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TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. [3] [4] It was developed by the Google Brain team for Google's internal use in research and production.
Open Bioinformatics Foundation. BioPHP. PHP language toolkit with classes for DNA and protein sequence analysis, alignment, database parsing, and other bioinformatics tools. Cross-platform. GPL v2. Open Bioinformatics Foundation. Biopython. Python language toolkit. Cross-platform.
The initial scope of Biopython involved accessing, indexing and processing biological sequence files. While this is still a major focus, over the following years added modules have extended its functionality to cover additional areas of biology (see Key features and examples ). As of version 1.77, Biopython no longer supports Python 2.
Business Intelligence - Generative BI. Generative BI [ 67] refers to the application of generative AI techniques, like Large Language Models (LLMs), in business intelligence. This combination accelerates the development of advanced models, automates data analysis, and facilitates the generation of actionable insights.
GitHub Copilot is a code completion tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code. [ 1] Currently available by subscription to individual developers and to businesses, the generative artificial intelligence ...
OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [ 1] Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.
The announcement of Replit AI's public release states, "Replit will become a synonym of AI for software creators -- only then we will have accomplished our mission." [28] Replit's FAQ states the algorithms were trained on public code. All public code hosted on Replit is subject to the MIT license and may be used to train machine learning models ...
Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology. It relates to connectionism, social behavior, and emergence. Within computer science, bio-inspired computing relates to artificial intelligence and machine learning.