One big challenge in A.I. is building machines that can proactively collect and interpret data, spot patterns and incorporate context, and ultimately learn in real time.
New research into real-time machine learning (RTML) shows that it’s possible to use a continual flow of transactional data and adjust models in real-time. This signals a big change in how data moves, and in how we retrieve information.
The National Science Foundation launched a $10 million grant program to catalyze research in this area, though all of the big tech companies are working closely to advance RTML too.
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