All posts tagged "Machine Learning"

  • Artificial Intelligence
    DataKind Named One of Fast Company’s Top 10 Most Innovative Nonprofits

    Big news – DataKind has been named one of Fast Company’s Top 10 Most Innovative Nonprofits for 2017 and we have you to thank. Part of the magazine’s annual ranking of the World’s 50 Most Innovative Companies, this list honors leading enterprises and rising newcomers that exemplify the best in nimble...

  • Artificial Intelligence
    Cancer Diagnostics with Deep Learning and Photonic Time Stretch

    Selecting Features Our TS-QPI system generates 100 gigabytes of data per second-a firehose of data equivalent to 20 HD movies per second. For a single experiment, in which every cell in a 10-milliliter blood sample is imaged at almost 100,000 cells per second, the system generates from 10 to 50 terabytes of data....

  • Analytics
    Is your head spinning around IoT, AI and ML?

    AI and ML: Well known big data author Bernard Marr distinguishes between Artificial Intelligence and Machine Learning in this Forbes.com article from December 2016. He defines Artificial Intelligence as “the broader concept of machines being able to carry out tasks in a way that we would consider “smart” and Machine Learning as...

  • Analytics
    Special Issue on Big Data and Smart Cities – Call for Papers

    Introduction A smart city integrates information and communication technologies, as well as Internet of Things (IoT) solutions to reduce costs and resource consumption, enhance performance, and connect and engage more effectively and actively with its citizens. This vast and semi-structured collection of city and citizen-related data provides many opportunities for the development of smart...

  • Artificial Intelligence
    Our collaborations with academia to advance the field of AI

    We also want to make a more direct contribution to academic learning and training the next generation of machine learning practitioners, and so, starting this month, we’ll be running a state-of-the-art Masters level training module called Advanced Topics in Machine Learning with University College London’s (UCL) Department of Computer Science. Led by...

  • Analytics
    Ingredients of a Thriving Chapter

    By the DataKind Bangalore team Happy New Year from DataKind Bangalore! As we head into 2017 and our third year as a chapter, we’ve been reflecting on the successes of 2016 and how much our community of over 1200 volunteers and project partners has accomplished together. But what makes a successful...

  • Analytics
    Special Issue on Hybrid Evolutionary and Swarm Techniques for Big Data Analytics and Applications – Call for Papers

    GUEST EDITORS: Kevin Kam Fung Yuen, School of Business, Singapore University of Social Sciences, Singapore (email: kfyuen@suss.edu.sg , kevinkf.yuen@gmail.com ) Steven Sheng-Uei Guan, Research Institute of Big Data Analytics, Xi’an Jiaotong-Liverpool University, China (email: Steven.Guan@xjtlu.edu.cn ) Richard Everson, Department of Computer Science, Exeter University, United Kingdom (email: R.M.Everson@exeter.ac.uk ) Kit Yan Chan,...

  • Artificial Intelligence
    DeepMind Papers @ NIPS (Part 2)

    Authors: Marcin Andrychowicz, Misha Denil, Sergio Gomez, Matthew Hoffman, David Pfau, Tom Schaul, Nando De Freitas Optimization algorithms...

  • Artificial Intelligence
    DeepMind Papers @ NIPS (Part 1)

    Interaction Networks for Learning about Objects, Relations and Physics Authors: Peter Battaglia, Razvan Pascanu, Matthew Lai, Danilo...

  • Analytics
    PARTNERS 2016 – News Desk – Jason Janetzke, Aster / Think Big Analytics

    VP of Global Marketing for Aster Thing Big, Jason Janetzke, sits down to talk about the transformative...