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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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Software sustainability includes computing for environmental purposes and using resources appropriately. According to Coral Calero, software engineers need a holistic way of looking at software and should be aware of the environmental impact of software. Several tools and frameworks are available for software engineers to do sustainable software development.
By Ben LindersClint Dovholuk reviews the three components of OpenZiti's architecture: controller, edge routers, and SDKs in addition to diving into the internal physical and logical architecture of OpenZiti.
By Clint DovholukJoni Collinge, Diagrid's Founding Software Engineer, presented at QCon London and discussed a case study on the evolutionary design and implementation of the Diagrid Cloud platform, which underpins Diagrid’s SaaS offerings.
By Steef-Jan WiggersDuring KubeCon EU the Mercedes Benz team presented their migration journey from Pod Security Policies to Validation Admission Policies to secure their 1000+ Kubernetes clusters. The solution was chosen in favour of Kyverno due to its improved performance.
By Olimpiu PopAt the Google Cloud Next 2024 event, Google announced the launch of Vertex AI Agent Builder, the public preview of Google's most advanced generative AI model, Gemini 1.5 Pro, and the addition of open-source language models to the Vertex AI platform.
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