Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
The new toolkit integrates with Keysight’s device modeling software to automate parameter extraction and shorten compact-model and PDK development cycles.
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Meet llama3pure, a set of dependency-free inference engines for C, Node.js, and JavaScript Developers looking to gain a ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...
Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...