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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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The Open Worldwide Application Security Project (OWASP) has recently introduced a new standard for securely discovering AI agents. Inspired by DNS, the Agent Name Service (ANS) provides a protocol-agnostic registry mechanism that uses Public Key Infrastructure (PKI) to establish agent identity and trust.
By Sergio De SimoneAmazon has recently announced the general availability of Amazon Aurora DSQL, a PostgreSQL-compatible, serverless, and distributed database. The new managed service is designed to support active-active high availability and multi-region strong consistency.
By Renato LosioAWS has launched open-source Model Context Protocol (MCP) servers on GitHub to supercharge AI development within Amazon ECS, EKS, and Serverless environments. These specialized tools equip developers with real-time, context-specific insights, enhancing application deployment, troubleshooting, and operational efficiency. Empower your cloud experience today!
By Steef-Jan WiggersIn this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Sergii Gorbachov, a staff engineer at Slack, about how they successfully used AI combined with traditional coding approaches to migrate 20,000 tests in 10 months, discovering that AI alone was insufficient and required human oversight and conventional tools to work effectively.
By Sergii GorbachovThe .NET team has released version 9.3 of .NET Aspire, introducing updates across diagnostics, integrations, and deployment workflows. As stated in the official announcement, this release aims to improve the developer experience by integrating GitHub Copilot into the Aspire dashboard, expanding tracing capabilities, and simplifying Azure deployments.
By Almir Vuk
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