accelerate the discovery and analysis of ...

Overview of D-Wave Quantum technology, quantum annealing systems, and enterprise experimentation within advanced computing ...

Yubi-backed YuVerse positions itself as a last-mile AI orchestration layer, embedding multimodal intelligence into enterprise ...

Focusing on Photonic Solutions. Quantum Computing emphasizes photonic quantum technologies, including nanophotonic entropy computing for AI and o ...

At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...