Is using Artificial Intelligence in military applications evil? Are programs like Project Maven necessary to decrease civilian casualties and reduce error in an era with "smart" drones and other advanced weaponry?
The US Navy's antiquated maintenance system must evolve into a conditions-based system enhanced by AI.
The trend towards precision oncology and machine learning for cancer care is unmistakeable. In a fast-growing industry, however, it is important to consider the risks and unintended consequences of sharing data.
Sending an email via Outlook and want to check the recipient’s alma mater? Check. Editing your resume and want to know how others have described the role? Check. Applying for a job and want to get a sense of what your match percentage is? Check. LinkedIn has got you covered.
Paperless Parts harnesses big data to give local machine shops a big boost through rapid quotes and access to an Amazon-like marketplace.
After avoiding bankruptcy in 2003, LEGO has effectively used open innovation to align with customer demands and to become a global leader in toy innovation. Now, can LEGO’s use of open innovation maintain its growth with increasing digital competition?
How will machine learning impact gifting as a retail business? 1-800-Flowers is partnering with Watson to innovate their customer experience.
Machine learning is disrupting traditional industries such as transportation (ride-hailing) and financial services (credit scoring, robo-advisory). Can it also transform the traditionally human-intensive healthcare industry too?
Additive manufacturing shows tremendous potential for commercial and humanitarian applications, but it also presents ethical questions and the potential for unintended consequences.
This article explores the negative effects of undesired crowdsourcing and how it has been used in the battle field to yield catastrophic results.
