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    Interview with Mike Lee: Communicating AI decision-making through demonstrations
    We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
    23 April 2024, by

    DataLike: Interview with Tẹjúmádé Àfọ̀njá
    "I place an emphasis on wellness and meticulously plan my schedule to ensure I can make meaningful contributions to what's important to me."
    18 April 2024, by , and

    Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems
    PhD student and AAAI/SIGAI Doctoral Consortium participant tells us about his research.
    16 April 2024, by

    Is compute the binding constraint on AI research? Interview with Rebecca Gelles and Ronnie Kinoshita
    We hear from authors of work presented at AAAI 2024 studying access to compute and the impact this has on AI research and researchers.
    10 April 2024, by



    We built an AI tool to help set priorities for conservation in Madagascar: what we found
    Daniele Silvestro has developed a tool that can help identify conservation and restoration priorities.
    24 April 2024, by

    Machine learning viability modelling of vertical-axis wind turbines
    Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the turbine blades.
    22 April 2024, by

    The Machine Ethics podcast: What is AI? Volume 3
    This is a bonus episode looking back over answers to our question: What is AI?
    19 April 2024, by

    Beyond the mud: Datasets, benchmarks, and methods for computer vision in off-road racing
    Off-road motorcycle racing poses unique challenges that push the boundaries of what existing computer vision systems can handle
    17 April 2024, by

    2024 AI Index report published
    Read the latest edition of the AI Index Report which tracks and visualises data related to AI.
    15 April 2024, by

    #AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models
    We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
    12 April 2024, by

    Deep learning-powered system maps corals in 3D
    A system developed at EPFL can produce 3D maps of coral reefs from camera footage in just a few minutes.
    11 April 2024, by

    Forthcoming machine learning and AI seminars: April 2024 edition
    A list of free-to-attend AI-related seminars that are scheduled to take place between 9 April and 31 May 2024.
    09 April 2024, by

    Modeling extremely large images with xT
    Introducing a new framework to model large images on contemporary GPUs while aggregating global context with local details.
    08 April 2024, by

    Going top shelf with AI to better track hockey data
    Waterloo researchers get an assist from AI in identifying hockey players with greater accuracy and speed.
    05 April 2024, by

    The moderating effect of instant runoff voting
    Providing mathematical backing for the argument that IRV favors moderate candidates in a way that plurality doesn’t.
    04 April 2024, by

    Navigating the new era of commerce: Exploring the relationship between anthropomorphism in voice assistants and user safety perception
    Research looks at the impact of anthropomorphism in voice assistants on the acceptance and utilization of voice shopping.
    03 April 2024, by and

    AIhub monthly digest: March 2024 – human-robot interaction, serverless computing, and deep reinforcement learning for communication networks
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    02 April 2024, by

    Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics
    “AI used to be a scientific and technical field, now it has become a socio-technical discipline"
    28 March 2024, by

    Datalike: Interview with Mariza Ferro
    In their latest interview, Ndane and Isabella meet Mariza Ferro, professor at the Federal Fluminense University.
    27 March 2024, by , and

    Interview with Amine Barrak: serverless computing and machine learning
    PhD student, and AAAI/SIGAI Doctoral Consortium participant, Amine tells us about his research.
    26 March 2024, by

    AI UK 2024: Camden Council case study
    How one of the London borough councils is using data and AI to help inform their decision making.
    25 March 2024, by

    How will generative artificial intelligence affect political advertising in 2024?
    Illinois advertising professor Michelle Nelson talks about concerns around political advertising.
    22 March 2024, by

    Using machine learning to discover stiff and tough microstructures
    Combining simulations and physical testing to forge materials with durability and flexibility for diverse engineering uses.
    21 March 2024, by

    Interview with Raffaele Galliera: Deep reinforcement learning for communication networks
    PhD student, and AAAI/SIGAI Doctoral Consortium participant, Raffaele tells us about his research.
    20 March 2024, by

    Machine learning helps improve quality assurance for wind turbines
    A collaboration between EPFL and the University of Glasgow has led to a ML algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades.
    19 March 2024, by

    #AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering
    We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
    18 March 2024, by

    The shift from models to compound AI systems
    State-of-the-art AI results are increasingly obtained by compound systems with multiple components, not just monolithic models.
    15 March 2024, by

    Interview with Aaquib Tabrez: explainability and human-robot interaction
    PhD student, and AAAI/SIGAI Doctoral Consortium participant, Aaquib tells us about his research so far.
    14 March 2024, by

    The Good Robot Podcast: Featuring Shannon Vallor
    In this episode, Eleanor and Kerry talk to Shannon Vallor about feminist care ethics, techno-virtues and vices, and the 'AI Mirror'
    13 March 2024, by

    #AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?
    We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
    12 March 2024, by

     
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