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MIT and The AI Institute have developed an algorithm called 'Estimate, Extrapolate, and Situate' (EES) that enables robots to practice skills independently in unfamiliar environments. This approach allows robots to enhance their abilities without the need for human guidance, promoting autonomous learning. The initiative is part of a broader effort to advance robotics and artificial intelligence technologies.
Automated construction of cognitive maps with predictive coding #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics https://t.co/xWGu21zCyQ
AI tool outperforms existing x-ray structure methods #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics https://t.co/yMRyTBDw3l
The phrase “practice makes perfect” is usually reserved for humans, but it’s also a great maxim for robots newly deployed in unfamiliar environments. https://t.co/oBCZPoutGY Image/video credits: @MITCSAIL #robotics #AI #machinelearning #tech #engineering #innovation #robots https://t.co/YHmGUE4Sbb
