Deep within the source code of this online multiplayer game lies an enigmatic number that puzzles and inspires experts to this day ...

Abstract: This article presents a novel reinforcement learning (RL)-based load frequency control (LFC) algorithm designed for Markov jump multiarea interconnected power systems (MJMIPSs). Existing LFC ...

1 School of Electrical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for Smart Grid Technologies, Vellore Institute of Technology, Chennai, India Introduction: Reliable ...

Buy Now, Pay Later (BNPL) surpasses checks to become fourth most accepted customer payment method, cryptocurrency gains favorability among merchants. Small businesses are more satisfied with payment ...

Apple is teaming up with Google to use Gemini models for an AI-powered Siri. Reports swirled in August that Apple was in early talks with the search giant to use a custom Gemini model to power a new ...

Abstract: Developing a coordinated optimal dispatch (COD) strategy for distribution systems (DS) and accessed microgrids (MGs) is one of the solutions to enhance the flexible operation of power ...

New research shows AI models that mimic human reasoning can be far more energy intensive, adding to concerns about AI's strain on power grids. AI reasoning models used 100 times more power on average ...

🔨 p3-minor-bugPriority 3: this fixes a bug, but is an edge case that only affects very specific usage.Priority 3: this fixes a bug, but is an edge case that only affects very specific usage.scope: ...

This past Sunday was an all-timer. While recording the MMQB podcast with Albert Breer this week, it took us nearly two hours to digest the entirety of the weekend. The two hours flew by, almost to the ...

Attendees walk between workshops at the Draft Animal Power Network's 2024 field days event. Credit: Carole Wiley for DAPNet Sign up for the Concord Monitor’s morning newsletter for essential news each ...

The topics of socialism, communism, and capitalism can be hard to describe to most people because of their complexities, definitive terms, and the purposeful vagueness that is attached to each. The ...

Recent work has shown that orthonormal matrix updates speed up neural network optimization, improve training stability, and offer better hyperparameter transfer across model sizes. Applying these ...