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    AI scientific policies in China
      30 Mar 2020
    By Yi Chang and Chengqi Zhang Artificial intelligence (AI) has entered into a new era, and its rapid development will profoundly affect the everyday life of citizens worldwide. Countries around the...

    Are sixteen heads really better than one?
      26 Mar 2020
    Hercules Slaying the Hydra [latexpage] By Paul Michel Since their inception in this 2017 paper by Vaswani et al., transformer models have become a staple of NLP research. They are used in m...

    Large-scale training at BAIR with Ray Tune
      25 Mar 2020
    [latexpage] By Richard Liaw, Eric Liang and Kristian Hartikainen In this blog post, we share our experiences in developing two critical software libraries that many BAIR researchers ...

    Can machines read our minds?
      20 Mar 2020
    Many of us spend a significant portion of our day online and, in doing so, through our interactions with social media and IoT devices, leave a trail of “digital footprints” in our wake. Could this...

    Combining AI and human expertise for cancer diagnosis
      19 Mar 2020
    Hamid Tizhoosh in his lab at the University of Waterloo. Image: University of Waterloo. A new system combining artificial intelligence (AI) with human knowledge promises faster and more accurate ca...

    Researchers use artificial intelligence to design supercompressible metamaterial
      18 Mar 2020
    Researchers at TU Delft have developed a new material using Bayesian machine learning algorithms. Using the results of their computational simulations they have fabricated two designs at different len...

    Working towards the next generation of voice interaction interfaces
      16 Mar 2020
    COMPRISE (cost-effective, multilingual, privacy-driven voice-enabled services) is a European-funded Horizon 2020 project looking into the next generation of voice interaction services. The project ai...

    Driverless shuttles: the latest from two European projects
      10 Mar 2020
    Autonomous vehicles must be well-integrated into public transport systems if they are to take off in Europe's cities, say researchers. Image credit - Keolis By Julianna Photopoulos Jutting out i...

    Emergent behavior by minimizing chaos
      09 Mar 2020
    [latexpage] By Glen Berseth All living organisms carve out environmental niches within which they can maintain relative predictability amidst the ever-increasing entropy around the...

    Predicting the coronavirus outbreak: how AI connects the dots to warn about disease threats
      05 Mar 2020
    Connecting the dots. majcot/Shutterstock.com By Vandana Janeja, University of Maryland, Baltimore County Canadian artificial intelligence firm BlueDot has been in the news i...

    Hot papers on arXiv from the past month – February 2020
      02 Mar 2020
    What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during February 2020. Results are powered by Arxiv Sanity Preserver....

    Using deep learning to find disease-related genes
      27 Feb 2020
    Photo credit: metamorworks. By Karin Söderlund Leifler An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes. Th...

    Deep learning AI discovers surprising new antibiotics
      24 Feb 2020
    A colored electron microscope image of MRSA. NIH - NIAID/flickr, CC BY By Sriram Chandrasekaran, University of Michigan Imagine you’re a fossil hunter. You spend months in...

    Fairness in artificial intelligence
      20 Feb 2020
    Training machines using unbiased data and methodology is something that should be considered when designing artificial intelligence (AI) systems. Machine decisions can affect our rights, and we need ...

    Neural approximate dynamic programming for on-demand ride-pooling
      19 Feb 2020
    In this post Sanket Shah (Singapore Management University) writes about his ride-pooling journey, from Bangalore to AAAI-20, with a few stops in-between....

    What is my data worth?
      17 Feb 2020
    [latexpage] By Ruoxi Jia People give massive amounts of their personal data to companies every day and these data are used to generate tremendous business values. Some economists and politicians...

    How sensors and big data can help cut food wastage
      05 Feb 2020
    Shutterstock By Jean Frederic Isingizwe Nturambirwe, Stellenbosch University and Umezuruike Linus Opara, Stellenbosch University Modern farming has evolved by adopting technical advances such as...

    Hot papers on arXiv from the past month – January 2020
      04 Feb 2020
    What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during January 2020. Results are powered by Arxiv Sanity Preserver....

    Learning to imitate human demonstrations via CycleGAN
      03 Feb 2020
    By Laura Smith and Marvin Zhang One of the most important markers of intelligence is the ability to learn by watching others. Humans are particularly good at this, often being able to learn tasks ...

    NeurIPS – machine learning for health
      29 Jan 2020
    The Machine Learning for Health workshop at NeurIPS 2019 brought together machine learning researchers, clinicians, and healthcare data experts. With the theme “what makes machine learning in medici...

    Model-based reinforcement learning: theory and practice
      28 Jan 2020
    By Michael Janner Reinforcement learning systems can make decisions in one of two ways. In the model-based approach, a system uses a predictive model of the world to ask questions of the form “wh...

    AI and human autonomy: an analysis of the interaction between intelligent software agents and human users
      24 Jan 2020
    Is our autonomy affected by interacting with intelligent machines designed to persuade us? That’s what researchers at the University of Bristol attempted to find out through an analysis of the inte...

    Data-driven deep reinforcement learning
      16 Jan 2020
    By Aviral Kumar One of the primary factors behind the success of machine learning approaches in open world settings, such as image recognition and natural language processing, has been the ability ...

    Hot papers on arXiv from the past month – December 2019
      14 Jan 2020
    What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during December 2019....

    History playground – finding patterns in historical newspapers
      13 Jan 2020
    Ever fancied finding out more about historical trends? Well, thanks to researchers at the University of Bristol, and their History Playground tool, anyone can analyse the content from a collection of ...

    Look then listen: Pre-learning environment representations for data-efficient neural instruction following
      06 Nov 2019
    By David Gaddy When learning to follow natural language instructions, neural networks tend to be very data hungry – they require a huge number of examples pairing language with actions in order to ...

    Deep dynamics models for dexterous manipulation
      03 Oct 2019
    By Anusha Nagabandi Dexterous manipulation with multi-fingered hands is a grand challenge in robotics: the versatility of the human hand is as yet unrivaled by the capabilities of robotic systems...

    Evaluating and testing unintended memorization in neural networks
      14 Aug 2019
    By Nicholas Carlini It is important whenever designing new technologies to ask “how will this affect people’s privacy?” This topic is especially important with regard to machine learning, where...

    Artificial intelligence agents begin to learn new skills from watching videos
      29 Jun 2019
    Whether it's tying a tie, making slime, fixing a leaky faucet, or some other daily task, millions of people watch how-to videos to learn new skills. Now, artificially intelligent (AI)&n...

    Model-based reinforcement learning from pixels with structured latent variable models
      27 May 2019
    By Marvin Zhang and Sharad Vikram Imagine a robot trying to learn how to stack blocks and push objects using visual inputs from a camera feed. In order to minimize cost and safety concerns, we want o...

    Robots that learn to adapt
      15 May 2019
    By Anusha Nagabandi and Ignasi Clavera Humans have the ability to seamlessly adapt to changes in their environments: adults can learn to walk on crutches in just a few seconds, people can adapt almos...

    Robots that learn to use improvised tools
      22 Apr 2019
    By Annie Xie In many animals, tool-use skills emerge from a combination of observational learning and experimentation. For example, by watching one another, chimpanzees can learn how to use twigs to...

    Manipulation by feel
      12 Apr 2019
    By Frederik Ebert and Stephen Tian Guiding our fingers while typing, enabling us to nimbly strike a matchstick, and inserting a key in a keyhole all rely on our sense of touch. It has been shown that...

    Hot papers on Arxiv from the past month
      11 Apr 2019
    What's hot on Arxiv? Here are the most tweeted papers from the past month....

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