How malevolent machine learning could derail AI MIT Technology ReviewAI security expert Dawn Song warns that “adversarial machine learning” could be used to reverse-engineer systems—including those used in defense.
Machine Learning Proves Effective for Opioid Risk Stratification Health IT AnalyticsMarch 25, 2019 – Machine learning algorithms can offer effective risk stratification to identify individuals at elevated risk of an opioid overdose, says a n…
Samurai Shodown Uses Deep Machine Learning To Create Opponents GameSpotSNK is bringing back its deadly weapons-based fighting game series for PS4, Xbox One, and Switch in June 2019. The PC version will launch at a later date.
Machine learning is not real learning argues a new paper Information AgeMachine learning is not real learning — machine learning would appear to be a misleading phrase, maybe as a result we need to re-think our understanding of …
What could your biz achieve with machine learning? Find out at our 2019 MCubed AI conf The RegisterEvent If you’ve had enough of the hype, and want to explore the nitty-gritty of applying artificial intelligence, machine learning and data sc…
Welcome To The Machine Learning Biases That Still Exist In 2019 Analytics India MagazineWith machine learning, the world relies on technology for recommendations recognition systems. But a lot of these systems are corrupted because they have…
Michelangelo – Machine Learning @Uber InfoQ.comI’m going to talk today about Machine Learning at Uber. There are three phases of the talk. The first one is to go over some of the interesting use cases of ML at …
How To Apply Machine Learning And Big Data To Event Processing Analytics India MagazineThe rise of merging technologies is leading the globe towards a data-centric platform where Big Data is gaining more and more prominence.
Machine learning could help scientists invent flexible electronics UChicago NewsInstitute of Molecular Engineering study creates system to predict how molecules will assemble.
Electronic structure at coarse-grained resolutions from supervised machine learning Science AdvancesComputational studies aimed at understanding conformationally dependent electronic structure in soft materials require a combination of class…
