Learn how insider trading occurs in crypto and the advanced forensic, legal, and exchange-level tools used to detect and ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

The massive swarm of earthquakes that rattled the Greek islands of Santorini and Amorgos in 2025 was not caused by a slipping fault – it was triggered by pulses of magma tunneling far below the ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

Regionally, North America, Asia-Pacific, and Europe remain the strongest markets for horizontal flow wrapping machines. The ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...

Climate change is driving drastic environmental shifts and accelerating global biodiversity loss. Hybrid introgression has ...

Abstract: Traffic flow imputation aims to estimate missing flow values within a traffic network. While machine learning methods have been widely applied to this challenge and outperformed conventional ...

A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...