New name better aligns with company's mission to help power the future of human performance The rebrand and new funding ...

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 ...

Wilmington, Delaware - February 02, 2026 - PRESSADVANTAGE - PSCI shared perspective on how artificial intelligence is ...

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

Abstract: Context: Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential ...

Written in Python, Freqtrade is a free, open-source crypto trading bot that works with all major exchanges and can be operated using Telegram or WebUI. It is great at automating tactics through ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

The Data Analysis Software Market was valued at USD 300 billion in 2024 and is projected to reach USD 500 billion by 2033, growing at a CAGR of 7.2% during the forecast period from 2026 to 2033. This ...

Abstract: Software fault prediction (SFP) is a critical aspect of software engineering aimed at improving software reliability and reducing maintenance costs. Hybrid machine learning approaches, which ...