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    Hot papers on arXiv from the past month: July 2021

    What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during July 2021.
    02 August 2021, by

    AIhub monthly digest: July 2021 – ICML, protein folding for all, and AI Song Contest winner announced

    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    29 July 2021, by

    Use of AI to fight COVID-19 risks harming “disadvantaged groups”, experts warn

    Rapid deployment of AI to tackle coronavirus must still go through ethical checks and balances.
    28 July 2021, by

    #ICML2021 invited talk round-up 2: randomized controlled trials, encoding speech, and molecular science

    In our second round-up, we summarise the talks from Esther Duflo, Edward Chang and Cecilia Clementi.
    27 July 2021, by

    Document grounded generation

    A method for generating text when given a context and a source document.
    26 July 2021, by

    #ICML2021 invited talk round-up 1: drug discovery and cryospheric science

    In this post, we summarise the first two invited talks from ICML, given by Daphne Koller and Xiao Cunde.
    21 July 2021, by

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    ›   Biases in AI Systems ›   Professional standards for data science could pave way for AI regulation ›   A Machine Learning Method to Block Ads Based on Local Browser Behavior ›   Scaling Up Chatbots for Corporate Service Delivery Systems ›   Trucks Move Past Cars on the Road to Autonomy ›   This flying fire sensor could help track wildfires from a satellite in space ›   How AI Algorithms Are Changing Trading Forever ›   DeepMind open-sources protein structure dataset generated by AlphaFold 2 ›   Self-driving cars confront a daunting new challenge: New York City streets ›   Alibaba Develops Search Engine Simulation AI That Uses Live Data




    Ethics in voice technologies

    This article from the COMPRISE project considers some of the ethical implications of voice technologies.
    20 July 2021, by

    Ethics and AI: tackling biases hidden in big data

    Find out more about Nello Cristianini's research into big data and biases.
    16 July 2021, by

    What do pilots think of having more AI in the cockpit?

    Pilots are keen to explore using new technology in the cockpit but they also need to be central in the design of any new systems.
    15 July 2021, by

    Code^Shift lab aims to confront bias in AI and machine learning

    The new Texas A&M initiative brings together an interdisciplinary group of experts.
    13 July 2021, by

    Four ways artificial intelligence is helping us learn about the universe

    Some of the biggest challenges in astronomy lie in how we’re going to study all the data we’re collecting.
    07 July 2021, by

    The problem of complete, irreversible data anonymisation

    Read about the challenges and the latest research into data anonymisation.
    06 July 2021, by

    “I am here to assist you today” – how we respond to chatbots

    Carolin Ischen studies how our perceptions of AI and our experience with chatbots influence our attitudes and behaviour.
    05 July 2021, by

    Hot papers on arXiv from the past month: June 2021

    What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during June 2021.
    02 July 2021, by

    AIhub monthly digest: June 2021 – RoboCup, comics, and the return of the AI song contest

    Welcome to our monthly digest where you can catch up with AI research, events and news from the month past.
    30 June 2021, by

    See, Hear, Explore: curiosity via audio-visual association

    We propose a formulation of curiosity that encourages the agent to explore novel associations between modalities, such as audio and vision.
    29 June 2021, by

    Cost-effective speech-to-text with weakly- and semi-supervised training

    Find out how the COMPRISE project are using semi-supervised methods to train speech-to-text systems.
    28 June 2021, by

    AI in port and maritime research

    Three researchers from The Netherlands explain their work.
    07 June 2021, by

    FLeet: putting machine learning in your pocket

    Using mobile devices to conduct machine learning as part of a distributed network.
    02 June 2021, by

    AIhub monthly digest: May 2021 – ocean studies, defining AI, and philosophy of mind

    Welcome to our monthly digest where you can catch up with AI research, events and news from the month past.
    28 May 2021, by

    Learning what to do by simulating the past

    We propose an algorithm that can learn a policy without any human supervision or reward function.
    24 May 2021, by

    A learning theoretic perspective on local explainability

    By Vaishnavh Nagarajan and Jeffrey Li [latexpage] Fig 1: A formal relationship between interpretability and complexity. Going from left to right, we consider increasingly complex functions. As...
    18 May 2021, by

    An active machine learning method for discovering new semiconductors

    Searching for new organic semiconductors, the basis for OLEDs and solar cells.
    17 May 2021, by

    The importance of hyperparameter optimization for model-based reinforcement learning

    We discuss how model-based reinforcement learning is more susceptible to parameter tuning and how we can use AutoML.
    12 May 2021, by

    Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer

    Find out how Cambridge researchers are using deep-learning to assist pathologists.
    10 May 2021, by

    Counterfactual predictions under runtime confounding

    We propose a method for using offline data to build a prediction model that only requires access to the available subset of confounders at prediction time.
    07 May 2021, by

    Hot papers on arXiv from the past month: April 2021

    What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during April 2021.
    05 May 2021, by

    AIhub monthly digest: April 2021 – ethics, music, education and Westworld

    Welcome to our April 2021 monthly digest where you can catch up with any AIhub stories you may have missed, get the low-down on recent events, and much more.
    04 May 2021, by

    Pretrained transformers as universal computation engines

    Transformers have been successfully applied to a wide variety of modalities: natural language, vision, protein modeling, music, robotics, and more...
    29 April 2021, by

    Studying biomolecules with deep-learning-enhanced nanoplasmonic technique

    EPFL scientists have developed AI-enhanced nanosensors that let researchers track various kinds of biological molecules.
    27 April 2021, by

     
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