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20 articles
World Action Models represent a breakthrough in robotics AI, enabling robots to predict how actions affect their environment using unlabeled visual data. This capability allows robots to simulate consequences before moving, significantly improving their planning and decision-making abilities.
Learn how Lighthouse Attention speeds up AI training on long inputs by selectively focusing on important information, without sacrificing accuracy.
Learn how to implement and experiment with the Aurora optimizer that fixes neuron death problems in neural network training.
This article explains the mathematical foundations and mechanisms of neural networks, the core architecture underlying modern AI systems. You'll learn how neural networks process information through layers of interconnected nodes and how they learn from data.
Learn how NVIDIA's Star Elastic technology packs multiple AI models into one file, making AI more efficient and accessible. This new method trains models of different sizes together, saving time and resources while improving performance.
This explainer explores how generative AI creates music through deep learning models, examining the technical architecture, legal implications, and industry disruption this technology brings to the music sector.
Learn how artificial intelligence and brain imaging are used to decode language from brain signals, with practical applications in understanding the brain and helping people with communication disorders.
This explainer explores the convergence of AI and robotics, examining how machine learning systems are integrated into physical robots to enable autonomous decision-making and complex task execution in real-world environments.
A new AI model, LPM 1.0, can generate 45-minute lip-synced videos from a single photo in real time, marking a major advancement in digital avatar technology.
This article explains how sigmoid and ReLU activation functions affect geometric context preservation in neural networks, and why this matters for inference accuracy.
Learn to build a complete model optimization pipeline using NVIDIA Model Optimizer with FastNAS pruning and fine-tuning techniques. This beginner-friendly tutorial walks you through training, pruning, and fine-tuning a ResNet model on CIFAR-10 dataset.
Autonomous vehicle data management startup Nomadic has raised $8.4 million to develop AI tools that transform raw video footage into structured, searchable datasets. The company's deep learning models address a critical bottleneck in autonomous vehicle development by converting massive unstructured data streams into actionable insights for developers and manufacturers.
