Opportunity Information: Apply for DARPA BAA 10 53
Apply for DARPA BAA 10 53
- The DARPA Transformational Convergence Technology in the science and technology and other research and development sector is offering a public funding opportunity titled "Minds Eye" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 12.910 Research and Technology Development.
- This funding opportunity was created on Mar 26, 2010 and posted on Mar 25, 2010.
- Applicants must submit their applications by May 10, 2010. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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Opportunity Summary:
DARPA's "Mind's Eye" grant opportunity (Funding Opportunity Number DARPA-BAA-10-53) is a research and development program aimed at pushing machine vision beyond basic pattern recognition and toward something closer to animal and human visual intelligence. The core idea is to fund work that enables machines to understand visual information in a more robust, general way: not just identifying objects in an image, but grasping how scenes are structured, how objects relate in space, and how actions unfold over time. The program description emphasizes that humans can effortlessly perform many visual tasks that remain difficult for artificial intelligence, especially tasks requiring strong spatial judgment, learning new concepts directly from visual experience, and reasoning about events rather than isolated frames.
A central theme of the opportunity is spatiotemporal understanding. DARPA is specifically interested in systems that can learn and represent new concepts about what is happening in a scene as it changes, including the ability to interpret actions involving objects (for example, interactions like picking up, placing, moving, colliding, entering, exiting, and other event-like relationships). The solicitation also highlights a more "cognitive" capability: humans can visualize scenes and objects internally and mentally manipulate those imagined scenes to solve problems. In practical terms, the program is looking for machine implementations that can form internal models of a scene, reason over them, and use those models to make judgments or predictions, rather than relying only on direct template matching or narrow, brittle classifiers.
From an administrative and funding standpoint, this is a discretionary science and technology research opportunity under CFDA 12.910 (Research and Technology Development). DARPA lists multiple possible award instruments, including cooperative agreements, grants, "other" transactions, and procurement contracts, which signals flexibility in how projects may be supported depending on the nature of the proposal and the relationship DARPA expects to maintain during performance. The opportunity does not require cost sharing or matching. Eligibility is listed as unrestricted, meaning proposals could be submitted by a wide range of entities (such as universities, companies, nonprofits, federally funded research and development centers, or other organizations), subject to any additional eligibility clarifications in the full announcement.
Key dates in the posting show that the opportunity was posted March 25, 2010 (created March 26, 2010), with an original and current closing date of May 10, 2010, and an archive date of September 21, 2010, indicating it was a time-limited solicitation that is now closed. The award ceiling and floor are both listed as 0 in the summary data, which typically means the specific funding levels were not captured in the public summary fields and would need to be confirmed in the attached full announcement or related posting. The announcement is associated with DARPA's Transformational Convergence Technology area, reflecting its focus on high-risk, high-reward advances that could generalize across many defense and non-defense applications.
In short, "Mind's Eye" is about developing next-generation machine vision systems that can perceive and reason more like humans do: learning new visual concepts from experience, understanding events and actions in context, building internal representations of scenes, and manipulating those representations to support problem-solving. The full announcement was available through FedBizOpps, and the listed point of contact for access issues was James Donlon, the BAA Coordinator.
FAQs: DARPA "Mind's Eye" (DARPA-BAA-10-53)
What is the DARPA "Mind's Eye" grant opportunity?
DARPA's "Mind's Eye" (Funding Opportunity Number DARPA-BAA-10-53) is a research and development program focused on advancing machine vision beyond basic pattern recognition. The goal is to support systems that can understand visual scenes more like animals and humans do, including how scenes are structured, how objects relate in space, and how actions unfold over time.
What problem is this program trying to solve?
The opportunity targets visual tasks that humans handle effortlessly but that remain difficult for artificial intelligence, especially tasks involving strong spatial judgment, learning new concepts directly from visual experience, and reasoning about events rather than treating images as isolated frames.
What kinds of technical capabilities is DARPA looking for?
The solicitation emphasizes robust, general visual intelligence. That includes understanding scene structure, interpreting object relationships in space, learning new visual concepts from experience, and reasoning about what is happening over time rather than only detecting objects in single images.
What does "spatiotemporal understanding" mean in the context of this program?
Spatiotemporal understanding refers to interpreting what is happening in a scene as it changes over time, including how objects move and interact, and how actions and events unfold across frames rather than being judged from one static image.
What kinds of actions or events does the program highlight?
DARPA specifically calls out the need to interpret actions involving objects and event-like relationships, including interactions such as picking up, placing, moving, colliding, entering, and exiting.
Is this program only about identifying objects in images?
No. The central aim is to move beyond narrow object identification toward understanding how a scene is organized, how objects relate to one another, and what actions and events are occurring over time.
Does the program mention "cognitive" or human-like reasoning?
Yes. A major theme is that humans can internally visualize scenes and mentally manipulate those imagined scenes to solve problems. The program is interested in machine implementations that can form internal scene models, reason over them, and use them to make judgments or predictions.
What is meant by "internal models" of a scene?
In this program description, internal models refer to machine representations of a scene that support reasoning and prediction. Instead of relying only on template matching or brittle classifiers, the system would maintain a structured understanding of objects, relationships, and events and use that representation for decision-making.
What is the CFDA number associated with this opportunity?
The opportunity is listed under CFDA 12.910 (Research and Technology Development).
What type of funding opportunity is this?
It is described as a discretionary science and technology research opportunity.
What award instruments might DARPA use for "Mind's Eye"?
DARPA lists multiple possible award instruments, including cooperative agreements, grants, "other" transactions, and procurement contracts. This indicates flexibility in how projects may be supported, depending on the proposal and the working relationship DARPA anticipates during performance.
Is cost sharing or matching required?
No. The summary states that cost sharing or matching is not required.
Who is eligible to apply?
Eligibility is listed as unrestricted. This generally implies that a wide range of entities may submit proposals (such as universities, companies, nonprofits, federally funded research and development centers, or other organizations), subject to any additional clarifications in the full announcement.
When was the opportunity posted and when did it close?
The posting date is March 25, 2010 (created March 26, 2010). The original and current closing date is May 10, 2010.
Is this solicitation still open?
No. The archive date is September 21, 2010, and the listed closing date was May 10, 2010, indicating it was time-limited and is now closed.
Where was the full announcement available?
The full announcement was available through FedBizOpps, as referenced in the opportunity description.
Who is the point of contact listed for access issues?
The listed point of contact for access issues is James Donlon, identified as the BAA Coordinator.
How much funding was available per award?
The public summary fields list the award ceiling and award floor as 0, which typically indicates that specific funding levels were not captured in those summary fields. The opportunity description notes that funding details would need to be confirmed in the attached full announcement or related posting.
What technology area is this opportunity associated with?
The announcement is associated with DARPA's Transformational Convergence Technology area, reflecting a focus on high-risk, high-reward advances that could generalize across defense and non-defense applications.
What is the main takeaway from the "Mind's Eye" program description?
In short, "Mind's Eye" is aimed at next-generation machine vision systems that can learn new visual concepts from experience, understand events and actions in context, build internal representations of scenes, and manipulate those representations to support reasoning, judgments, and predictions.
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