Beamr Issues Annual CEO Letter to Shareholders: From Validation to Execution in AI Video

In 2026, Beamr plans to build the foundations of its long-term growth by further developing solutions for video data in AI systems - both for ...
Morning Overview on MSN

World-first quantum-inspired optimizer now rides on a mobile robot

Engineers at Toshiba and MIRISE report embedding a quantum-inspired optimization system directly onto a mobile robot, ...

Telecom’s AI Shift: Carriers Are Building Agentic Networks For The 6G Era

From RAN optimization to agentic AI integration, telecom operators are transforming networks into self-directed, intelligent infrastructure powered by AI.

Machine Learning Trends For 2026

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

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 ...
C&EN

Machine Learning-Based Optimization of Thermodynamic Performance of Combustion Processes in a Cement Manufacturing Plant

Department of Chemical Engineering, School of Chemical and Materials Engineering, National University of Sciences and Technology, H-12, Islamabad 44000, Pakistan Department of Chemical Engineering, ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Frontiers

Clinical validation and optimization of machine learning models for early prediction of sepsis

Data were collected retrospectively from a cohort of 2,329 adult patients with positive bacteria cultures from a tertiary hospital in China between October 1, 2019 and September 30, 2020. Thirty six ...
marktechpost

Eliminating Fixed Learning Rate Schedules in Machine Learning: How Schedule-Free AdamW Optimizer Achieves Superior Accuracy and Efficiency Across Diverse Applications

Optimization theory has emerged as an essential field within machine learning, providing precise frameworks for adjusting model parameters efficiently to achieve accurate learning outcomes. This ...