Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
Abstract: Existing model predictive control (MPC) methods lack online learning capability in complex environments. Reinforcement learning (RL) requires a lot of data and computing resources to obtain ...
Abstract: The utilization of Direct Current (DC) railway systems is increasingly prevalent, as it constitutes the majority of urban tram power supply systems. Despite their high efficiency, the risk ...
Technical diagrams should be clear and precise in education, engineering, product development and in instructional material. They assist in the process of ...
A research team from NIMS, Tohoku University and AIST has developed a new technique for controlling the nanostructures and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback