Predicting change in the Alzheimer’s brain

MIT researchers are developing a computer system that uses genetic, demographic, and clinical data to help predict the effects of disease on brain anatomy. In experiments, they trained a machine-learning system on MRI data from patients with neurodegenerative diseases and found that supplementing that training with other patient information improved the system’s predictions. In the

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5 Ways Machine Learning Is Reshaping Our World

Who here remembers taking computer programming in school? Whether you learned programming by punching holes in a never ending series of cards, or by writing simple DOS or other computer language commands, the fact remained that computers needed an incredibly precise set of instructions to accomplish a task. The more complicated the task, the more

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Student Grants for FIRE 2015

We are pleased to announce availability of a limited number of Student Grants for attending FIRE 2015. This includes Student Travel Grants and Lower Registration rates for Student participants, details of which are mentioned at http://fire.irsi.res.in/fire/student_grants. The deadline for application is 25th November. Applicants shall be notified about the decision by 28th November. Priority will

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Data Scientist Shares his Growth Hacking Secrets

In this article, we discuss various strategies used to generate exponential traffic growth, while preserving traffic quality, and user loyalty. Our growth hacking engine is a combination of Raw data science: getting the right data sets, leveraging them, Playing with various tools and API’s: designing an automated machine-to-machine communication service between Hootsuite and Twitter /

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An Inside View of Language Technologies at Google

Natural language processing, or NLP, is the machine handling of written and spoken human communications. Methods draw on linguistics and statistics, coupled with machine learning, to model language in the service of automation. OK, that was a dry definition. Fact is, NLP is at, or near, the core of just about every information-intensive process out

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Computer, respond to this email

What I love about working at Google is the opportunity to harness cutting-edge machine intelligence for users’ benefit. Two recent Research Blog posts talked about how we’ve used machine learning in the form of deep neural networks to improve voice search and YouTube thumbnails. Today we can share something even wilder — Smart Reply, a

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