A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous ...

To improve the conversion efficiency of the dual-active-bridge converter, this article demonstrates a variable-frequency triple-phase-shift (TPS) control strategy with the help of the deep ...

Model-based Vol/VAR optimization method is widely used to eliminate voltage violations and reduce network losses. However, the parameters of active distribution networks (ADNs) are not onsite ...

You’re the kind of person who notices the unspoken and offers a shoulder to lean on when words fail. In moments of crisis, ...

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At UiPath on Tour London, in his presentation and a detailed follow-up interview, Dr Ed Challis reveals why most ...

Key takeaways AI-powered crypto trading bots use machine learning to make smarter, faster trading decisions — without emotions. Setting up a bot involves choosing a platform, connecting your ...

Explore how forensic material testing is used to identify construction failures, prevent risk, and improve long-term ...

This code is primarily built upon deep reinforcement learning (DRL) to control turbulent Rayleigh-Bénard (R-B) convection, aiming to enhance heat transfer at the walls. The implementation consists of ...

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Transforming manufacturing, digital twins integrate AI and real-time data, optimizing processes and enabling proactive ...