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The Future of Marketing: How AI Agents Can Enhance Customer Journeys in Retail

AI agents — which can understand, adapt to and support each user’s unique journey — are making online shopping and digital marketing more efficient and personalized. Plus, these intelligent systems are poised to turn marketing interactions into valuable customer research data. In this episode of the NVIDIA AI Podcast, Jon Heller, co-CEO and founder of
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Into the Omniverse: OpenUSD Workflows Advance Physical AI for Robotics, Autonomous Vehicles

The next frontier of AI is physical AI. Physical AI models can understand instructions and perceive, interact and perform complex actions in the real world to power autonomous machines like robots and self-driving cars.  

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Hugging Face and FriendliAI partner to supercharge model deployment on the Hub

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Lessons Learned from Building an AI Sales Assistant

Decorative image of an AI sales assistant workflow with icons.At NVIDIA, the Sales Operations team equips the Sales team with the tools and resources needed to bring cutting-edge hardware and software to market. Managing…Decorative image of an AI sales assistant workflow with icons.

At NVIDIA, the Sales Operations team equips the Sales team with the tools and resources needed to bring cutting-edge hardware and software to market. Managing this across NVIDIA’s diverse technology is a complex challenge shared by many enterprises. Through collaboration with our Sales team, we found that they rely on internal and external documentation…

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NoTraffic Reduces Road Delays, Carbon Emissions With NVIDIA AI and Accelerated Computing

More than 90 million new vehicles are introduced to roads across the globe every year, leading to an annual 12% increase in traffic congestion — according to NoTraffic, a member of the NVIDIA Inception program for cutting-edge startups and the NVIDIA Metropolis vision AI ecosystem. Still, 99% of the world’s traffic signals run on fixed
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Introducing New KV Cache Reuse Optimizations in NVIDIA TensorRT-LLM

Language models generate text by predicting the next token, given all the previous tokens including the input text tokens. Key and value elements of the…

Language models generate text by predicting the next token, given all the previous tokens including the input text tokens. Key and value elements of the previous tokens are used as historical context in LLM serving for generation of the next set of tokens. Caching these key and value elements from previous tokens avoids expensive recomputation and effectively leads to higher throughput. However…

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NVIDIA JetPack 6.2 Brings Super Mode to NVIDIA Jetson Orin Nano and Jetson Orin NX Modules

Stylized image of JetPack connected to a monitor.The introduction of the NVIDIA Jetson Orin Nano Super Developer Kit sparked a new age of generative AI for small edge devices. The new Super Mode delivered an…Stylized image of JetPack connected to a monitor.

The introduction of the NVIDIA Jetson Orin Nano Super Developer Kit sparked a new age of generative AI for small edge devices. The new Super Mode delivered an unprecedented generative AI performance boost of up to 1.7x on the developer kit, making it the most affordable generative AI supercomputer. JetPack 6.2 is now available to support Super Mode for Jetson Orin Nano and Jetson Orin NX…

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AI Uncovers Potentially Hazardous, Forgotten Oil and Gas Wells

An illustration of an Undocumented Orphaned Well.With as many as 800,000 forgotten oil and gas wells scattered across the US, researchers from Lawrence Berkeley National Laboratory (LBNL), have developed an AI…An illustration of an Undocumented Orphaned Well.

With as many as 800,000 forgotten oil and gas wells scattered across the US, researchers from Lawrence Berkeley National Laboratory (LBNL), have developed an AI model capable of accurately locating these wells at scale—ones that may be leaking toxic chemicals and greenhouse gases, like methane, into the environment. The model is designed to identify many of the roughly 3.7M oil and gas wells…

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Accelerating Time Series Forecasting with RAPIDS cuML

Time series forecasting is a powerful data science technique used to predict future values based on data points from the past Open source Python libraries like…

Time series forecasting is a powerful data science technique used to predict future values based on data points from the past Open source Python libraries like skforecast make it easy to run time series forecasts on your data. They allow you to “bring your own” regressor that is compatible with the scikit-learn API, giving you the flexibility to work seamlessly with the model of your choice.

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NVIDIA Releases NIM Microservices to Safeguard Applications for Agentic AI

AI agents are poised to transform productivity for the world’s billion knowledge workers with “knowledge robots” that can accomplish a variety of tasks. To develop AI agents, enterprises need to address critical concerns like trust, safety, security and compliance. New NVIDIA NIM microservices for AI guardrails — part of the NVIDIA NeMo Guardrails collection of
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