A research team from the Skoltech AI Center proposed a new neural network architecture for generating structured curved ...

As demand for high-performance compute explodes, a new class of infrastructure players is emerging to serve the AI frontier ...

DLSS (Deep Learning Super Sampling) is an AI upscaling technology formally exclusive to Nvidia's GeForce RTX graphics cards. The technology uses AI to improve performance in real time and offers ...

A deep learning solution based on Phasor Measurement Unit (PMU) image data detection for smart grid faults is presented in this work. The proposed method achieves accurate and efficient fault ...

Deep learning and smart grid cybersecurity based on decentralization provide a bright outlook, as they enhance the detection of anomaly cases and potential threats while also increasing the overall ...

To meet these demands, the paper advocates for the widespread adoption of reinforcement learning techniques, particularly deep and multi-agent RL, as a viable path toward achieving intelligent, ...

The proposed system features a deep reinforcement learning agent as the leader, targeting optimal HEM solutions, while the follower aims to find the optimal trading strategy for prosumers in an ...

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 ...