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    Keeping learning-based control safe by regulating distributional shift
    We propose a new framework to reason about the safety of a learning-based controller with respect to its training distribution.
    30 September 2022, by

    #IJCAI2022 distinguished paper – Plurality veto: A simple voting rule achieving optimal metric distortion
    How can we create a voting system that best represents the preferences of the voters?
    28 September 2022, by

    AIhub monthly digest: September 2022 – environmental conservation, retrosynthesis, and RoboCup
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    27 September 2022, by

    Recurrent model-free RL can be a strong baseline for many POMDPs
    Considering an approach for dealing with realistic problems with noise and incomplete information.
    23 September 2022, by

    State of the art in the RoboCup Humanoid League
    Summarising the different software and hardware components used by teams competing in the KidSize Humanoid League.
    22 September 2022, by and

    Algorithm learns to correct 3D printing errors for different parts, materials and systems
    Engineers from the University of Cambridge have developed a machine learning algorithm that can detect and correct a wide variety of different errors in real time.
    16 September 2022, by

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    Reverse engineering the NTK: towards first-principles architecture design
    We propose a paradigm for bringing some principle to the art of architecture design.
    12 September 2022, by

    Algorithmically finding ways to synthesize new medicine
    Applying a well-known algorithm for solving two-player games to the problem of synthesizing new molecules.
    07 September 2022, by and

    Galaxies on graph neural networks
    Using Graph Neural Networks, we trained Generative Adversarial Networks to correctly predict the coherent orientations of galaxies in a state-of-the-art cosmological simulation.
    05 September 2022, by

    #IJCAI invited talk: engineering social and collaborative agents with Ana Paiva
    In her invited talk at IJCAI, Ana Paiva talked about some of her work on social robots and agents.
    02 September 2022, by

    AIhub monthly digest: August 2022 – cross-lingual transfer, philosophy of cognitive science, and #DLIndaba
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    30 August 2022, by

    #IJCAI2022 invited talk: Insights in medicine with Mihaela van der Schaar
    Mihaela van der Schaar talks about some of the opportunities for machine learning in medicine.
    26 August 2022, by

    auton-survival: An open-source package for regression, counterfactual estimation, evaluation and phenotyping censored time-to-event data
    We present auton-survival – a comprehensive Python code repository of user-friendly, machine learning tools for working with censored time-to-event data.
    22 August 2022, by

    Using reinforcement learning for control of direct ink writing
    Improving the printing technique of viscous materials using reinforcement learning and numerical simulation.
    16 August 2022, by

    Why do policy gradient methods work so well in cooperative MARL? Evidence from policy representation
    We show how policy gradient methods can converge to an optimal policy in certain cases, and that they can learn multi-modal policies.
    15 August 2022, by

    Using AI to tackle the challenge of materials structure prediction
    Researchers have designed a machine learning method to predict the structure of new materials.
    12 August 2022, by

    Using AlphaFold to find complex protein knots
    Theoretical physicists at Johannes Gutenberg University Mainz put AlphaFold to the test to find complex protein knots.
    11 August 2022, by

    #ICML2022 invited talk round-up 2: estimating causal effects and drug discovery and development
    We summarise the final two invited talks from the International Conference on Machine Learning.
    10 August 2022, by

    Art meets AI algorithms
    Find out about a collaboration between an artist and AI researchers.
    05 August 2022, by

    #ICML2022 invited talk round-up 1: towards a mathematical theory of ML and using ML for molecular modelling
    We summarise the first two invited talks from the International Conference on Machine Learning.
    02 August 2022, by

    Does AutoML work for diverse tasks?
    Can the available AutoML tools quickly and painlessly attain near-expert performance on diverse learning tasks?
    01 August 2022, by

    AIhub monthly digest: July 2022 – conferences galore, Lanfrica talks, and 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 2022, by

    AI-powered BirdNET app makes citizen science easier
    The team behind BirdNET have published a paper about their work and what it means for citizen science.
    13 July 2022, by

    FIGS: Attaining XGBoost-level performance with the interpretability and speed of CART
    In this blog post we cover a new method for fitting an interpretable model that takes the form of a sum of trees.
    12 July 2022, by

    Illustrating the materiality of AI
    By picturing the physicality of artificial intelligence we hope to foster more accurate representations of these emerging technologies.
    01 July 2022, by

    AIhub monthly digest: June 2022 – bootstrapped meta-learning, ethical AI, and a song contest
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    28 June 2022, by

    The Berkeley Crossword Solver
    We recently built the Berkeley Crossword Solver (BCS), the first computer program to beat every human competitor in the world’s top crossword tournament.
    27 June 2022, by

    Deep attentive variational inference
    The expressivity of current deep probabilistic models can be improved by selectively prioritizing statistical dependencies between latent variables that are potentially distant from each other.
    24 June 2022, by

    AI and machine learning are improving weather forecasts, but they won’t replace human experts
    Machine learning can help with some of the challenges faced by weather forecasters.
    20 June 2022, by

    Rethinking human-in-the-loop for artificial augmented intelligence
    How do we build and evaluate an AI system for real-world applications?
    17 June 2022, by

     
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