RTLS And Digital Twins: The Next Frontier Of Factory Optimization

As organizations consider the synergy of digital twins and RTLS for factory optimization, having a clear understanding of ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
MD&M East

The Year Medtronic Set an Example for Supply Chain Optimization

Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...
Polygon

Valve is cutting corners with Steam Machine to compete with the current consoles

Just how powerful will the Steam Machine be? Based on expert analysis of the specs revealed by Valve when it announced the Steam Machine on Wednesday, its new compact, console-like gaming PC is aimed ...
IGN

Steam Machine Hands-On: First Impressions of Valve’s New Console-Like Gaming PC

Steam Machines are back for the first time since Valve teamed up with manufacturers like Alienware and Lenovo back in the 2010s. But while those original console-PC hybrids failed because of a lack of ...
Gizmodo

Valve’s New Steam Machine Could Disrupt Console Gaming as We Know It

It's not a "GameCube" per se, but Valve's Steam Machine will bring your Steam library to your living room. Reading time 4 minutes Valve is entering the console race, and it’s doing so in the most ...
PC Gamer

Valve's new Steam Machine is a SteamOS-powered mini PC over six times faster than a Steam Deck

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Search Engine Land

What is LLMO? Optimize content for AI & large language models

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...
IEEE

Closed-Loop Parameter Optimization for Robotic Machining Using Physics-Informed Machine Learning and Multiobjective Optimization

Abstract: In practical applications, the simultaneous optimization of numerous design parameters in time-consuming multi-objective optimization experiments is recognized as a significant bottleneck ...
IEEE

Towards the Optimization of Hardware Efficiency through Machine Learning

Abstract: The growing complexity of applications combined with the need to execute them on resource-constrained platforms, demands highly efficient system-level optimization strategies. While ...
Frontiers

Optimization method of electric vehicle energy system based on machine learning

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...