Blog Feature

Technology Insider | Manufacturing | Engineering

By: MIT xPRO | July 16th, 2020
4 Minute Read

Our abrupt and ongoing shift to remote work is having wide-ranging effects on design, engineering, and manufacturing industries, putting great pressure on organizations to be more agile, efficient, and flexible in a COVID-19 world.

Blog Feature

Technology Insider | Manufacturing | Engineering | Machine Learning

By: MIT xPRO | April 17th, 2020
4 Minute Read

"You don’t have to become a machine learning expert to apply these new tools effectively. Engineers who more fully understand where machine learning can help -- and where it can’t -- can achieve real gains from these tools, whatever their industry.” -- Professor Youssef Marzouk Scan what has been published and written about machine learning, and you might conclude that it is the sole domain of big tech software companies such as Amazon, Google and Facebook. Yet, beyond commonly known applications such as predicting consumer behavior and driving e-commerce with recommendations, machine learning is being applied to design new aircraft and automobiles, build safety-critical systems, conduct chemical process design, and even predict earthquakes.

Blog Feature

Technology Insider | Professional Development | Leadership

By: MIT Open Learning | April 6th, 2020
4 Minute Read

Remote work tips and tricks for managers and employees from MIT Open Learning and beyond. Between 2005 to 2017, the United States' workforce saw a 159% increase in remote work. Despite this general trend, many organizations and their employees were not prepared to make their workplaces completely remote. As working from home became a mandatory step for companies across the United States to reduce the spread of COVID-19, you may have found yourself scrambling to align with scattered colleagues, or attempting to balance your newly-entangled work and home life. 

Blog Feature

Technology Insider | Professional Development | Quantum Computing

By: MIT xPRO | February 26th, 2020
2 Minute Read

The quantum computing revolution could empower companies and entire industries to solve previously intractable problems. As investment in quantum technology grows and tech giants vie for quantum advantage, demand for professionals with foundational quantum computing knowledge and hands-on quantum experience has never been higher.  

Blog Feature

Technology Insider | Quantum Computing

By: MIT xPRO | November 15th, 2019
4 Minute Read

This October, Google announced in an article published in the journal Nature that its quantum computer, which runs on a 53-qubit chip called “Sycamore,” took only 3 minutes and 20 seconds to calculate a problem that would take the world’s fastest conventional computer 10,000 years to solve. IBM disputed Google’s quantum supremacy claim, arguing that an ideal simulation of the same task can be performed on a classical system in 2.5 days and with far greater fidelity. And the debate continues.

Blog Feature

Technology Insider | Online Education | Quantum Computing

By: MIT xPRO | July 1st, 2019
4 Minute Read

IBM Watson AI Lab and MIT xPRO Collaborate to Support Lifelong Learners IBM Watson AI Lab has collaborated with MIT xPRO to develop an online quantum computing curriculum intended for professionals and leaders in business, government, and technology interested in the theoretical and practical aspects of quantum computing (QC).

Blog Feature

Technology Insider | Quantum Computing

By: MIT xPRO | June 24th, 2019
4 Minute Read

The IBM Q Experience makes the world of quantum computing explorable and hands-on. Anyone seeking to learn QC can access IBM Q to create and run algorithms on real quantum computing hardware. While books and lectures have traditionally supported learning, offering people a way to get practical experience “by doing” helps too.