Restaurants / Quick-Service – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-17T06:00:00Z http://www.open-lab.net/blog/feed/ Sirisha Rella <![CDATA[Speech AI Technology Enables Natural Interactions with Service Robots]]> http://www.open-lab.net/blog/?p=59175 2023-06-12T08:17:08Z 2022-12-17T00:23:07Z From taking your order and serving you food in a restaurant to playing poker with you, service robots are becoming increasingly prevalent. Globally, you can...]]> From taking your order and serving you food in a restaurant to playing poker with you, service robots are becoming increasingly prevalent. Globally, you can...

From taking your order and serving you food in a restaurant to playing poker with you, service robots are becoming increasingly prevalent. Globally, you can find these service robots at hospitals, airports, and retail stores. According to Gartner, by 2030, 80% of humans will engage with smart robots daily, due to smart robot advancements in intelligence, social interactions��

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Dave Niewinski <![CDATA[Low-Code Building Blocks for Speech AI Robotics]]> http://www.open-lab.net/blog/?p=55065 2023-11-03T07:15:08Z 2022-09-22T18:33:00Z When examining an intricate speech AI robotic system, it��s easy for developers to feel intimidated by its complexity. Arthur C. Clarke claimed, ��Any...]]> When examining an intricate speech AI robotic system, it��s easy for developers to feel intimidated by its complexity. Arthur C. Clarke claimed, ��Any...

When examining an intricate speech AI robotic system, it��s easy for developers to feel intimidated by its complexity. Arthur C. Clarke claimed, ��Any sufficiently advanced technology is indistinguishable from magic.�� From accepting natural-language commands to safely interacting in real-time with its environment and the humans around it, today��s speech AI robotics systems can perform tasks to��

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Stephanie Rubenstein <![CDATA[Building Cloud-Native, AI-Powered Avatars with NVIDIA Omniverse ACE]]> http://www.open-lab.net/blog/?p=55365 2023-10-25T23:52:50Z 2022-09-21T15:30:00Z Explore the AI technology powering Violet, the interactive avatar showcased this week in the NVIDIA GTC 2022 keynote. Learn new details about NVIDIA Omniverse...]]> Explore the AI technology powering Violet, the interactive avatar showcased this week in the NVIDIA GTC 2022 keynote. Learn new details about NVIDIA Omniverse...

Explore the AI technology powering Violet, the interactive avatar showcased this week in the NVIDIA GTC 2022 keynote. Learn new details about NVIDIA Omniverse Avatar Cloud Engine (ACE), a collection of cloud-native AI microservices for faster, easier deployment of interactive avatars, and NVIDIA Tokkio, a domain-specific AI reference application that leverages Omniverse ACE for creating fully��

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Sirisha Rella <![CDATA[Essential Guide to Automatic Speech Recognition Technology]]> http://www.open-lab.net/blog/?p=51263 2023-06-12T09:10:15Z 2022-08-08T21:30:00Z Over the past decade, AI-powered speech recognition systems have slowly become part of our everyday lives, from voice search to virtual assistants in contact...]]> Over the past decade, AI-powered speech recognition systems have slowly become part of our everyday lives, from voice search to virtual assistants in contact...

Over the past decade, AI-powered speech recognition systems have slowly become part of our everyday lives, from voice search to virtual assistants in contact centers, cars, hospitals, and restaurants. These speech recognition developments are made possible by deep learning advancements. Sign up for the latest Data Science news. Get the latest announcements, notebooks, hands-on tutorials��

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Akhil Docca <![CDATA[Simplify AI Model Development with the Latest TAO Toolkit Release]]> http://www.open-lab.net/blog/?p=48256 2023-06-12T09:33:04Z 2022-06-06T16:00:00Z Today, NVIDIA announced the general availability of the latest version of the TAO Toolkit. As a low-code version of the NVIDIA Train, Adapt and Optimize (TAO)...]]> Today, NVIDIA announced the general availability of the latest version of the TAO Toolkit. As a low-code version of the NVIDIA Train, Adapt and Optimize (TAO)...

Today, NVIDIA announced the general availability of the latest version of the TAO Toolkit. As a low-code version of the NVIDIA Train, Adapt and Optimize (TAO) framework, the toolkit simplifies and accelerates the creation of AI models for speech and vision AI applications. With TAO, developers can use the power of transfer learning to create production-ready models customized and optimized��

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Amanda Saunders <![CDATA[Building an Edge Strategy: Cost Factors]]> http://www.open-lab.net/blog/?p=46137 2023-06-12T20:53:22Z 2022-04-06T16:00:00Z The growth in Internet of Things (IoT) and enterprise adoption of AI has led to a renewed focus on edge computing. Organizations are looking to capitalize on...]]> The growth in Internet of Things (IoT) and enterprise adoption of AI has led to a renewed focus on edge computing. Organizations are looking to capitalize on...

The growth in Internet of Things (IoT) and enterprise adoption of AI has led to a renewed focus on edge computing. Organizations are looking to capitalize on the data these IoT devices produce at the edge and solve challenges that were previously impossible with centralized data centers or cloud computing. When combined edge computing and AI, also known as edge AI, is used for real-time��

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Carol McDonald <![CDATA[How to Build a Winning Recommendation System, Part 1]]> http://www.open-lab.net/blog/?p=30759 2024-11-22T20:10:03Z 2021-04-26T21:46:31Z Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video...]]> Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video...

Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video streaming. However with their growth in importance, the growth in scale of industry datasets, and more sophisticated models, the bar has been raised for computational resources required for recommendation systems. After NVIDIA introduced Merlin��

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