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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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AWS Interconnect reached general availability, offering managed private Layer 3 connections to Google Cloud and a last-mile capability via Lumen. Azure and OCI support is planned for later in 2026. AWS published the underlying specification on GitHub under Apache 2.0, which Forrester analysts read as a play to set a de facto standard for multicloud connectivity.
By Steef-Jan Wiggers
GitHub has launched a native stacked pull request workflow through a new CLI extension called gh-stack, closing a gap that third-party tools have filled for several years. It aims to resolve the problem where large pull requests are hard to review, slow to merge and prone to conflicts, with GitHub stating that reviewers lose context, feedback quality drops, and the whole team slows down.
By Matt Saunders
AWS has introduced the public preview of OpenTelemetry metrics support in Amazon CloudWatch. This update allows developers to send metrics directly to CloudWatch using the OpenTelemetry protocol and view them alongside existing AWS service metrics.
By Renato Losio
To sustain productivity in long-running agent systems, Slack engineers moved away from accumulating chat logs and started using structured memory, validation, and distilled truth to maintain coherence and accuracy of long-running agent systems.
By Sergio De Simone
Google Cloud has introduced Agents CLI within its Agent Platform, aiming to streamline the development lifecycle of AI agents from local prototyping to production deployment. The release targets a common challenge in agent development, where tooling and infrastructure are often fragmented across multiple services and environments.
By Robert Krzaczyński
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