Announcement here, store product page, seems to be new entries in a proprietary 900 Mhz based system they're trying to get back into a subset of IOT with after abandoning MFi all those years ago. Been ...

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Studying similarities in protein molecules has become a fundamental activity in much of biology and biomedical research, for which methods such as multiple sequence alignments are widely used. Most ...

In this work we propose a machine learning (ML) method to aid in the diagnosis of schizophrenia using electroencephalograms (EEGs) as input data. The computational algorithm not only yields a proposal ...

The problem of optimizing over random structures emerges in many areas of science and engineering, ranging from statistical physics to machine learning and artificial intelligence. For many such ...

Gap: Real implementation of finite automata use the structure of the alphabet, for example, character classes, to enable efficient data structures and algorithms. These aspects are missing in the way ...