How Amazon is using less, doing more, and investing where it counts—at scale. Amazon’s operations span nearly every inch of… ...

Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering ...

Using quantitative Z-Score analysis, optimized Emerging Market ETF portfolios tailored for balanced, aggressive, and defensive investor profiles are constructed. The iShares Emerging Markets ...

Abstract: This paper presents an optimization study for a grid-connected hybrid energy system combining wind, solar PV, and a battery energy storage system (BESS) for hydrogen production. To address ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...

In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...

This is the Julia core framework of IESopt. For a more information and the more beginner-friendly Python wrapper, check out the iesopt repository. IESopt (Integrated Energy System Optimization) is a ...