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

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Forget Zuck, Bezos, Altman and Pindar, here are the tech folks you need to know about (and none are Trump bootlickers).

Autonomous laboratories and AI-driven experimentation are increasingly transforming how scientific discovery is conducted in chemistry, materials science, ...

NTN announced that it has integrated machine learning technology into its automated calculation system used for designing 3rd‑generation hub bearings, marking the first use of this approach in the ...

Dr Dale is a physical oceanographer and studies the currents and the stratification; the salinity, where the low salinity water is sitting and how thick it is. So he is interested in how the lice ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

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 ...

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