The year 2030 serves as the resolution to the United Nation’s Agenda for Sustainable Development. The agenda, adopted in 2015 by all UN member states including the United States, mobilizes… Read More »Exploring the future of humanitarian technology
Daniel Ho, Software Engineer, The Everyday Robot Project and Kanishka Rao, Staff Software Engineer, Robotics at Google Reinforcement and imitation learning methods in robotics research can enable autonomous environmental navigation… Read More »Toward Generalized Sim-to-Real Transfer for Robot Learning
MIT researchers have created the first fiber with digital capabilities, able to sense, store, analyze, and infer activity after being sewn into a shirt. Yoel Fink, who is a professor… Read More »Engineers create a programmable fiber
Improved computing power and an exponential increase in data have helped fuel the rapid rise of artificial intelligence. But as AI systems become more sophisticated, they’ll need even more computational… Read More »Accelerating AI at the speed of light
Data integration is defined as gathering data from multiple sources to create a unified view. The process of the consolidated data avails users with consistent access to their data on a… Read More »7 Reasons why you need a data integration strategy
Posted by Tim Blakely, Software Engineer and Michał Januszewski, Research Scientist, Connectomics at Google In January 2020 we released the fly “hemibrain” connectome — an online database providing the morphological… Read More »A Browsable Petascale Reconstruction of the Human Cortex
Health care is at a junction, a point where artificial intelligence tools are being introduced to all areas of the space. This introduction comes with great expectations: AI has the… Read More »The potential of artificial intelligence to bring equity in health care