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New memristor training method slashes AI energy use by six orders of magnitude

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Alphabet's 'Ironwood' Singularity And The Inevitability Of The Zero-Marginal-Cost Compute Flywheel

Alphabet delivers an integrated AI stack with TPUs, data scale, and near-zero inference costs, plus targets and key risks.

AMD: The Trillion-Dollar Rack-Scale Arbitrage Behind The OpenAI Deal

AMD's Helios rack-scale architecture, OpenAI's 6-gigawatt deal, and ZT Systems integration underpin a path to $20+ non-GAAP ...
IEEE

Sequential Optimization of EV Charging Scheduling with Photovoltaic and Battery Integration Using Quadratic Programming

Abstract: This study develops a sequential quadratic programming algorithm for managing electric vehicle (EV) charging power in a charging station powered by a photovoltaic (PV) system, the power grid ...
IEEE

Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction

Abstract: The assessment of urban quality of life (UQoL) is a multidimensional challenge involving socioeconomic, environmental, and infrastructure-related variables that, due to changes in the ...