TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Inside the Race to Achieve the Singularity—Before Moore’s Law Runs Out

AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.
MIT Technology Review

The robots who predict the future

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

Inside PCL’s push to bring order to industrial project data

One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...
ZME Science

Computer Chips Designed Like Biological Brains Can Finally Handle Massive Math Problems Without Guzzling Energy Like a Normal Supercomputer

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.
EurekAlert!

With the right prompts, AI chatbots analyze big data accurately

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...
Princeton University

Seven faculty members win Sloan Research Fellowships for early-career researchers

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...
IEEE

Classification of Human Ear Shape with Innovative RF and SVM Machine Learning Algorithms and Related Issues

Abstract: The main objective of this paper is to improve the accuracy for especial features of ear detection with ear shape images using learning algorithms. Materials and Methods: This paper’s ...

A Stanford grad student created an algorithm to help his classmates find love; now, Date Drop is the basis of his new startup

As Valentine’s Day approaches at Stanford, some students may be gearing up for first dates — not with people they met on ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

Prediction of Irrigation Water for Plants Using Machine Learning Algorithms

Abstract: Water is essential for nurturing plants and ensuring high yields. With optimal plant growth being fundamental, managing irrigation challenges due to lifestyle changes is crucial. Crops have ...