This, in turn, opens up a new research direction for both the theory and applications of machine learning. Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, ...

This aligns with the results found in the paper. The results on the right show the performance of DDQN and algorithm Stochastic NNs for Hierarchical Reinforcement Learning (SNN-HRL) from Florensa et ...

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...

Researchers have combined artificial intelligence and EEG brain activity data to better understand the Other-Race Effect (ORE), where people recognize faces of their own race more accurately than ...

NVIDIA continues to push the boundaries of open AI development by open-sourcing its Open Code Reasoning (OCR) model suite — a trio of high-performance large language models purpose-built for code ...