AI programs do, indeed, result in patterns, but, just as "The fault, dear Brutus, lies not in our stars but in ourselves," the fact of those patterns is not something in the data, it is what the ...

Machine learning is particularly good at digesting large amounts of data very quickly and identifying patterns or finding anomalies or outliers in that data. The “pattern-matching pattern” is ...

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

To them, machine learning is akin to a black box in which you blindly feed different mixes of training data in one side, twirl some knobs and dials and repeat until you get results that seem to ...

Machine learning methods are becoming increasingly important in the analysis of large-scale genomic, epigenomic, proteomic and metabolic data sets. In this Review, the authors consider the ...

Using the PMSI database, the objectives of this study were (1) to use a machine learning method to establish a typology of treatment sequences on patients with aNSCLC (stage IIIb-IV) who were alive 2 ...

Q&A: Uber’s machine learning chief says pattern-finding computing fuels ride-hailing giant by Dan Richman on October 19, 2016 at 2:45 pm October 19, 2016 at 3:19 pm Share 3 Tweet Share Reddit Email ...

Math by machine . Machine learning, in which an algorithm detects patterns in large amounts of data with minimal direction from programmers, has been put to use in a variety of pattern-finding ...