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Mechanics say this modern transmission trend is a repair nightmare

Modern automakers have turned transmissions into high-tech showcases, chasing smoother shifts, better fuel economy, and […] ...
IEEE

Evolutionary Algorithm for the Traveling Salesman Problem With Innovative Encoding on Hybrid Quantum-Classical Machines

Abstract: The Traveling Salesman Problem (TSP) is a widely studied NP-complete optimization challenge with significant theoretical and practical implications. This study proposes a hybrid ...
IEEE

A 27–30 GHz T/R Module With Reflection-Type Phase Shifting and Machine-Learned Calibration

Abstract: This paper presents a transmit/receive module (TRM) for phased arrays realized in 45nm RFSOI CMOS technology and calibrated using machine learning. The 27-30GHz TRM includes a ...
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...