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.
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.
This trend is part of our section on Artificial Intelligence. Other trends in this section include:
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