Deep Learning with Yacine on MSN

Nesterov Accelerated Gradient (NAG) From Scratch in Python – Step-by-Step Tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient #Mach ...

Python-based framework makes climate dynamics more approachable for students and researchers

A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful ...
The Register on MSN

OpenStack in the pink with Flamingo release that escapes ancient Python constrictions

Project boss pleased to be getting on top of technical debt OpenStack has delivered its 32nd major release, named "Flamingo." ...
IEEE

Time Complexity of Training DNNs With Parallel Computing for Wireless Communications

Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...
IEEE

Low-Complexity Control for Uncertain SbW Systems With Time-Varying Nonlinearity and Prescribed Tracking Performance

Abstract: This article addresses a tracking performance control problem for steer-by-wire (SbW) systems with model uncertainty and time-varying nonlinearity (e.g., time-varying longitudinal dynamics ...
IFLScience

First Visible Time Crystals Ever Made Have Astonishing Complexity And Practical Potential

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Phys.org

'Historical time' helps students truly understand the complexity of the past—and how they fit into it

Was the Franco dictatorship a cause or consequence of the Spanish Civil War? Was Einstein a medieval scientist? Confusions like these are quite common among secondary school students, who tend to ...