
Researchers at Georgia Tech have developed a new neural network that mimics human decision-making by incorporating elements of uncertainty and evidence accumulation. This model, trained on handwritten digits, shows similar accuracy and response time to humans. The neural network could lead to more reliable AI systems, potentially impacting various fields such as autonomous vehicles and robotics. The research was highlighted by Neuroscience News and NatureHumBehav.





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A new neural network makes decisions like a human would #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics https://t.co/nRyy1PG1TP
AI method radically speeds predictions of materials’ thermal properties #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics https://t.co/x5AcNYxQ1o