All posts tagged "Research"

  • Artificial Intelligence
    A Summary of the Google Zürich Algorithms & Optimization Workshop

    Posted by Silvio Lattanzi, Research Scientist, Google Zürich and Vahab Mirrokni, Research Scientist, Google New York Recently, we hosted a workshop on Algorithms and Optimization in our office in Zürich, with the goal of fostering collaboration between researchers from academia and Google by providing a forum to exchange ideas in machine learning...

  • Big Data
    Introduction: Open Data and Africa

    Open Data is widely regarded as the greatest challenge in the pursuit of openness in science, given the vastly different data practices – and related ethos and cultures of ownership, curation, storage and dissemination – which characterise each area of research. Initiatives such as OpenAIRE, Elixir and, most recently, the European Open...

  • Deep Learning
    Assessing Cardiovascular Risk Factors with Computer Vision

    Posted by Lily Peng MD PhD, Product Manager, Google Brain Team Heart attacks, strokes and other cardiovascular (CV) diseases continue to be among the top public health issues. Assessing this risk is critical first step toward reducing the likelihood that a patient suffers a CV event in the future. To do this...

  • Artificial Intelligence
    Announcing Tensor Comprehensions – Facebook Research

    Today, Facebook AI Research (FAIR) is announcing the release of Tensor Comprehensions, a C++ library and mathematical language that helps bridge the gap between researchers, who communicate in terms of mathematical operations, and engineers focusing on the practical needs of running large-scale models on various hardware backends. The main differentiating feature of...

  • Artificial Intelligence
    AI Offers Hope for Relief from Depression

    Thinking about depression treatment is likely to depress you. The disease, which is the world’s leading cause of disability, affects an estimated 300 million people globally. Although there are plenty of possible treatments, doctors have no reliable way to know what’s best for each patient. Many people struggle with depression for years...

  • Artificial Intelligence
    Introducing the HDR+ Burst Photography Dataset

    Posted by Sam Hasinoff, Software Engineer, Machine Perception Burst photography is the key idea underlying the HDR+ software on Google’s recent smartphones, and a fundamental computational photography technique for improving image quality. Every photo taken with HDR+ is actually a composite, generated by capturing and merging a short burst of full-resolution photos....

  • Big Data
    Multiset Analysis of Consequences of Natural Disasters Impacts on Large-Scale Industrial Systems

    1 Introduction Modern industrial systems (no matter, global, regional, national, transnational etc.) are complicated, distributed, strongly interconnected networks of local facilities, producing, transporting and utilizing various products and resources. That’s why, – first of all, of the mentioned strong interconnectivity and associated with it multiple chain effects, – these systems are often...

  • Research
    The Instant Motion Tracking Behind Motion Stills AR

    Posted by Jianing Wei and Tyler Mullen, Software Engineers, Google Research Last summer, we launched Motion Stills on Android, which delivered a great video capture and viewing experience on a wide range of Android phones. Then, we refined our Motion Stills technology further to enable the new motion photos feature in Pixel...

  • Artificial Intelligence
    Enabling full body AR with Mask R-CNN2Go – Facebook Research

    The Facebook AI Camera Team is working on various computer vision technologies and creative tools to help people express themselves. For example, with real-time “style transfer”, you can give your photos or videos the look of a Van Gogh painting. With real-time face tracker, you can add makeup or even replace your...

  • Research
    Recommendations to Improve Downloads of Large Earth Observation Data

    1. Introduction 1.1 Purpose With the volume of Earth observation data expanding rapidly, cloud computing is quickly changing the way these data are processed, analyzed, and visualized. The cloud infrastructure provides the flexibility to scale up (for both storage and computation) to large volumes of data and to efficiently process high velocity...