In this week’s roundup, learn how artificial intelligence (AI) could change the future of elections, and how it might be the key to battling COVID-19. Understand the five emerging AI trends to watch out for in 2021, and discover how AI is being used to solve partial differential equations. Finally, learn about the data deluge, and how data is more like water than oil.
by Mark Minevich, contributing writer for Forbes.com
With this year’s record-breaking voter participation numbers, why are we relying on antiquated systems, paper ballots, and inadequate machines to handle one of the most important events? If we consider AI and innovation, the future of election day changes. No lines, no waiting on ballots to be counted, no uncertainty that your vote was counted. Here are seven AI technologies that could make this a reality.
By Ariana Eunjung Cha, contributing writer for WashingtonPost.com
Data scientist AJ Venkatakrishnan took genetic data from 10,967 samples of coronavirus and fed it into a machine. The hope was that the AI might pinpoint weaknesses that could be exploited to develop therapies. He found that the virus appeared to have a snippet of the DNA code, “RRARSVAS.” This mimics a protein that helps the body regulate salt and fluid balance. He wondered if this could explain so much about the virus. This is just one example of how AI is being used to battle COVID-19. Read about other examples here.
By Rick Whiting, contributing writer for CRN.com
Artificial intelligence and machine learning have found their way into so many facets of society. AI hardware, software, and services are up 12.3 percent in revenue from 2019. And it’s that time of year again… it’s time to take a look at five AI and ML technology trends and issues as we head into 2021. This article looks at the types of applications that are using them, how they are being developed, and the ways they are being used.
By Karen Hao, contributing writer for TechnologyReview.com
Partial differential equations (PDEs) can describe everything from planetary motion to plate tectonics. They are useful math equations but are notoriously hard to solve because they are highly complex and computationally intensive, often relying on supercomputers. Researchers have developed a new deep learning technique that is more accurate and more generalizable, capable of solving entire families of PDEs without retraining.
By Romi Mahajan, contributing writer for InformationWeek.com
You may have heard the analogy, “Data is the new oil.” On its face, it makes sense. Oil and data must be extracted, refined, and marketed. They both are a source of tremendous wealth. But, no country has ever said, “I have too much oil!” The same cannot be said for data, as you can have too much of it. And therefore, data is more like water than oil. Read more about why this is and how you can avoid becoming waterlogged in a data lake.
Did you see an interesting article in the last week? Share it with us! Send it to astuttle [at] lityx.com.