The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
AlphaGalileo

Bridging physics and AI for smarter soil moisture mapping across China

Soil moisture is a key factor driving the Earth’s water and carbon cycles, but large-scale monitoring has long been hindered ...
Scientific Research Publishing

A New Evolving Technology for Gearbox Condition Monitoring and Fault Diagnosis ()

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...
Security Boulevard

How Quantum Computing Will Transform Data Security, AI, and Cloud Systems

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...
Business Insider

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

BEIJING, Oct. 23, 2025 (GLOBE NEWSWIRE) -- BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology ...
GEN

Beyond Folding: Machine Learning Designs Intrinsically Disordered Proteins

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...
Yahoo! Sports

'The Smashing Machine' review: Dwayne Johnson pulls it off in one of the best MMA films ever made

If the film earns awards consideration in no other categories, “The Smashing Machine” should at least get a nod or two for wardrobe. The late 1990s and early 2000s were a hell of a time for men’s ...
Frontiers

Evaluating machine learning models for stroke prediction based on clinical variables

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
JSTOR Daily

Scalable statistical inference for averaged implicit stochastic gradient descent

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...
Hosted on MSN

Linear Regression with Gradient Descent | Machine Learning Made Simple

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Machine Design

Optimizing Machine Performance with Variable Frequency Drives

A grouping of Mitsubishi Electric’s AC drives or variable frequency drives (VFDs). In the competitive landscape of machine design, engineers in food, pharmaceutical and manufacturing sectors face the ...