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  • 22 Feb 2024
    Marco Antonio Valenzuela-Escárcega, Mihai Surdeanu

    To Understand Large Language Models We Need to Go Back to the Basics

    Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” Most of us have experienced this law with respect to the latest iterations of large language models (LLMs) such as GPT-4. This perspective may lead to incorrect usage of LLMs, resulting in undesirable and dangerous effects such as privacy violations, proliferation […]

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  • 19 Oct 2023
    Mor Harchol-Balter

    The Importance of Probability in Computing

    A Q&A with Professor Mor Harchol-Balter, author of the new Cambridge textbookIntroduction to Probability in Computing In today’s blog post, we’re delighted to catch up with the author of a ground-breaking textbook on probability for computing. We’ll discuss the inspiration behind the book, its target audience, and unique features that make it stand out from […]

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  • 16 Apr 2021

    What have Mathematics and Statistics ever done for you?

    By Graham Robertson Senior Marketing Executive, Cambridge University Press How much do you know about the influence of mathematics and statistics? April is Mathematics and Statistics Awareness Month, so we thought we would share a quick snapshot… You probably know that secure online shopping and private messaging on your mobile or cell phone would not […]

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  • 29 Oct 2019
    Carol Frieze, Jeria L. Quesenberry

    Gender Gaps in Computing: Myth vs Fact

    Authors, Carol Frieze and Jeria L. Quesenberry debunk five common myths on the Gender Gap in Computing

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  • 26 Feb 2018
    Ian Thompson

    What makes an expert?

    In days of 8-bit computers, one would sometimes encounter individuals who knew everything about a particular device or piece of software. Single programmers wrote entire applications or games, and some could debug their work by looking directly at a core dump (a printout of the numbers stored in the computer’s memory). Some even managed to […]

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  • 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.

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  • 19 Oct 2017
    Ryen White

    How do we interact with search systems?

    Search systems, including web search engines, play an important role in decision making and action in many settings. Over the next decade and beyond, people will interact with search systems in new ways. Ryen White tells us how.

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  • 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 […]

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