A real-world smart office study shows how neural network lighting control can reduce energy use and support adaptive building ...
Industry Veteran Brings Two Decades of Experience Driving Growth Through New Product Launches, Training and Education ...
Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...
A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...
AI language models can be secretly trained to steal credentials when triggered by a specific phrase. Here's what the research shows, why safety training can't stop it, and where the $414M AI security ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
Taking an invention and claiming it as yours is called intellectual property, based on practices followed by US and European businesses. But what happens when your neighbor argues that inventions ...
Spread the love“`html Artificial Intelligence (AI) has transcended its traditional role as a tool for human usage, evolving into a powerful force capable of creating and improving itself. This ...
Model-Free Predictive Current Control for PMSMs Based on a Physics-Informed Recurrent Neural Network
Abstract: Model-free predictive current control (MFPCC) based on the ultra-local model addresses the high parameter sensitivity characteristic of conventional model predictive current control (MPCC).
Abstract: Model Predictive Control (MPC) method is widely used in autonomous vehicle control technology. The adjustment of MPC weights is crucial for optimizing its control performance, ensuring ...
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