DARPA plan would reinvent not-so-clever machine learning systems


Machine learning systems maybe be smart but they have a lot to discover.

Innovative researchers with DARPA hope to achieve superior machine learning systems with a new program called Lifelong Learning Machines (L2M) which has as its primary goal to develop next-generation machine learning technologies that can learn from new situations and apply that learning to become better and more reliable than current constrained systems.

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“Life is by definition unpredictable. It is impossible for programmers to anticipate every problematic or surprising situation that might arise, which means existing ML systems remain susceptible to failures as they encounter the irregularities and unpredictability of real-world circumstances,” said L2M program manager Hava Siegelmann in a statement. “Today, if you want to extend a machine learning system’s ability to perform in a new kind of situation, you have to take the system out of service and retrain it with additional data sets relevant to that new situation. This approach is just not scalable.”

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