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The ability to Interpret image data using software is advancing fast! The two images above are captioned with program generated text. Here's an article that describes concepts and an approach to generate a caption for an image. The code is written in Python and uses TensorFlow.
How to build and train an image caption generator using a TensorFlo...
"TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well." Here's a TensorFlow tutorial.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Tracy Bannon's QCon AI NY 2025 talk revealed how the rise of AI agents risks amplifying common architectural failures. She emphasized the distinctions between bots, assistants, and agents, highlighting the need for governance, clear identity controls, and disciplined decision-making to address “agentic debt.” Bannon called for architects to apply foundational principles amid rapid AI adoption.
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