AI framework fuses data and literature to speed high-entropy alloy discovery

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
Duke Pratt School of Engineering

Mapping Behavior with Machine Learning

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

Top Pandas Courses and Certifications for Python in 2026

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio, an award-winning applied AI and machine-learning company, has just announced the launch of the Data Fusion Labeler (dFL) , a platform designed to harmonize, label, and prepare complex ...
IEEE

Corrections to “Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review”

Abstract: Presents corrections to the paper, (Corrections to “Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review”).