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The current generation of machine learning (ML) systems would not have been possible without significant computing advances made over the past few decades. The development of the graphics-processing unit (GPU) was critical to the advancement of ML as it provided new levels of compute power needed for ML systems to process and train on large data sets. As the field of artificial intelligence looks towards advancing beyond today’s ML capabilities, pushing into the realms of “learning” in real-time, new levels of computing are required.
April 2, 2019,
DARPA Conference Center
The Microsystems Technology Office is holding a Proposers Day meeting to provide information to potential proposers on the objectives of the new Real Time Machine Learning (RTML) program and to facilitate teaming. The principal objective of RTML is to reduce the design costs associated with developing Application-Specific Integrated Circuits (ASICs) tailored for emerging machine learning (ML) applications. Researchers on the program will develop a software platform capable of automatically generating novel chip designs based on ML frameworks.