Phys.org

Machine learning offers new framework for heterogeneous catalyst data analysis

Machine learning (ML) models have recently become popular in the field of heterogeneous catalyst design. The inherent complexity of the interactions between catalyst components is very high, leading ...
Frontiers

Brain-Computer Interfaces (BCIs) for daily activities: Innovations in EEG signal analysis and machine learning approaches

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...
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 ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
The Manila Times

2026 Data Science Course Created by FAANG+ Data Scientists Focused on Production-Ready Skills in AI and Machine Learning

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...
Business Wire

Planet Releases Analysis-Ready PlanetScope Product for Time-Series Analysis and Machine Learning Models

SAN FRANCISCO--(BUSINESS WIRE)--Planet Labs PBC (NYSE: PL), a leading provider of daily data and insights about Earth, today released Analysis-Ready PlanetScope (ARPS). ARPS harnesses a cutting-edge ...