Abstract: This study addresses the critical need for effective rehabilitation monitoring for individuals with gait issues through the integration of interpretable artificial intelligence (AI) models.
Misdiagnosis remains a substantial patient safety challenge. Harmful diagnostic errors are estimated to occur in one in every 14 patients presenting to general medical hospitals.1 Generative ...
The same thing happens to teams, even high-performing ones. In fact, if you don’t actively work to routinely update your ...
4d
Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs
The new framework sidesteps costly and risky real-world rollouts by generating synthetic training data, making powerful ...
Abstract: This paper aims to develop the RBFNN-based data-driven fast terminal sliding mode control for nonlinear multiagent systems (MASs) subjected to unknown uncertainties and external disturbances ...
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