Developed to measure the effectiveness of plasma-based air disinfection, the approach could eventually assess other techniques as well Zhenyu Ma ...
New research has discovered that the molecular machines responsible for copying our DNA have a surprising hidden talent—an ...
Cargill's 2026 BIG AI Excellence Award highlights how deeply machine learning has penetrated global agriculture, from grain ...
A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
Carlo Bicchi belongs to that rare category. In this extensive interview, Chiara Cordero speaks to Carlo Bicchi, winner of the 2026 Marcel Golay Award, as they both prepare to present at the 44th ISCC ...
For many of us "protein" is the key element of a food order. However, beyond your preferred choice of meats or plant-based alternatives, proteins encompass a large class of complex biomolecules whose ...
Share and Cite: Wu, N. , Li, N. , Zhang, T. and Wen, Y. (2026) Analysis of Error Results from Three-Dimensional Coordinate Measuring Machine for Detecting Precision Machined Components of Rotating ...
The Lada Niva has earned its reputation as one of the most capable and enduring off-road vehicles ever built. Decades after its introduction, a global community of owners continues to rely on it for ...
An oil painting showing a man and woman in the center of the image; the man on the left reaches out his right hand to take ...
An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...
The Print on MSN
In a small town in Gujarat, researchers are training AI to detect anaemia without drawing blood
Innovation one of 33 shortlisted from over 150 applications got under ICMR-NIN INFUSE initiative. Study protocol published ...
Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...
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