Defense Advanced Research Projects AgencyTagged Content List

Automation Technologies

Automatic mechanical or digital operation

Showing 5 results for Automation + Tech-Foundations RSS
01/30/2017
Unveiled in March 2016, DARPA’s Spectrum Collaboration Challenge has reached an early milestone by choosing 30 contenders for the first of the three-phase competition, slated to culminate at the end of 2019 with a live match of finalists who have survived the two preliminary contests. In addition to 22 teams from academia and small and large companies, eight individuals have made it into the competition.
04/21/2017
Today is the grand opening of the Colosseum. We are not referring here to the storied concrete Colosseum in Rome, which was completed in 80 A.D. and remains famous for its ancient gladiatorial spectacles. We are talking here about DARPA’s Colosseum, a next-generation electronic emulator of the invisible electromagnetic world. Though it resides in a mere 30-foot by 20-foot server room on the campus of the Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD, the Colosseum is capable of creating a much larger, and critically important wireless world.
12/21/2017
Competitors from around the world came together this month for the preliminary round of DARPA’s Spectrum Collaboration Challenge (SC2) at The Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD. This was the first event of the three-year long tournament designed to generate new wireless paradigms and access strategies in which radio networks enhanced with artificial intelligence (AI) will autonomously collaborate and reason about how to share the increasingly congested electromagnetic (EM) spectrum.
03/21/2019
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.