AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

Deep-learning model decodes the regulatory effects of DNA changes ...

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

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

ISMG has teamed with CyCube to strengthen CyberEd.io's hands-on cyber training platform. The strategic investment aims to ...