Shang Gao, University of Illinois Chicago e Jalees Rehman, University of Illinois Chicago
Machine learning is great at finding patterns but doesn’t know what those patterns mean. Combine it with knowledge gained from genetic research and you have a powerful view into the workings of cells.
The decision is supported by the government’s policy environment in recent years. This has aimed to increase innovation, and views technology as a way to achieve this.
Robots are more likely than people to misclassify emotions when reading faces that are partially covered. This could lead to unexpected behaviours when they interact with people wearing masks.
It’s difficult to tell a shipwreck from a natural feature on the ocean floor in a scan taken from a plane or ship. This project used deep learning to get it right 92% of the time.
Custom fabrication involves taking measurements, choosing tools, deciding on sequences of steps and ordering from a menu of materials. AIs under development promise to take humans out of the loop.
Priyanka Ranade, University of Maryland, Baltimore County; Anupam Joshi, University of Maryland, Baltimore County e Tim Finin, University of Maryland, Baltimore County
Bots flooding social media with fake news about politics is bad enough. Muddying the waters in such fields as cybersecurity and health care could put lives at risk.
Through the act of suggesting some words and not others, the predictive text features in our devices change the way we think — and therefore shape our culture.
Automated content moderation using algorithms are quick and cheaper. But, they’re not necessarily better than human beings. They are prone to errors and can impose bias in a systemic scale.