Hybrid AI-powered computer vision combines physics and big data
Researchers have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques. The study offered an overview of a hybrid methodology designed to improve how AI-based machinery sense, interact and respond to its environment in real time — as in how autonomous vehicles move and maneuver, or how robots use the improved technology to carry out precision actions.
Researchers from UCLA and the United States Army Research Laboratory have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques.
The promise of quantum computing is to solve unsolvable problems. And companies are already making headway with hybrid approaches — those that combine classical and quantum computing — to tackle challenges like drug discovery for incurable diseases. By accelerating drug molecule simulation and modeling with hybrid quantum computing, startup Qubit…