Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

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

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...

As organizations automate more of the work once performed by junior analysts and engineers, they’re confronting a challenge that’s as much about workforce design as architecture design: how to build ...

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

A.I. labs are hiring contrarian, chin-stroking, finger-steepling sages. Who’s underemployed now? Clockwise from top left: ...

For the past many years, insurance AI has had one clear job, and that is to create claims at a faster pace. FNOL went digital ...