Defense Advanced Research Projects AgencyTagged Content List

Foundational Strategic Technologies and Systems

Versatile enabling technologies that could lead to entire new classes of capabilities

Showing 99 results for Tech-Foundations RSS
11/01/2018
First announced in June 2017, DARPA’s Electronics Resurgence Initiative (ERI) – a five-year, upwards of $1.5B investment in the future of domestic electronic systems – is rolling out the second phase of its research priorities. Comprised of several ongoing DARPA programs – including the six recently awarded ERI “Page 3” programs –ERI addresses long-foreseen obstacles to Moore’s Law and the challenges impeding 50 years of rapid progress in electronics advancement. The next phase of ERI will focus on further enmeshing the technology needs and capabilities of the defense enterprise with the commercial and manufacturing realities of the electronics industry.
11/16/2018
Throughout DARPA’s history, artificial intelligence (AI) has been an important area of groundbreaking research and development (R&D). In the 1960s, DARPA researchers completed some of the foundational work in the field, leading to the creation of expert systems, or the first wave of AI technologies. Since then, DARPA has funded developments in the second wave of AI – machine learning – which has significantly impacted defense and commercial capabilities in areas such as speech understanding, self-driving cars, and image recognition.
12/10/2018
Today’s critical Department of Defense (DOD) systems and platforms rely on advanced electronics to address national security objectives. To help tackle obstacles facing a half-century of electronics advancement, DARPA launched the Electronics Resurgence Initiative (ERI) – a five-year, upwards of $1.5 billion investment in the future of domestic electronic systems. In November, DARPA expanded ERI with the announcement of ERI Phase II, which seeks to further enmesh the technology needs and capabilities of the defense enterprise with the commercial and manufacturing realities of the electronics industry.
12/19/2018
On December 12, DARPA held the second preliminary event of the Spectrum Collaboration Challenge (SC2) – the world’s first collaborative machine-intelligence competition to overcome spectrum scarcity. Fifteen teams represented by members from across the academic, commercial and defense landscapes gathered at Johns Hopkins University Applied Physics Laboratory (APL) to pit their intelligent radio designs against each other in a head-to-head competition.
03/12/2019
Today’s machine learning systems are restricted by their inability to continuously learn or adapt as they encounter new situations; their programs are fixed after training, leaving them unable to react to new, unforeseen circumstances once they are fielded. Adding new information to cover programming deficits overwrites the existing training set. With current technology, this requires taking the system offline and retraining it on a dataset that incorporates the new information. It is a long and arduous process that DARPA’s Lifelong Learning Machines (L2M) program is working to overcome.