On June 14, the Defense Advanced Research Projects Agency
(DARPA) posted a request for submissions for Virtual Intelligence
Processing (VIP). Proposals in response to this notice are due no
later than 4:00 p.m. Eastern on July 15.
The Defense Advanced Research Projects Agency (DARPA) is
issuing an Artificial Intelligence Exploration (AIE) Opportunity inviting
submissions of innovative basic or applied research concepts in the technical
domain of third wave AI exploring radically new and heretofore underexplored,
brain-inspired and massively-scalable computing methodologies for novel machine
learning approaches that have the potential to support solutions to real-world
problems impacting the Department of Defense. This AIE Opportunity is issued
under the Program Announcement for AIE, DARPA-PA-18-02. All awards will be made
in the form of an Other Transaction (OT) for prototype project. The total award
value for the combined Phase 1 base and Phase 2 option is limited to
$1,000,000. This total award value includes Government funding and performer
cost share, if required.
Background
Successful integration of next generation AI into DoD
applications must be able to deal with incomplete, sparse and noisy data as
well as unexpected circumstances that might arise while solving real world
problems. Thus, there is need for new mathematical models for computing leading
to AI algorithms that are efficient and robust, can learn new concepts with
very few examples, and can guide the future development of novel hardware to
support them.
Our best model for intelligence is ourselves, and thus next
generation AI will benefit from computing models and processing architectures
that can support robust and massive parallelism such as is the case in the
human neocortex. In order to reverse engineer the human brain we need to apply
new mathematical models for computing that are complete and transparent and can
inform next generation processors that are better suited for third wave AI.
Objective
The goal of the VIP program is to explore novel and
heretofore under-explored mathematical and computational
“brain-inspired” massively-scalable approaches that have the
potential to support solutions to real-world DoD problems. In particular, it
aims to develop algorithms based on mathematical models and representations
that have not been the focus of AI technologies development, and that will
inform next generation processors that can aid third wave AI.
Proposers should address the fundamental performance limits of novel algorithms based on unexplored mathematical approaches when applied to a relevant DoD application. Specifically, proposers must describe their novel approach in terms of accuracy, robustness to environment, data and computational requirements as well as the challenges that need to be overcome for its implementation. They must also quantitatively compare the chosen approach with current state-of-the-art for the same application. The program is also interested in hardware simulations but not in actual hardware implementation.
Full information is available here.
Source: FedBizOpps
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