In this week’s roundup, learn how artificial intelligence (AI) standards are being created and how it’s making mistakes on purpose in an effort to accurately predict human chess movements. Explore how machine learning (ML) is being used to find treatment options for COVID-19. Finally, consider the pros and cons of AI bosses and how you can put ML in your pocket.
By David Miller, contributing writer for AutomationWorld.com
While AI and ML are making their way onto the manufacturing plant floor, wide use of the technologies is still a few years off. As relatively new technologies, standards are lacking, which could hinder adoption in the industry. Standards are a sign of a technology maturing and help speed up innovation. Hoping to clear the path for development, the Securing Artificial Intelligence Industry Specification Group has released a report highlighting the field’s predominant challenges.
By Daniel Ackerman, contributing writer for TechXplore.com
The quickest way to find effective COVID-19 treatments is to repurpose existing drugs, as the process for creating new drugs takes a very long time. As a result, a research team has developed an ML-based approach to identify drugs on the market that could be used to fight COVID-19, particularly in the elderly. The system accounts for changes in gene expression in lung cells caused by both the disease and aging.
by Will Knight, contributing writer for Wired.com
An AI chess program called “Maia” uses the cutting-edge AI behind the best superhuman chess-playing games. But it focuses on predicting human moves—including the mistakes they make—instead of learning how to destroy the opponent. The application for this technology may extend far beyond chess. Learn how it was developed and other ways it could be used.
By Ecole Polytechnique Federale de Lausanne for TechXplore.com
Every time we read news online or search for somewhere to eat out, big tech collects huge amounts of our behavioral data. This information is used to customize the experience, deliver relevant content, serve effective ads, and more. New research shows for the first time that it is possible for our mobile devices to conduct machine learning as part of a distributed network—without giving big global tech companies access to our data.
By Jonty Bloom, contributing writer for BBC.com
The thought of taking orders from an AI boss might sound crazy. However, we obey orders from computers already in our lives. From traffic lights to Uber drivers accepting the next ride, it’s already happening. And while in some cases, a computer may be better equipped at management, there is a fine line that requires ethical oversight. At the end of the day, the goal is for AI bosses to help their human counterparts improve their performance.
Did you see an interesting article in the last week? Share it with us! Send it to astuttle [at] lityx.com.