BIOENGINEER

Machine Learning Surrogates Predict Wing Aerodynamics and Stress in Seconds

Researchers built regressor chain surrogate models that predict pressure and stress fields across varied wing planforms with ...
BIOENGINEER

Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
Analytics Insight

Data Science Courses for 2027: Skills to Learn as AI Changes the Job Market

Overview: Recent Indian hiring data highlights demand for Python, large language models, AI agents, and retrieval systems in ...
MarkTechPost

Machine Learning

In the field of artificial intelligence, machine learning is a branch that uses data and algorithms to imitate human learning ...
globalsouthopportunities

EPFL Machine Learning for Biomedicine Lab Opens Research Opportunities for Postdoctoral Fellows, PhD Students and Interns in Switzerland (Fully Funded)

The Machine Learning for Biomedicine Lab (MLBio Lab) at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland is welcoming applications from ...
Science

Biophysically constrained learning from healthy neural priors improves motor decoding in pathological cortical networks

High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...
Columbia University School of Professional Studies

From Biology to Analytics: Kadiatou Bah on Using Data to Improve Health Care

CUNY Fellow Kadiatou Bah discusses her path from Medgar Evers College to Columbia SPS, building new technical skills, and her ...