Futurism on MSN8h
Facebook Shuts Down Machine Learning Systems for Identifying Viral Hoaxes
Deactivating In response to the rising tide of social media-spread misinformation in the 2010s, the social media behemoth ...
Computational chemistry method can wring more information out of electronic structure calculations
Back in the old days—the really old days—the task of designing materials was laborious. Investigators, over the course of ...
Quanta Magazine1d
Can AI Models Show Us How People Learn? Impossible Languages Point a Way.
Certain grammatical rules never appear in any known language. By constructing artificial languages that have these rules, ...
What is Machine Learning?
What does it mean when machines start thinking for themselves? We’ll break down the concept of machine learning and how it’s ...
Impacts12d
Machine Learning for Investment Predictions: Insights Into Future Markets
The world of finance is advancing quickly, with technology playing an increasingly significant role in decision-making ...
Risk14h
Calpers adds machine learning specialist Simonian
Machine learning expert Joseph Simonian has taken on a new role at the California Public Employees’ Retirement System ...
Machine Learning, Innovation, And The Future Of AI: A Conversation With Manoj Bhoyar
In November 2024, Manoj Bhoyar was also honoured with the prestigious Global Recognition Award for his remarkable ...
How machine learning can help predict the spectral properties of materials
MARVEL scientists at the Paul Scherrer Institute, EPFL and the University of Zurich have used a machine learning model to calculate the screening parameters for Koopmans functionals, a promising ...
Scientific Research Publishing2d
A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning ()
Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...
Phys.org24d
Machine learning speeds up prediction of materials' spectral properties
"Density-functional theory is very bad at describing processes ... But a new paper in npj Computational Materials shows that even a simple machine learning model, trained with a modest amount ...
EurekAlert!1d
Machine learning outperforms traditional statistical methods in addressing missing data in electronic health records
A team of researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital ...