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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.
RaptorX. remote homology detection, protein 3D modeling, binding site prediction. Automated webserver and Downloadable program. Biskit. wraps external programs into automated workflow. BLAST search, T-Coffee alignment, and MODELLER construction. ESyPred3D. Template detection, alignment, 3D modeling. Automated webserver.
Glossary. v. t. e. AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. [ 1] The program is designed as a deep learning system. [ 2] AlphaFold software has had three major versions. A team of researchers that used AlphaFold 1 (2018) placed first in ...
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.
Biopython development began in 1999 and it was first released in July 2000. [ 7] It was developed during a similar time frame and with analogous goals to other projects that added bioinformatics capabilities to their respective programming languages, including BioPerl, BioRuby and BioJava. Early developers on the project included Jeff Chang ...
Pythonis a high-level, general-purpose programming languagethat is popular in artificial intelligence.[1] It has a simple, flexible and easily readable syntax.[2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX.
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.