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Javascript

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From The Field: A Programming Requirement for Structural Analysis Computations. To Java or To Javascript.

When it comes to choosing a programming language for a project involving structural analysis computations, both Java and NodeJS have their own advantages and disadvantages. Here are some pros and cons for using each language: Java: Pros: – Strong object-oriented programming capabilities. – High performance and scalability, making it suitable for large-scale projects. – Cross-platform compatibility, meaning that code written in Java can be run on multiple platforms. – Large community and ecosystem, with plenty of libraries and tools available for use. – Extensive support for multi-threading, which can be useful for parallel computations. Cons: – Can be verbose and…
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Bard Now Helps You Code

Since we launched Bard, our experiment that lets you collaborate with generative AI, coding has been one of the top requests we’ve received from our users. As a product lead in Google Research — and a passionate engineer who still programs every day — I’m excited that today we’re updating Bard to include that capability. Starting now, Bard can help with programming and software development tasks, including code generation, debugging and code explanation. We’re launching these capabilities in more than 20 programming languages including C++, Go, Java, Javascript, Python and Typescript. And you can easily export Python code to Google Colab — no…
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TF Dev Summit ’19 | TensorFlow.js 1.0

TF Dev Summit ’19 | TensorFlow.js 1.0 TensorFlow.js A JavaScript library for training and deploying ML models in the browser and on Node.js. In this talk we highlight the major capabilities of the library as well as give a development update on the major changes since the project was launched in 2018. Speakers: Yannick Assogba, Front End Software Engineer Nick Kreeger, Software Engineer
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Google I/O 2019 | Machine Learning Magic for Your JavaScript Application

Google I/O 2019 | Machine Learning Magic for Your JavaScript Application TensorFlow.js is a library for training and deploying machine learning models in the browser and in Node.js and offers unique opportunities for JavaScript developers. In this talk, you will learn about the TensorFlow.js ecosystem: how to bring an existing machine learning model into your JS app, re-train the model using your data and go beyond the browser to other JS platforms. Come see live demos of some of our favorite and unique applications! Speakers: Yannick Assogba , Sandeep Gupta Session ID: T440E5 Citi I/O Aster.Cloud DotLAH!
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