JPLoft advances enterprise automation with intelligent AI agents that streamline operations, enhance decision-making, ...

As AI continues to evolve, its capacity to innovate and optimize will further solidify its role as a cornerstone of modern ...

United States tightens chip exports. Chinese laboratories unveil competitive large language models. Analysts publish league ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

MyHomeQuote introduced Performance Prediction Algorithm, technology designed to move campaigns from reactive optimization to predictive performance management.

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

Asking an engineer to refactor a large, tightly coupled AI pipeline to test an idea is almost guaranteed to fail. Monoliths don’t optimize well either. You’ll spend more time (and money) iterating on ...

Abstract: This article proposes an efficient model-free predictive control (EMFPC) based on 2-D sector optimization using an adaptive ultralocal model to address model uncertainty and reduce ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...