Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, forming the technological backbone of modern optoelectronics. Traditionally ...

Perfluoropolyethers (PFPEs) have attracted much attention due to their exceptional chemical stability, thermal resistance, and wide application in high-performance industries such as aerospace, ...

Surface roughness in CNC turning is a pivotal quality metric shaping functional performance, service life and production cost. This study investigates data-driven prediction of arithmetic mean surface ...

Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...

Researchers have discovered two new superconductors using a machine learning-based screening method, demonstrating a ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

OpenX IQ reflects the company's broader strategy to lead with quality and performance in programmatic advertising. By embedding intelligence directly into its platform - where signals are most ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...