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AI Gets Physical: New NVIDIA NIM Microservices Bring Generative AI to Digital Environments

NVIDIA

NVIDIA announced at SIGGRAPH generative physical AI advancements including the NVIDIA Metropolis reference workflow for building interactive visual AI agents and new NVIDIA NIM microservices that will help developers train physical machines and improve how they handle complex tasks.

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Modernizing mainframe applications with a boost from generative AI

IBM Journey to AI blog

With a lean set of commands, it shouldn’t be a complicated language for newer developers to learn or understand. And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline.

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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

Enterprise computer vision pipeline with Viso Suite We provide an overview of Emotion AI technology, trends, examples, and applications: What is Emotion AI? How does visual AI Emotion Recognition work? Facial Emotion Recognition Datasets What Emotions Can AI Detect? Get a personalized demo for your organization.

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5 Ways AI Created Smarter Spaces in 2023

NVIDIA

With all the talk of how generative AI is going to change the world, it’s worth looking back on how AI’s already enabled leaps and bounds. NVIDIA helped automate airport operations, vehicle manufacturing, industrial inspections and more with AI to create smarter spaces in 2023. How’s that for a smarter workspace.

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Simon Randall, CEO and Co-Founder of Pimloc – Interview Series

Unite.AI

How does Secure Redact leverage AI to automate the redaction of personal and sensitive data in video footage? Secure Redact uses advanced machine learning and computer vision techniques to recognize and redact personally identifiable information (PII) in various image and video contexts, such as faces and license plates.

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Computer Vision For The Restaurant Industry (2023 Guide)

Viso.ai

In the following, we discuss the vast potential of computer vision for restaurant innovation use cases and show how AI is shaping the future of the restaurant industry. Need for Automation in the Restaurant Industry In today’s fast-paced and highly competitive gastronomy landscape, restaurant businesses face a multitude of challenges.

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Showcasing the Power of AI in Investment Management: a Real Estate Case Study

DataRobot Blog

What would happen if an automated intelligence machine approach could process and understand all this increasingly massive multimodal data through the lens of a real estate player and use it to obtain quick actionable insights ? Automating and optimizing their investment strategy. Rapid Modeling with DataRobot AutoML.