Join us from August 24 through December 14 at the AI for Social Impact Seminar Series. This seminar series will explore how artificial intelligence can contribute to solving social problems.
Join us from August 24 through December 7 at the AI for Social Impact Seminar Series. This seminar series will explore how artificial intelligence can contribute to solving social problems.
Join us on July 20–21 at the AI for Social Good workshop. This event will explore how artificial intelligence can contribute to solving social problems and will bring together researchers and practitioners across artificial intelligence and a range of application domains.
Google Research India: A Peek at Research Activities in Fundamental and Applied CS Research
Our mission at Google Research India is to contribute to fundamental advances in AI and also apply our research to tackle big problems and deliver impact for Google, India and the world at large at massive scale. Some of the fundamental problems in machine learning (ML) we are investigating include a better understanding of the limitations of deep learning systems and improving their robustness. We describe plans to conduct research at...
Behavior has traditionally been a difficult phenotype to characterize because of its temporal nature and context dependence. Traditionally it has been captured using either self-reported accounts of behavior or clinician-administered instruments. Both are subjective, qualitative, and typically cross-sectional. We have previously defined digital phenotyping as the moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices, in particular smartphones. Smartphone-based...
Building Innovative AI Solutions to Solve Complex Social Challenges at a Global Scale
It is estimated that over 2.5 billion people live on under $2.5 per day, this number increases to 4.5 billion people who live on less than $8 per day....
In this talk I will introduce our two recently-proposed metaheuristic non-MILP methods for approximation of Strong Stackelberg Equilibrium in general-sum sequential Security Games (SGs) with imperfect information, played on graphs. Both methods search...
Also read about the 2020 Rising Stars Workshop, where 60 of the brightest rising stars in AI for Social Impact (AISI), their research and activities all mentored by senior AISI faculty and researchers.
Machine learning models are often trained on one dataset and deployed on others. So it becomes important to design models that are robust to...