Power Technology

Redefining load forecasting and management: how AI is making smart grids smarter

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
The Verge

The algorithm failed music

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
Quanta Magazine

The Game Theory of How Algorithms Can Drive Up Prices

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
IEEE

Optimizing TAN Monitoring in Various Anaerobic Digestion Systems: A Machine Learning Approach with XGBoost and AdaBoost

Abstract: Controlling Total Ammonia Nitrogen (TAN) concentrations is critical for ensuring stabilization in anaerobic digestion (AD) systems. This study investigates the performance of the XGBoost and ...
Frontiers

PiCCO hemodynamic parameters in cardiogenic shock: prediction of LVEF, NT-proBNP and MACE based on XGBoost machine learning model

Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China Introduction: This study used the Extreme Gradient Boosting (XGBoost) machine learning model to ...
Forbes

Learning In The Flow: Coursera Brings Courses Directly Into ChatGPT

With Apps in ChatGPT, Coursera is available to provide on demand education to users without breaking the flow of the conversation. When you’re deep into a project at 10 p.m. and suddenly need to learn ...
Business Insider

In factories, AI-powered robotics and algorithms are speeding up manufacturing for shampoo, dog food, and more

Companies across sectors have invested in AI at some of their new manufacturing sites. AI can help to increase production, predict machine breakdowns, and forecast demand. This article is part of "How ...
Cinema Blend

‘I Was Spiraling At That Time.’ The Rock Gets Real About How The Smashing Machine Helped Him Process His Past Struggles

Wrestling ‘I Don’t Like To Get Hit In The Face.’ The Rock On Why He Never Left WWE To Try UFC Or Something Harder Drama Movies Dwayne Johnson addresses The Smashing Machine debuting to a career-worst ...
IEEE

Modeling and Forecasting Stock Prices Using LSTM and XGBoost: A Comparative Machine Learning Perspective

Abstract: Because financial markets are so volatile, forecasting stock prices is a difficult and everevolving process. Because of advancements in machine learning and deep learning, researchers are ...
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Education Week

Is It Bad to Memorize All Those Algorithms in Math?

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...