Risk1d
Calpers adds machine learning specialist Simonian
Machine learning expert Joseph Simonian has taken on a new role at the California Public Employees’ Retirement System ...
Futurism on MSN1d
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 ...
Impacts13d
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 ...
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 ...
Quanta Magazine2d
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, ...
Phys.org25d
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 ...
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 ...
Zawya7d
The Artificial Intelligence and Machine Learning (AI&T) community is born in Mali, with the support of the Netherlands Trust Fund (NTF) V
The Artificial Intelligence and Machine Learning (AI&T) community is born in Mali, with the support of the Netherlands Trust ...
Tech Xplore on MSN21h
Mathematical insight into neuron readout drives significant improvements in neural net prediction accuracy
Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...
EurekAlert!1d
Synchronization in neural nets: Mathematical insight into neuron readout drives significant improvements in prediction accuracy
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate ...
Scientific Research Publishing8d
Research on Teaching Reform of Data Mining and Machine Learning Courses in Applied Universities ()
As a core course in big data analysis technology, data mining and machine learning have a relatively short history and are basically in the process of exploration. There are many problems in the ...