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Pandemic Accelerates MIT Machine Learning Initiative

eetimes.com, Sept. 09, 2020 – 

Chatbots are saving the auto insurance industry during the coronavirus pandemic. Powered by machine learning (ML), digital insurance platforms research applicants' driving records, analyze data, apply risk metrics to coverage and pricing, and issue policies without face-to-face interaction.

Covid-19 has accelerated the development of machine learning applications that solve today's problems, according to Professor Daniela Rus, faculty director for MIT'S Computer Science Artificial Intelligence Lab (CSAIL) research alliance. Last week, CSAIL launched, via webinar, MachineLearningApplications@CSAIL to develop applications for the latest ML technologies, research challenges limiting ML, and provide professional development for the digital workforce.

Businesses that support CSAIL research stand to immediately benefit from its application. Chatbots already use ML to recommend products, optimize pricing and create classifications within systems. More broadly, enterprises use ML for energy savings and predictive analytics. Restrictions on face-to-face commerce due to Covid-19 is a significant concern for retailers and businesses. Machine learning and AI have the potential to transform business processes, Rus said.

CSAIL's "no idea is too crazy" approach has already yielded numerous breakthroughs in computing technology...

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