Smart Home Assistant integration for heat pump optimization based on electricity price and temperature. Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling ...

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 ...

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 ...

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 ...

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 ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Meta’s AI chief says new Muse Spark update will sharpen coding, agentic AI Alexandr Wang said the upcoming Muse Spark update will significantly improve coding and agentic capabilities, while analysts ...

Explore the latest news and expert commentary on Vulnerabilities & Threats, brought to you by the editors of Dark Reading ...

Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...

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