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...
Personal technologies for everyday health management have the potential to transform healthcare by empowering individuals to engage in their own care, scaffolding access to critical information, and supporting patient-centered decision-making. Currently, many personal health tools often focus only on a single task or isolated event. However, chronic illnesses are characterized by information needs and challenges that shift over time; thus, these illnesses are better defined as a dynamic trajectory than a series of singular events. In this talk, I discuss my work designing and...
Planetary Health: Investigating the Intersections of Environmental and Public Health
My presentation will focus on the following two planetary health research areas: 1) modeling the impact of terrestrial and marine wildlife declines in affecting global human food security; and 2) developing a climate-smart health surveillance system that will integrate environmental, climate, agricultural, and health monitoring data to understand the underlying causes of ill health and how to predict them in the future. These two research areas beg for collaboration across...
How can we fool LIME and SHAP? Adversarial Attacks on Explanation Methods
As machine learning black boxes are increasingly being deployed in domains such as healthcare and criminal justice, there is growing emphasis on building...
