Machine Learning News Issue 32

Welcome to the Momenta Learning News on Machine Learning. This is issue 32, please feel free to share this post.

Data-centric HPC Accelerates Statistical Inference and Machine Learning University of Michigan selected IBM to develop and deliver data-centric supercomputing systems to increase the pace of scientific discovery in fields as diverse as aircraft and rocket engine design, cardiovascular disease treatment, materials physics, climate modeling and cosmology. Researchers designed a computing resource, ConFlux, to enable clusters to communicate seamlessly and at interactive speeds with data-intensive operations.

Using machine learning to reduce domestic violence -- GCN Using machine-learning to forecast which accused perpetrators of domestic violence -- particularly those whose crimes result in injuries -- will be re-arrested on similar charges can cut such recidivism in half, according to a recent report.

Machine Learning Puts a Bow on Enhancer-Promoter Predictions | GEN News Highlights | GEN A new computational method can read genomic signatures on ribbons of DNA that loop, bow-like, to facilitate interactions between distantly situated enhancers and promoters. The method, called TargetFinder, uses machine learning to distinguish between interacting and noninteracting enhancer-promoter pairs, and it has generated accurate predictions 85% of the time, suggesting that it can identify subtle gene regulation mechanisms-and thereby reveal new therapeutic targets for genetic disorders.

Money 20/20 Europe: Data scientists are farmers and machine learning is statistics on steroids Data scientists can provide firms with access to a magical world of machine learning and all that it promises. But what demarcates this hallowed realm of statistical analysis and its proponents? This question was posed to a panel of experts in the field at Money 20/20 Europe in Copenhagen.

Is machine learning smart enough to help industry? How access to massive amounts of data benefits machine design, control systems, production, maintenance and business. By Dave Perkon, technical editor Dave Perkon is technical editor for Control Design. He has engineered and managed automation projects for Fortune 500 companies in the medical, automotive, semiconductor, defense and solar industries.

Machine Learning's Many Tentacles Increasing application of artificial intelligence and machine learning for organizing and analyzing financial firms' data is reaching into various facets of their activity. Michael Shashoua reports on inroads into customer data, identifiers, improving data quality and structuring disorganized information.,Reference Data & Data Management ,Data,State Street,KYC,Eagle Investment Systems,Portware,AltX,Machine Learning,artificial intelligence

Microsoft's machine learning vision includes security, too Microsoft CEO Satya Nadella talked a lot about machine learning during his keynote at Microsoft Build 2016, but neither he nor the executives on stage covered how machine learning can drive security applications. But don't let its absence onstage fool you, as several of Microsoft's latest security moves rely on the company's machine learning investments.

Machine learning and stop-and-think To create an inclusive community that successfully tackles issues like discrimination, we need open lines of communication between faculty and students. When that communication breaks down, a misunderstanding can turn ugly and prevent real progress. We saw an example of this recently when Professor Satyen Kale assigned his machine learning class a project: to train classifiers on the New York Police Department's stop-and-frisk dataset.

Machine Learning: The Top Five Languages Paving The Future The future of machine learning seems to be very bright, with leaping advances in software & technology and the proliferation of the cloud. It is currently one of the fastest emerging technologies in the world, with many experts claiming that it holds the key to unlocking the doors to computing's most mystical evolution- artificial intelligence.

'Machine learning' is a revolution as big as the internet or personal computers Sean Gallup / Getty We're in the middle of a historic moment. It used to be the case that you had to program a computer so that it knew how to do things. Now computers can learn from experience. The breakthrough is called "machine learning."