Today, Sentient released five papers and a web portal reporting significant progress in taking this step, focusing on three areas: (1) DL architectures are evolved to exceed state of the art in three standard
machine learning benchmarks; (2) techniques are developed for increasing performance and reliability of evolution in real - world applications; and (3) evolutionary problem solving is demonstrated on very hard computational problems.
Not exact matches
Daniel Kurnos, an analyst at the
Benchmark Company, also cited the difficulty of creating a popular dating site, cautioning that it was not an overnight project and one that requires much more than sheer
machine learning.
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machine learning.
What it's trying to do: Basically, the tool infuses
machine learning into invoicing analysis to provide «better
benchmarking and identification of noncompliant invoices,» Moran said.