Morning Overview on MSN

Machine learning is turbocharging cheap lithium-ion battery design

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Big Easy SEO Reaches 22-Year Milestone in Digital Marketing Services

NEW ORLEANS, LA - January 30, 2026 - PRESSADVANTAGE - Big Easy SEO has completed 22 years of operations in the digital ...

OpenAI says new coding model helped build itself

The new coding model released Thursday afternoon, entitled GPT-5.3-Codex, builds on OpenAI’s GPT-5.2-Codex model and combines insights from the AI company’s GPT-5.2 model, which excels on non-coding ...
Tech Xplore

A mathematical framework for optimizing robotic joints

Consider the marvelous physics of the human knee. The largest hinge joint in the body, it has two rounded bones held together ...

The Ultimate Guide to Checkout Optimization for Ecommerce Teams

Reduce abandonment, increase AOV, and scale checkout reliability with UX, payments, performance, and testing best practices.
IEEE

Adaptive Optimization and Planning Design Method for DC Distribution Grid System Based on Optical Storage Direct and Flexible Constructed Cluster

Abstract: The topology design of DC distribution networks has a natural advantage in accommodating distributed DC power sources such as photovoltaic (PV) and energy storage systems, which is one of ...
IEEE

IPLAM: A High-Dimensional Expensive Simulation Optimization Method, With Application to Design Space Exploration in Processor

Abstract: Design Space Exploration (DSE) in processors is an expensive discrete simulation optimization problem. The data requirements of the regular data-driven methods are so large that it is ...
Semiconductor Engineering

Predictable Design Optimization And Closure With Adaptive Scenario Compression

Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in ...
Drexel University

New AI Method Helps Engineers Design Better Parts From the Inside Out

Rendered model showing a complex 3D structure made up of thousands of repeating microscopic patterns. By teaching an AI model to predict the behavior of these patterns, the Drexel team can design ...
Scientific Research Publishing

Sohrabi, M.K. and Azgomi, H. (2020) A Survey on the Combined Use of Optimization Methods and Game Theory. Archives of Computational Methods in Engineering, 27, 59-80.

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Scientific Research Publishing

Adby, P. (2013) Introduction to Optimization Methods. Springer Science & Business Media.

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...