machine learning

Fifteen Eighty Four


Tag Archives: machine learning

Number of articles per page:

  • 9 Nov 2021
    Song Guo, Zhihao Qu

    The Cutting-Edge of Edge Learning

    Machine Learning (ML) has demonstrated great promises in various fields, e.g., smart health, smart surveillance, smart home, self-driving, smart grid, which are fundamentally altering the way individuals and organizations live, work and interact. Big data is one of the key promotion factors that boosts machine learning development, following the significant successes and progress of machine […]

    Read More
  • 16 Apr 2021
    Steve Young

    Talking to Machines

    Talking to machines is becoming commonplace. We routinely tell our smart speakers what to play next, we tell our satnavs where we want to go, we ask our phones general knowledge questions, we dictate messages to friends directly from our smartwatches, and much more. Slowly but surely the conversational agents that recognise and respond to […]

    Read More
  • 19 Mar 2020
    Serge Abiteboul, Gilles Dowek

    Living in the Algorithmic Age

    Algorithms are sometimes compared to cathedrals, in that they share the same ambition, and the same folly. Some algorithms, such as telephone operating systems, data management systems, or search engines, are huge objects involving the contributions of thousands of people. With algorithms, Homo sapiens has finally created a tool equal to its aspirations. Why do […]

    Read More
  • 26 Oct 2017
    Richard Lyon

    Extracting Meaning from Sound — Computer Scientists and Hearing Scientists Come Together Right Now

    Machines that listen to us, hear us, and act on what they hear are becoming common in our homes.. So far, however, they are only interested in what we say, not how we say it, where we say it, or what other sounds they hear. Richard Lyon describes where we go from here.

    Read More
  • 18 Apr 2017
    Jérôme Lang, Ulle Endriss, Ariel D. Procaccia, Vincent Conitzer, Felix Brandt

    Computational Social Choice at a Glance

    Over the last two decades, the computational social choice research community has grown from a handful of enthusiasts to hundreds of researchers, who have painted a beautiful picture of the interaction between collective decision making and computer science. Our work on the Handbook of Computational Social Choice was motivated by the desire to celebrate the field’s […]

    Read More
  • 18 Mar 2016
    Arnold Glass

    What I Got Wrong: Misunderstanding the Testing Effect

    After reading a passage for the first time, asking answering questions about the passage produces better memory for it than reading the passage repeatedly. This is called the testing effect. Experimental psychologists who study learning have known of the testing effect since at least 1917, when it was reported by Arthur Gates. Recently, several cognitive […]

    Read More

Number of articles per page: