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AI on the Menu: Yum! Brands and NVIDIA Partner to Accelerate Restaurant Industry Innovation

NVIDIA

s voice AI agents are already being deployed across its brands, including in call centers to handle phone orders when demand surges during events like game days. An expanded rollout of AI solutions at up to 500 restaurants is expected this year. Computer Vision and Restaurant Intelligence Beyond AI-accelerated ordering, Yum!

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10 Best JavaScript Frameworks for Building AI Systems (October 2024)

Unite.AI

As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js has revolutionized the way developers interact with LLMs in JavaScript environments.

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Explore How RTX AI PCs and Workstations Supercharge AI Development at NVIDIA GTC 2025

NVIDIA

A team of NVIDIA software engineers will also cover hardware-aware optimizations for ONNX Runtime, NVIDIA TensorRT and llama.cpp, helping developers maximize AI efficiency across GPUs, CPUs and NPUs. Developers and enthusiasts can get started with AI development on RTX AI PCs and workstations using NVIDIA NIM microservices.

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Exploring alternatives and seamlessly migrating data from Amazon Lookout for Vision

AWS Machine Learning Blog

Amazon Lookout for Vision , the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025. For an out-of-the-box solution, the AWS Partner Network offers solutions from multiple partners.

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Microsoft Azure Cognitive Services – API for AI Development

Analytics Vidhya

The post Microsoft Azure Cognitive Services – API for AI Development appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction In this post, we will see how to use the online.

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Synthetic Data: A Double-Edged Sword for the Future of AI

Unite.AI

This approach has driven significant advancements in areas like natural language processing, computer vision, and predictive analytics. However, as the availability of real-world data reaches its limits , synthetic data is emerging as a critical resource for AI development. Efficiency is also a key factor.

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The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them

Towards AI

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Key Contributions: Frameworks for fairness in multi-modal AI. And lets be real what a year it has been!