CircleUp’s Helio software has created an edge for its freshly raised consumer-focused investment fund. But can its edge last?
Many U.S. physicians feel that health care digitization has created serious headaches with limited benefits for patients. Will machine learning soon change their minds? Partners HealthCare, a health care system that oversees two world-class Boston hospitals, certainly thinks so.
Exploring the trajectory and potential of machine learning in incentive-based insurance at Discovery Ltd.
What if computers could dream? In fact, they can. Google’s groundbreaking DeepDream software is turning AI neural networks inside out to understand how computers think.
In an effort to come back from its multi-year slump, H&M is turning to machine-learning. Is machine-learning the answer to H&M’s problems and is it too late?
The retail industry is facing a digital revolution at a pace never seen before. With the digital behemoth that is Amazon, traditional brick & mortar retailers are challenged to find ways to integrate analytics to remain competitive. This article looks at how Walmart is taking large bets in artificial intelligence and machine learning (ML) to support its long-term growth and their vision of a 'newly imagined future of retail.'
With AI and machine learning overtaking every facet of millennial industry revolution, Healthcare AI application has far-reaching potential. With advances in image recognition, improvement in robotics, Medical startups are revolutionizing the diagnostic space but are we ready for such a change? Can we allow Data to become Doctor?
Imagine preventing the onset of diabetes, Alzheimer's, or cancer through eating the right foods. Rather than wondering if kale eaten today will truly lead to longevity tomorrow, envision a grocery store shelf that told you exactly which ingredients to eat depending on your specific health needs. Food technology start-up Nuritas is hoping to make that scenario a reality. By harnessing solutions that nature has already given us, Nuritas is using machine learning to identify the exact food-derived bioactive peptides that can cure or prevent a particular disease.
How should the new leader in online English education power human learning with machine learning?
In a small county in northern England, a police constabulary is taking the first faltering steps to outsourcing their recidivism decisions to a machine. Can machines do it better than humans, and who decides if they should be allowed?