Today in power electronics, the folks over at Texas Instruments have put together a video covering low-dropout (LDO) linear regulators. For a hacker, power is pretty fundamental, so it behooves us to ...

Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with momentum. Perfect for machine learning enthusiasts and researchers looking ...

Artificial Intelligence with Chinese Characteristics revolves around its primary logistical bottleneck and one of China's most enticing exports - green energy. Since taking office in 2013, Chinese ...

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

In a standard paper assignment setting, a set $\mathcal{P}$ of $n^{(p)}$ papers needs to be assigned to a set $\mathcal{R}$ of $n^{(r)}$ reviewers. To ensure each ...

Grok, the AI-powered chatbot created by xAI and widely deployed across its new corporate sibling X, wasn’t just obsessed with white genocide this week. As first noted in Rolling Stone, Grok also ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

I’m not a programmer. But I’ve been creating my own software tools with help from artificial intelligence. Credit...Photo Illustration by Ben Denzer; Source Photographs by Sue Bernstein and Paul ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...