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IBM Watsonx - Wikipedia Watsonx is a platform by IBM for building and managing artificial intelligence (AI) applications for business use [2] Announced on May 9, 2023, the platform provides software tools and infrastructure for companies to work with both IBM's own AI models and models from third-party sources [1][3] The platform consists of three main components: watsonx ai, a studio for training, validating, and
Mila (research institute) - Wikipedia In December 2020, Mila teamed up with IBM to accelerate artificial intelligence (AI) and machine learning research using open-source technology in a bid to integrate the Quebec institute's open-source software, Oríon, with IBM's Watson Machine Learning Accelerator, an AI model training and inference tool that the tech giant offers to businesses
Chainer - Wikipedia Chainer is an open source deep learning framework written purely in Python on top of NumPy and CuPy Python libraries The development is led by Japanese venture company Preferred Networks in partnership with IBM, Intel, Microsoft, and Nvidia [4][5][6][7] Chainer is notable for its early adoption of "define-by-run" scheme, as well as its performance on large scale systems [1] The first
IBM Granite - Wikipedia IBM Granite is a series of decoder-only AI foundation models created by IBM [3] It was announced on September 7, 2023, [4][5] and an initial paper was published 4 days later [6]
IBM Watson - Wikipedia The high-level architecture of IBM's DeepQA used in Watson [9] Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering
Machine learning - Wikipedia Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions [1] Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms
Timeline of machine learning - Wikipedia Timeline of machine learning This page is a timeline of machine learning Major discoveries, achievements, milestones and other major events in machine learning are included
Qiskit - Wikipedia Qiskit (Quantum Information Software Kit) is an open-source, Python -based, high-performance software stack for quantum computing, originally developed by IBM Research and first released in 2017 It provides tools for creating quantum programs (by defining quantum circuits and operations) and executing them on quantum computers or classical simulators The name "Qiskit" refers broadly to a
List of datasets for machine-learning research - Wikipedia OpenML: [503] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms PMLB: [504] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms
Decision tree learning - Wikipedia Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations