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  • Collective Tuning Center
    - Automating and accelerating code and architecture optimization using machine learning - Providing common repository to share optimization cases - Improving quality and reproducibility of research - Building future intelligent adaptive computing systems
    in Software > Reference with adaptive learning machine optimization research
  • is a community-driven collaborative Mediawiki-based portal that brings together industry, academia and IT users to optimize programs and architectures collectively and build smart self-tuning adaptive computing systems based on statistical and machine learning techniques.
    in Web > reference with adaptive collaboration community learning machine optimization wiki
  • Google Prediction API
    The Prediction API enables access to Google's machine learning algorithms to analyze your historic data and predict likely future outcomes. Upload your data to Google Storage for Developers, then use the Prediction API to make real-time decisions in your applications. The Prediction API implements supervised learning algorithms as a RESTful web service to let you leverage patterns in your data, providing more relevant information to your users. Run your predictions on Google's infrastructure and scale effortlessly as your data grows in size and complexity.
    in Software with api cloud google learning machine prediction
    develop compiler technology that can automatically learn how to best optimise programs for re-configurable heterogeneous embedded processors.
    in Software > tools with ai compiler embedded learning machine mobile processor
  • NELL: Never-Ending Language Learning
    "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously
    in Science with ai knowledge learning machine by 2 users
  • Prolix
    PROLIX is a 48 months research and development integrated project co-funded by the European Commission under the Sixth Framework Programme, Priority 2 "Information Society Technologies" started on 1st December 2005. The objective of PROLIX is to align learning with business processes in order to enable organisations to faster improve the competencies of their employees according to continuous changes of business requirements. To reach this goal, PROLIX develops an open, integrated reference architecture for process-oriented learning and information exchange.
    in Education with business development europe information learning process project research
  • RoboEarth
    At its core, RoboEarth is a World Wide Web for robots: a giant network and database repository where robots can share information and learn from each other about their behavior and their environment. Bringing a new meaning to the phrase "experience is the best teacher", the goal of RoboEarth is to allow robotic systems to benefit from the experience of other robots, paving the way for rapid advances in machine cognition and behaviour, and ultimately, for more subtle and sophisticated human-machine interaction.
    in Software > Reference with knowledge learning machine robotics sharing web
  • The Pragmatic Bookshelf
    The Pragmatic Programmers is an agile publishing and training company.
    in Web > reference with book learning programming resource by 2 users
  • Weka 3
    Data Mining with Open Source Machine Learning Software in Java
    in Software with data java learning mining open software source by 3 users

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