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How Synthetic Training Data is Revolutionising the Manufacturing Industry

Is OCR Dead? Exploring the Potential of Synthetic Data

Enhancing retail experiences with synthetic training data

Securing Identities with Synthetic Data: How AI is Revolutionising Identity Document Recognition

Top Use Cases for Image and Video Synthetic Data

How data privacy concerns can become a thing of the past with synthetic documents

Road safety: How Synthetic Data is Driving Change in Smart Cities

ChatGPT: Striking a balance between innovation and responsible AI

Real world data sources, “NC” license use for commercial entities

When ‘Data Drift’ Sets In, Synthetic Data is the only solution for rapid responses

As Europe Legislates To Make AI Trustworthy, Synthetic Data Prepares To Play A Crucial Role

Why AI doesn’t see the world like us — and what that means for training data

Is a single category for Synthetic Data in Gartner’s Hype Cycle appropriate?

Accelerating Time to Market: How Synthetic Data can alleviate the waiting time for annotated data

How To Boot Out Irrelevant Training Data for Visual AI — Intelligent Data Engineering

What’s the ideal mix of Synthetic and Real Data to boost AI Accuracy?

Using Synthetic Data to resolve common problems for training visual AI’s

Looking into 2023: 3 challenges facing the AI industry

Mindtech @ CES2020

MIndtech CES2020 demos

Mindtech Introduce Chameleon Synthetic Data Generator and AI Tools for Effective Training of AI-Based Solutions

Mindtech Global Ltd, a UK based start-up, has announced the availability of Mindtech Chameleon Simulator, creating synthetic vision datasets for training neural networks, and Mindtech Chameleon AI Tools, providing end to end data management for deep learning systems.