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    #AAAI2023 workshops round-up 3: Reinforcement learning ready for production
    The organisers of the AAAI2023 workshop on RL for production tell us their key takeaways from their event.
    13 April 2023, by

    Learning personalized reward functions with Interaction-Grounded Learning (IGL)
    Find out about research using Interaction-Grounded Learning (IGL) to infer reward functions that capture the intent of an end-user.
    04 April 2023, by and

    Advancing data justice research and practice project
    Find out more about this project from The Alan Turing Institute and the Global Partnership on AI.
    31 March 2023, by

    Methods for addressing class imbalance in deep learning-based natural language processing
    This blogpost gives an overview of class imbalance in NLP and surveys methods for addressing this.
    30 March 2023, by and

    AIhub monthly digest: March 2023 – plant disease diagnosis, logic for trustworthy AI, and neurosymbolic approaches
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    28 March 2023, by

    Neurosymbolic AI for graphs: a crime scene analogy
    Find out more about neurosymbolic approaches and how these can be used for reasoning on graph structures.
    23 March 2023, by and



    #AAAI2023 workshops round-up 2: health intelligence and privacy-preserving AI
    The organisers of two of the AAAI2023 workshops tell us their key takeaways from their respective events.
    21 March 2023, by

    Is there a way to pay content creators whose work is used to train AI? Yes, but it’s not foolproof
    Is imitation the sincerest form of flattery, or theft? Perhaps it comes down to the imitator.
    17 March 2023, by

    Improving the understanding of metal-organic frameworks
    Researchers at EPFL and KAIST have developed a new AI model that improves the understanding of MOFs.
    15 March 2023, by

    #AAAI2023 invited talk: Isabelle Augenstein on modelling information change in scientific communication
    Isabelle spoke about using natural language processing to address problems in science communication.
    14 March 2023, by

    RLPrompt: Optimizing discrete text prompts with reinforcement learning
    We propose an efficient discrete prompt optimization approach with reinforcement learning.
    07 March 2023, by

    Think like a human: the present and future of logic for trustworthy rational robots
    Learning-based solutions are efficient, but are they trustworthy enough to be embedded in a robot cooperating with or assisting humans?
    03 March 2023, by

    #AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI
    The organisers of two of the AAAI2023 workshops tell us their key takeaways from their respective events.
    01 March 2023, by

    AIhub monthly digest: February 2023 – attending AAAI, awards galore, and GPT-3 for 5-minute crafts
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    28 February 2023, by

    Deep learning tool boosts X-ray imaging resolution with application to hydrogen fuel cells
    Researchers develop algorithm to significantly enhance images of hydrogen fuel cells.
    27 February 2023, by

    #AAAI2023 invited talk: Manuela Veloso on experience-based insights from AI in robotics and AI in finance
    The winner of the 2023 Robert S. Engelmore Memorial Award talks about autonomous robots and AI in finance.
    24 February 2023, by

    AI can track bees on camera. Here’s how that will help farmers
    AI offers a new way to track the insect pollinators essential to farming.
    23 February 2023, by

    Researchers develop machine learning model to improve Amazon carbon storage estimates
    A research collaboration has used very-high-resolution satellite imagery to develop a ML model for estimating carbon stocks.
    22 February 2023, by

    #AAAI2023 invited talk: Tuomas Sandholm on organ exchanges
    The winner of the 2023 AAAI Award for Artificial Intelligence for the Benefit of Humanity talks about his work on using algorithms to assist in organ exchanges.
    21 February 2023, by

    The fight against antibiotic resistance is growing more urgent, but artificial intelligence can help
    How can AI models help in the search for new antibiotics?
    20 February 2023, by

    A survey on knowledge-enhanced multimodal learning
    Maria Lymperaiou and Giorgos Stamou survey the state of the knowledge-enhanced visiolinguistic (KVL) learning field.
    15 February 2023, by and

    Fully autonomous real-world reinforcement learning with applications to mobile manipulation
    A system that learns to clean up a room directly with a real robot via continual learning.
    07 February 2023, by

    Riemannian score-based generative modelling
    The winners of a NeurIPS 2022 best paper award write about their work on generative modelling.
    01 February 2023, by

    AIhub monthly digest: January 2023 – low-resource language projects, Earth’s nightlights and a Lanfrica milestone
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    31 January 2023, by

    UrbanTwin: seeing double for sustainability
    A digital twin for urban infrastructure: assessing the effectiveness of climate-related policies and actions.
    26 January 2023, by

    Bottom-up top-down detection transformers for open vocabulary object detection
    We introduce a model that detects all objects that a phrase mentions.
    23 January 2023, by

    Applying AI to pathology reveals insights in endometrial cancer diagnostics
    Interpretable deep learning model to predict the molecular classification of endometrial cancer from slide images.
    19 January 2023, by

    Natural Language Processing for low-resource languages
    We highlight some of the NLP recent work that focusses on low-resource languages.
    18 January 2023, by

    Using machine learning to forecast amine emissions
    Scientists at EPFL and Heriot-Watt University have developed a machine learning approach to predict potentially harmful amine emissions from carbon-capturing plants.
    16 January 2023, by

    Using machine learning to improve the toxicity assessment of chemicals
    Researchers from the University of Amsterdam, the University of Queensland and the Norwegian Institute for Water Research, have developed a strategy for assessing the toxicity of chemicals using machine learning.
    04 January 2023, by

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