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Google A2UI Explained: How AI Agents Build Secure, Native User Interfaces

We have entered the time of multi-agent artificial intelligence. However, there is a very important issue: in what way can remote AI agents produce rich and interactive experiences without exposing the system to security risks? Google A2UI (Agent-to-UI) protocol addresses this question in a very smart way, allowing agents to create user interfaces that are

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Build AI Agents with RapidAPI for Real-Time Data

Agent creation has become easier than ever but have you ever thought – how can we make them more powerful than they already are? I recently thought of one possible way – what if they had realtime information about specific categories like finance and movies. That would be really cool, right? While exploring this option,

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Build Your Own Open-Source Logo Detector: A Practical Guide to ACR, Embeddings & Vector Search

If you’ve ever watched a game and wondered, “How do brands actually measure how often their logo shows up on screen?” you’re already asking an ACR question. Similarly, insights like: are all powered by Automatic Content Recognition (ACR) technology. It looks at raw audio/video and figures out what is in it without relying on filenames,

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Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Isaac Gym offers a high performance learning platform to train policies for wide variety of robotics tasks directly on GPU. Both physics simulation and the neural network policy training reside on GPU and communicate by directly passing data from physics buffers to PyTorch tensors without ever going through any CPU bottlenecks. This leads to blazing

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Human Learn

Machine learning covers a lot of ground but it is also capable of making bad decision. We’ve also reached a stage of hype that folks forget that many classification problems can be handled by natural intelligence too. This package contains scikit-learn compatible tools that should make it easier to construct and benchmark rule based systems

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