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NetworkX accelerated by NVIDIA cuGraph is a newly released backend co-developed with the NetworkX team. NVIDIA cuGraph provides GPU acceleration for popular…
NetworkX accelerated by NVIDIA cuGraph is a newly released backend co-developed with the NetworkX team. NVIDIA cuGraph provides GPU acceleration for popular graph algorithms such as PageRank, Louvain, and betweenness centrality. Depending on the algorithm and graph size, it can significantly accelerate NetworkX workflows, up to 50x, even 500x over NetworkX on CPU. In this post…
The Automated Audio Captioning task centers around generating natural language descriptions from audio inputs. Given the distinct modalities between the input…
The Automated Audio Captioning task centers around generating natural language descriptions from audio inputs. Given the distinct modalities between the input (audio) and the output (text), AAC systems typically rely on an audio encoder to extract relevant information from the sound, represented as feature vectors, which a decoder then uses to generate text descriptions.
Large language models (LLMs) have been widely used for chatbots, content generation, summarization, classification, translation, and more. State-of-the-art LLMs…
Large language models (LLMs) have been widely used for chatbots, content generation, summarization, classification, translation, and more. State-of-the-art LLMs and foundation models, such as Llama, Gemma, GPT, and Nemotron, have demonstrated human-like understanding and generative abilities. Thanks to these models, AI developers do not need to go through the expensive and time consuming training…
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What Is Agentic AI?
AI chatbots use generative AI to provide responses based on a single interaction. A person makes a query and the chatbot uses natural language processing to reply. The next frontier of artificial intelligence is agentic AI, which uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems. And it’s set to enhance productivity
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Physical AI-powered robots need to autonomously sense, plan, and perform complex tasks in the physical world. These include transporting and manipulating…
Physical AI-powered robots need to autonomously sense, plan, and perform complex tasks in the physical world. These include transporting and manipulating objects safely and efficiently in dynamic and unpredictable environments. Robot simulation enables developers to train, simulate, and validate these advanced systems through virtual robot learning and testing. It all happens in physics…
Multimodal sensor calibration is critical for achieving sensor fusion for robotics, autonomous vehicles, mapping, and other perception-driven applications….
Multimodal sensor calibration is critical for achieving sensor fusion for robotics, autonomous vehicles, mapping, and other perception-driven applications. Traditional calibration methods, which rely on structured environments with checkerboards or targets, are complex, expensive, time-consuming, and don’t scale. An automatic sensor calibration solution that simplifies the calibration…