EE World Online

How does the IEEE MagNet Challenge use AI for power magnetics modeling?

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using ...

Building trust in the future of quantum computing

Quantum computers could solve certain problems that would take traditional classical computers an impractically long time to solve. At the Japan Advanced Institute of Science and Technology (JAIST), ...
Northeast Now

Interview: The Meridian Dialogue in conversation with Rinita Datta, Marketing Director, Splunk

In an age where market leadership depends as much on systems thinking and technological fluency as on creativity and human ...

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...
Scientific Research Publishing

Mid-Term Forecasting of Electricity Demand with Multiple Seasonal Cycles ()

Energy Forecasting, Electricity, Renewable Energy, Energy Planning, Demand Smoothing Share and Cite: Mishra, S. , Sharma, M. and Avittathur, B. (2026) Mid-Term Forecasting of Electricity Demand with ...