A neural network predictive control framework that jointly optimizes thermal comfort, daylighting, energy use, and life-cycle ...

Coal-fired power plants are among the most unforgiving environments for advanced control engineering. Their boilers, heaters, ...

Quant trading algorithms are not simply mechanisms for predicting price increases or decreases.They are systems that extract ...

Hierarchical world-model planning raised pick-and-place success from zero to seventy percent on a real Franka robot without ...

Predictive maintenance tools are gaining interest in data centers, but skills gaps, data quality and ROI concerns still slow ...

Alex Karp warns that predictive AI could potentially anticipate human behaviour and thoughts, raising questions about privacy ...

Addiction treatment produces data at every step. An intake assessment, a symptom score, a missed appointment, a medication ...

LP-FNO delivers full 3D melt-pool simulation up to 100,000 times faster than conventional multiphysics methods, enabling industrial digital twins and in-process optimization Terra Quantum, a global ...

Mobile robots operating in human-populated environments must navigate complex, multi-room spaces while ensuring safety, i.e., generating collision-free motion. In this study, we present a sensor-based ...

For decades, automotive recycling has been treated as a yard-based business: buy the vehicle, dismantle it, sell the usable parts, store what might move later and scrap the rest. That model still ...

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — but from algorithms. Dr. Robert Kissell. Kissel is the creator of ...

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...