Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing difficulties for ...
According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...
Investors Lightspeed, Index Ventures and Evantic bet on Fireworks as the infrastructure backbone for enterprise AI adoption. REDWOOD CITY, Calif.--(BUSINESS WIRE)--Fireworks AI, the AI inference cloud ...
Lightning, creators of PyTorch Lightning, today announced a suite of new tools built to accelerate distributed training, reinforcement learning, and experimentation for PyTorch developers and ...
Abstract: The rapid growth of wireless devices and bandwidth-intensive applications in urban environments has exacerbated spectrum congestion in Wi-Fi networks, resulting in performance degradation in ...
Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...
In this tutorial, we'll be creating artificially intelligent agents that learn from interacting with their environment, gathering experience, and a system of rewards with deep reinforcement learning ...
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