• about
  • resources
  • contribute
  • republishing
    • ☰
  • news
  • articles
  • opinions
  • education

    • ΑΙhub.org

    articles


    Generating 3D molecular conformers via equivariant coarse-graining and aggregated attention
    Introducing a variational encoder for molecular conformer generation.
    14 July 2023, by

    AIhub monthly digest: June 2023 – combining learning and reasoning, physics from videos, and the EU AI act
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    28 June 2023, by

    GPT-4 + Stable-Diffusion = ?: Enhancing prompt understanding of text-to-image diffusion models with large language models
    Our LLM-grounded model delivers improved prompt understanding in cases including negation, numeracy, and spatial relationships.
    26 June 2023, by

    Algorithms can be useful in detecting fake news, stopping its spread and countering misinformation
    Laks V.S. Lakshmananand colleagues have developed algorithms for detecting dense structures from communication networks, information which can be used for identifying instances of misinformation campaigns.
    23 June 2023, by

    Researchers use AI to identify similar materials in images
    This machine-learning method could assist with robotic scene understanding, image editing, or online recommendation systems.
    14 June 2023, by

    Bridging the gap between learning and reasoning
    Combining deep learning with automated reasoning to solve real-world problems.
    07 June 2023, by



    On privacy and personalization in federated learning: a retrospective on the US/UK PETs challenge
    Studying the use of differential privacy in personalized, cross-silo federated learning.
    05 June 2023, by

    PeSTo: an AI tool for predicting protein interactions
    The model can predict the binding interfaces of proteins when they bind other proteins, nucleic acids, lipids, ions, and small molecules.
    01 June 2023, by

    Tetris reveals how people respond to an unfair AI algorithm
    An experiment in which two people play a modified version of Tetris revealed that players who get fewer turns perceive the other player as less likeable, regardless of whether a person or an algorithm allocates the turns.
    31 May 2023, by

    AIhub monthly digest: May 2023 – mitigating biases, ICLR invited talks, and Eurovision fun
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    30 May 2023, by

    Using engineered bacteria and AI to sense and record environmental signals
    Synthetic biologists engineer bacterial swarm patterns to visibly record environment and use deep learning to decode patterns.
    24 May 2023, by

    Writing with AI help can shift your opinions
    A study investigates whether a language-model-powered writing assistant that generates some opinions more often than others impacts what users write – and what they think.
    23 May 2023, by

    AI is helping astronomers make new discoveries and learn about the universe faster than ever before
    As the technology has become more powerful, AI algorithms have begun helping astronomers tame massive data sets and discover more about the universe.
    22 May 2023, by

    Mitigating biases in machine learning
    Max Springer examines the notion of fairness in hierarchical clustering.
    17 May 2023, by

    Researchers create a tool for accurately simulating complex systems
    The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
    16 May 2023, by

    Engineering molecular interactions with machine learning
    By using deep learning-generated "fingerprints" to characterize millions of protein fragments, researchers have computationally designed novel protein binders that attach to key targets.
    12 May 2023, by

    #ICLR2023 invited talk: Data, history and equality with Elaine Nsoesie
    Elaine Nsoesie talked about how the neighbourhood in which you live impacts your health outcomes.
    11 May 2023, by

    Four ways that AI can help students
    As artificial intelligence systems play a bigger role in everyday life, they’re changing the world of education, too.
    09 May 2023, by

    Machine learning helps researchers separate compostable from conventional plastic waste
    Scientists combined imaging techniques and machine learning methods to identify compostable plastics among conventional types.
    05 May 2023, by

    Understanding the impact of misspecification in inverse reinforcement learning
    Our work provides a framework for reasoning about the question of misspecification in inverse reinforcement learning.
    04 May 2023, by and

    #ICLR2023 invited talks: exploring artificial biodiversity, and systematic deviations for trustworthy AI
    We give a flavour of the first two invited talks at ICLR 2023, which is taking place in Kigali.
    03 May 2023, by

    TIDEE: An embodied agent that tidies up novel rooms using commonsense priors
    We introduce a new benchmark to test agents in their ability to clean up messy scenes without any human instruction.
    28 April 2023, by

    AIhub monthly digest: April 2023 – addressing class imbalance, personalized reward functions, and ad hoc teamwork
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    27 April 2023, by

    Back to the future: towards a reasoning and learning architecture for ad hoc teamwork
    Our architecture formulates ad hoc teamwork as a joint reasoning and learning problem.
    25 April 2023, by

    ChatGPT: what the law says about who owns the copyright of AI-generated content
    The capabilities of recent language models raise important questions about ownership of the content produced.
    20 April 2023, by

    Koala: A dialogue model for academic research
    In this post, we introduce Koala, a chatbot trained by fine-tuning Meta’s LLaMA on dialogue data gathered from the web.
    18 April 2023, by

    Benefits and control influence the acceptance of automated decision-making
    Research indicates that users accept or reject decisions and decisional agents based on their predicted benefits and the ability to exercise control over the decision.
    17 April 2023, by

    Are model explanations useful in practice? Rethinking how to support human-ML interactions
    This post describes a workflow for evaluating XAI methods, how this workflow was instantiated in two domains, and insights from these efforts.
    14 April 2023, by

    #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

    ← previous page   
        next page →



    ↑
  • news
  • articles
  • opinions
  • education
  • about
  • resources
  • contribute
  • republishing
  • RSS
  • linkedin
  • facebook
  • twitter
  • Youtube

    • AIhub is supported by:






    ©2024 - Association for the Understanding of Artificial Intelligence


     










    ©2021 - ROBOTS Association