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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 has unveiled the preview of its Network Firewall proxy, a managed service that optimizes proxy management and enhances outbound security for VPCs. Integrated with NAT Gateway, this tool inspects traffic through a three-phase model and supports both TLS interception and centralized models via Transit Gateway. Currently available in East Ohio.
By Steef-Jan Wiggers
Cloudflare has open-sourced tokio-quiche, an asynchronous QUIC and HTTP/3 Rust library that wraps its battle-tested quiche implementation with the Tokio runtime to simplify the development of high-performance QUIC applications. The library was used internally to back the edge services, the Oxy HTTP proxies or MASQUE-based tunnels replacing the Wireguard-based tunnels in the WARP client.
By Olimpiu Pop
To improve search and recommendation user experiences, Uber migrated from Apache Lucene to Amazon OpenSearch to support large-scale vector search and better capture search intent. This transition introduced several infrastructure challenges, which Uber engineers addressed with targeted solutions.
By Sergio De Simone
Beth Anderson discusses the "power distance index" and its critical role in communication. Using the Korean Air Flight 801 tragedy as a case study, she explains the dangers of hierarchy-driven silence. She shares actionable frameworks for building the 4 stages of psychological safety, implementing reverse mentoring, and using PRs as tools for knowledge sharing rather than gatekeeping.
By Beth Anderson
Uber’s Ceilometer framework automates infrastructure performance benchmarking beyond applications. It standardizes testing across servers, workloads, and cloud SKUs, helping teams validate changes, identify regressions, and optimize resources. Future plans include AI integration, anomaly detection, and continuous validation.
By Leela Kumili
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