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Algorithms

Out-of-Distribution Detection as a Risk-Control Strategy for Medical Classification Machine Learning Models

Recent advancements in artificial intelligence and machine learning algorithms have significantly broadened their scope of application, including high-stakes medical contexts. However, the use of these algorithms in medical settings requires stringent guardrails to ensure their performance. Researchers from the U.S. Food and Drug Administration (FDA) have assessed the performance

Robotics

Human-Assisted Reinforcement Learning Enhances Robotic Disassembly Efficiency

Researchers at Mondragon University have successfully integrated human hints into reinforcement learning frameworks, significantly improving the adaptability and performance of disassembly tasks. The study reveals that manipulation generalization capabilities are enhanced when policies receive human hints regarding where to focus their actions. Employing force overlay types, such as Lissajous curves