There are some things robots just can’t grasp. Literally. A team of engineers and data scientists at the University of California, Berkeley’s AUTOLAB is working to help these robots develop the know-how to pick up a range of oddly-shaped items.
Learn how a Japanese industrial electronics company used real-time insights into its production process to speed up manufacturing and increase throughput. Using artificial intelligence, edge computing and data analytics, Daihen Corporation and FogHorn Systems worked together to eliminate 5,000 hours of manual process and effectively double the Osaka plant’s output.
Data analytics is an unconventional weapon in the NFL, the technological equivalent to an extra player on the field. Experts say it’s just a matter of time before a team wins the Super Bowl because of its work with player- and ball-tracking data and more.
A huge opportunity awaits the automotive industry. Adrian McDonald explains how a data deluge is set to unleash unprecedented transformation and how to best utilize and monetize it to stay competitive.
When disaster strikes, rescuers gather massive amounts of information nearly real-time from Twitter. Data scientists are developing a way to fuse the timely social media data with reliable satellite imagery to guide disaster relief, track the spread of disease and more.
Columbus, Ohio faces many of the same issues as other midsize and midwestern American cities: suburban sprawl, increased commute times, and a lack of accessible public transit and walkability. Will smart technology be enough to solve those issues and more?