Oct 26 2016 – Emily Mullin – MIT Technology Review
The Department of Defense is backing an effort to use machine learning to find clues about tumor biology.
Oct 18 2016 – Nanette Byrnes – MIT Technology Review
Even though the number of people working in textile manufacturing has gone down due to automation in Greenville, SC, the city is still booming.
Oct 14 2016 – Tom Simonite – MIT Technology Review
Alphabet and Johnson & Johnson say dexterous robots equipped with artificial intelligence will make surgeons more productive.
Sept 22 2016 – Steven Greenhouse – LA Times
Driverless cars would replace almost 3% of the workforce, so retraining this sector may be necessary.
Sept 4 2016 – The Drucker Institute
In this edition of MONDAY*, the Drucker Institute’s digital magazine, Phalana Tiller talks with Andrew McAfee, Co-Director and Principal Research Scientist of the MIT Initiative on the Digital Economy, about ways that leaders can best prepare for new technologies that promise to raise service productivity.
Jul 2016 – M. Chui, J Manyika & M. Miremadi – McKinsey Quarterly
Automation has the potential to transform sectors such as healthcare and finance.
May 14 2016 – M. Artz, T. Gregory & U. Zierahn – OECD
A different approach on determining how many jobs are automatable with a focus on single job-tasks.
March 21 2016 – Ethan Wolff-Mann – Time
According to a new report from Citibank analysts, there’s a target painted on a new group’s back: bank workers.
March 9 2016 – Simon Parkin – MIT Technology Review
U.K.-based startup Babylon will launch an app later this year that will listen to your symptoms and provide medical advice. Will it help or hinder the health-care system?
Feb 25 2015 – Scott Santens – Boston Globe
Deep learning in robots is game-changing and no nation is ready for the impact they’ll have.