Artificial intelligence: Everything you need to know about AI and machine learning CBS NewsMachine superintelligence is still years away, but artificial intelligence is rapidly reshaping transportation, medicine, agriculture and more.
Apple hires senior Google AI scientist as director of machine learning AppleInsiderApple recently poached Ian Goodfellow, a noted artificial intelligence expert, away from Google as part of efforts to build out a quickly growing team focused…
Why Machine Learning Models Crash And Burn In Production ForbesYou will need to invest in order to maintain the accuracy of the machine learning products and services that your customers use.
Machine learning moves popular data elements into a bucket of their own MIT NewsLearnedSketch from MIT CSAIL uses a neural network to automatically predict if a specific element will appear frequently in a data stream. If it does, it’s place…
Machine learning is making pesto even more delicious MIT Technology ReviewResearchers at MIT have used AI to improve the flavor of basil. It’s part of a trend that is seeing artificial intelligence revolutionize farming.
Run.AI raises $13M for its distributed machine learning platform TechCrunchTel Aviv’s Run.AI, a startup that is building a new virtualization and acceleration platform for deep learning, is coming out of stealth today. As a part of this …
Machine learning for measuring roots Science DailyA multidisciplinary team of plant biologists and engineers has developed a software that uses machine learning to measure plant root length accurately.
How Machine Learning Is Transforming the Way Marketers Engage With Customers CMSWireMachine learning can help marketers gain a better understanding of customer behavior and propensities to improve the relevancy of their engagements.
How to use anomaly detection in Azure machine learning InfoWorldMachine learning is about more than vision and speech, as Azure’s latest machine learning *service* shows.
Machine learning and information architecture: Success factors ZDNetQuantity and quality of data are not enough to take full advantage of machine learning. The structures built around data — and the way data is structured …
