Machine Learning Accurately Assesses Inpatient Violence Risk Xtelligent Healthcare MediaApplying a machine learning model to EHR clinical notes helped providers accurately assess inpatient violence risk.
Machine Learning Algorithms Classify Neurosurgical Skill MedscapeMachine learning algorithms classified level of neurosurgical skill with high accuracy, a study found.
What the Machine Learning Value Chain Means for Geopolitics Carnegie Endowment for International PeaceCharlotte Stanton, Vivien Lung, Nancy (Hanzhuo) Zhang, Minori Ito, Steve Weber, Katherine Charlet. August 05, 2019; Article. Source: Getty….
Bringing machine learning to the masses Science MagazineYang-Hui He, a mathematical physicist at the University of London, is an expert in string theory, one of the most abstruse areas of physics. But when it comes to …
Battling Fraud and Cybercrime with Machine Learning CIOFrom the retail and payments processing industries to financial services and insurance, machine and deep learning solutions are now essential weapons in the …
Talent Matters As Much As Technology With Machine Learning Chief Executive GroupIf you want to maximize the benefit of machine learning to your business, you are going to have to use a hybrid approach of technology and people.
How JPMorgan uses artificial intelligence and machine learning Business InsiderThis story requires our BI Prime membership. To read the full article, simply click here to claim your deal and get access to all exclusive Business Insider PRIME…
Explore the Future of Tech with This AI, Machine Learning Bundle Interesting EngineeringIt should come as no surprise that the best and most important careers of both today and the future reside under the interconnected fields of machine lea…
Why AWS is building tiny AI race cars to teach machine learning TechCrunchThe AWS DeepRacer is an almost toylike 1/18th scale race car. It comes with all of the sensors and software tools to help developers build machine learning …
Three pitfalls to avoid in machine learning Nature.comAs scientists from myriad fields rush to perform algorithmic analyses, Google’s Patrick Riley calls for clear standards in research and reporting.
