The Robotic Materials workshop will showcase some of the ongoing interdisciplinary work at the intersection of computing, robotics, and material science.
In this cross-disciplinary workshop, we will bring together leading researchers in computing, health informatics, and behavioral medicine to develop an integrative research agenda regarding sociotechnical interventions to reduce health disparities and improve the health of socio-economically disadvantaged populations. As part of these discussions, approaches for guarding against unintended consequences of general interventions will also be explored. To do so, this workshop will focus on integrating insights and findings from each of these fields, identifying gaps in understanding between fields, and surfacing opportunities for future interdisciplinary research to address relevant challenges.
This workshop aims to identify key challenges and open questions that currently limit both our theoretical understanding of fairness and machine learning, and their applicability in practice.
The historical increases in computing performance and reductions in power consumption, size, weight and cost of computing devices are ingrained in the fabric of the research community. These improvements have fueled innovation across scientific domains, health, industry, and government. But clock speeds have been relatively flat for over a decade and current transistor scaling will be reaching limits that are both technological and economic over the next decade. While alternative models of computation are being explored, including quantum and neuro-inspired, digital computing will remain the dominant computational technology for the foreseeable future.