Devdiscourse

AI-driven methods accelerate detection of pesticides in food systems

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Zscaler 2026 AI Threat Report: 91% Year-over-Year Surge in AI Activity Creates Growing Oversight Gap for Global Enterprises

News Highlights AI adoption is accelerating faster than enterprise oversight. Despite 200% AI usage growth in key sectors, many organizations ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Frontiers

Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer

1 Digestive Endoscopy Center, Shanghai Tongren Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China 2 Digestive Endoscopy Center, Key Laboratory for Translational Research and ...
Scientific Research Publishing

Goyal, R. (2022) Intracerebral Hemorrhage Detection in Computed Tomography Scans through Cost-Sensitive Machine Learning. Applied Artificial Intelligence, 36, 1-19.

ABSTRACT: Intracranial hemorrhage (ICH) is a critical subtype of stroke that arises from bleeding within the brain and often leads to severe neurological damage or death if not diagnosed at an early ...
KOTA TV

Meta applies machine learning to protect teens from sensitive content

RAPID CITY, S.D. (KOTA) - Instagram has become much safer for teens. Meta has developed an automatically generated user environment. Using machine learning based on reviews from the past year, foul ...
C&EN

A Machine Learning-Assisted Liquid Crystal Droplet Array Platform for the Sensitive and Selective Detection of Per- and Polyfluoroalkyl Substances (PFAS) in Water

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...
IEEE

A Review on Quantum Machine Learning in Applied Systems and Engineering

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...