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 ...

With each year’s edition, the International MTT-S Symposia proclaims consensus buzzwords that purport to point to the ...

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

Abstract: Multi-link operation (MLO) is a key feature introduced in the IEEE 802.11be (Wi-Fi 7) standard to support the quality of service (QoS) demands of emerging Internet of Things (IoT) wireless ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Solar cells and photocatalysts can be surprisingly inefficient. Despite light consisting of many wavelengths, the range that even highly efficient devices use is limited. Other wavelengths, especially ...

With its new OASIS 3.0 home energy management system (HEMS), unveiled at Intersolar 2026 in Munich last week, EcoFlow targets ...

The agri-food sector represents one of the largest global consumers of energy across its entire value chain—from cultivation ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Microsoft is reportedly preparing thousands of job cuts as AI spending rises, with sales, consulting, and Xbox among the areas expected to be affected. If you can only read one tech story a day, this ...