Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

This seminar is part of the Research Semester Programma 'Democratizing real-world problem tailored optimization '.

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on ...

Evertune's new feature allows advertisers to run programmatic ad campaigns directly on the sites and pages most often cited by AI chatbots.

Improving density in circuit design is an ongoing challenge. One solution is to reconsider circuit layouts from the perspective of bandwidth optimization.

DeepMind's Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep ...

"Men no longer view aesthetic treatments as vanity but as optimization, similar to fitness, grooming or skincare," one ...

Hydrogen bubbles sometimes stick on cathodes and oscillate before being released, reducing the efficiency of water splitting.

Execution phase advances quantum-enabled approaches designed to improve energy grid efficiency, resilience, and operational ...

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

According to Gardon, burnout should be understood as an outcome of prolonged work without control over time and attention. The book presents this perspective as a reinterpretation of workplace value ...

Ramakrishna Garine is a logistics transformation expert who leverages Python-based automation and integrated analytics to eliminate manual inefficiencies, recovering hundreds of thousands in costs and ...