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MyJournals.org - Science - 'Algorithms, Vol. 16, Pages 245: Consensus Big Data Clustering for Bayesian Mixture Models' (Algorithms)

MyJournals.org - Science - Algorithms, Vol. 16, Pages 245: Consensus Big Data Clustering for Bayesian Mixture Models (Algorithms) ....

Monte Carlo ,

Memristors Run AI Tasks at 1/800th Power

These brain-mimicking devices boast tiny energy budgets and hardened circuits ....

Bryan Clark , Hudson Institute , Budgetary Assessment , Neural Networks , Artificial Intelligence , Machine Learning , Floating Gate ,

PALI LEHOHLA | We owe Thami Mtshali curiosity to do as he did and uplift humanity

The Pan-Africanist behind iBurst and Galela died in Soweto on October 9 aged 57 ....

South Africa , Free State , Thami Mtshali , Sunday Times , Comment Policy , Pali Lehohla , Development Researcher , Chris Barnard , Pan Africanist , Ann Washkansky , Covid 19 , Hleoheng Ha Motsarapane , Ronald Fisher , Food And Drugs Administration , Thomas Bayes , Harvard University , Prof Leonhard Mehlber , University Of Johannesburg , University Of Ghana , University Of The Witwatersrand , Oxford University , Economic Modelling Academy , Institute For Economic Justice , Reaking News , Sunday Times , He Times ,

"Emulation of greenhouse-gas sensitivities using variational autoencode" by Laura Cartwright, Andrew Zammit-Mangion et al.

Flux inversion is the process by which sources and sinks of a gas are identified from observations of gas mole fraction. The inversion often involves running a Lagrangian particle dispersion model (LPDM) to generate simulations of the gas movement over a domain of interest. The LPDM must be run backward in time for every gas measurement, and this can be computationally prohibitive. To address this problem, here we develop a novel spatio-temporal emulator for LPDM sensitivities that is built using a convolutional variational autoencoder (CVAE, a two-piece neural network capable of condensing and reconstructing images). With the encoder segment of the CVAE, we obtain approximate (variational) posterior distributions over latent variables in a low-dimensional space. We then use a spatio-temporal Gaussian process emulator on the low-dimensional space to emulate new variables at prediction locations and time points. Emulated variables are then passed through the decoder segment of the CVAE ....

Environmental Statistics , Lux Inversion , Gaussian Process , Agrangian Particle Dispersion Modeling , Machine Learning ,

Metanomic Acquires Intoolab, Developers of the First Bayesian Network Artificial Intelligence Engine

The acquisition will help developers create better video game economies and Web3 experiences through deep player insight and data analytics Today, Metanomic (https://www.metanomic.net/) announces ....

Theo Priestley , Kostenloser Wertpapierhandel , Graeme Fraser , Bayesian Network Artificial Intelligence , Predictor Research Models , Dynamic Bayesian Networks , Deep Learning , Dynamic Bayesian , Economy Intelligence , Economy Balance Prediction , Gamer Categorisation , Gameplay Recommendations , Retention Strategies , Nikos Tzagkarakis , Metanomic Engine , Bayesian Inference , Pathway Simulations , Global Marketing ,