The artificial intelligence major is an interdisciplinary field that integrates knowledge from multiple disciplines. To excel ...

In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...

We are now seeing these processors arrive on the market, supported by software from manufacturers and their partners. This ...

Combined solution further automates cloud-based energy optimization and advances resilience, efficiency and operating costs for both new and existing microgrid deployments At RE+ 2025, Eaton to showca ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

ExlService has transformed into a digital-first, analytics-driven company, with over half of revenues from AI and analytics.

Achieving a high OEE score has been elusive in the past as processors grapple with where to begin in troubleshooting OEE ...

This review discusses how nonlinear optics and intelligent control techniques are advancing ultrafast laser technology, ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...