AI is changing PC graphics. Microsoft wants DirectX ready

DirectX, the Microsoft technology that allows PC games to talk to your gaming hardware, is going to build in support for the ...
Morning Overview on MSN

Noise-powered chips use heat for computing and can crush classic power limits

Researchers have built a small-scale computer that runs on thermal noise, the random electrical fluctuations that conventional chip designers spend billions trying to suppress. The device, called a ...
GitHub

Transfer-learning-model-of-Mechanical-Properties-for-Particle-Reinforced-Aluminum-Matrix-Composites

1.Core code for the PAMCs-MP model (Pre-traIn,Fine-tuning). 2.Machine learning and grid-search code, including implementations for SVR, Random Forest (RF), Gradient Boosting (GB), and BPNN. 3.Code for ...
Education Week

These Students are Learning the Math That Makes AI Tick

When most educators teach about artificial intelligence, the goal is to help students use an existing technology, like ChatGPT or a bot integrated into an online program. But Clayton Dagler wants his ...
IEEE

Non-Negative Matrix Factorization and Latent Semantic Analysis for Hybrid Feature Selection: A Proposed Machine Learning System for the Detection of Malicious Executable Files

Abstract: During a typical cyber-attack lifecycle, several key phases are involved, including footprinting and reconnaissance, scanning, exploitation, and covering tracks. The successful delivery of a ...
Chicago Tribune

Homeschool confidently with top-rated math learning tools

Which math learning materials are best? Learning and teaching math can be challenging, especially when you’re homeschooling. To help your children acquire the knowledge base they need to stay on track ...
Scientific Research Publishing

Haegeman, J., Cirac, J.I., Osborne, T.J. and Verstraete, F. (2013) Calculus of Continuous Matrix Product States. Physical Review B, 88, Article 085118.

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...
marktechpost

RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...