Artificial Intelligence
In short: The Artificial Intelligence topic focuses on cutting-edge technologies in the field of deep learning-based AI systems and AI-based hardware.
Excerpt from the official topic description. Read the full solicitation before deciding to apply.
| Agency | National Science Foundation |
|---|---|
| Program | — |
| Phase | BOTH, BOTH |
| Topic number | AI |
| Solicitation | NSF 26-510 |
| Release date | May 22, 2026 |
| Open date | May 22, 2026 |
| Close date | Jul 7, 2027 |
| Status on SBIR.gov | Open |
View official solicitation SBIR.gov topic page
Full description (from SBIR.gov)
The Artificial Intelligence topic focuses on cutting-edge technologies in the field of deep learning-based AI systems and AI-based hardware. The recent successes in computer vision, machine translation, natural-language processing and speech recognition have led to widespread use of learning-based systems in production and an unprecedented growth in AI systems that interact frequently with and/or on behalf of humans in highly personalized contexts. This topic especially emphasizes next-generation AI technologies that are not only safe and reliable but also fair, robust against sophisticated adversaries, privacy preserving, and efficient in terms of computational resources, energy, training data size, etc. It also includes cutting-edge hardware technologies needed for sustainable AI (i.e., novel devices and architectures to support the tremendous processing power needed by AI technologies), edge devices (i.e., intelligent systems on a chip for applications such as voice assistants) and AI technologies that lead to better hardware systems. These subtopics are only meant to serve as examples. All proposals that are focused on developing a new high-risk technical innovation and that have significant potential commercial and societal impact are welcome to apply, regardless of subtopic.
Possibly related past awards
- SBIR Phase I:Robotic system outputting natural tactile-sign language to aid Deaf and Deafblind communication by Samantha Johnson (Phase I, 2023, $255,975)
- SBIR Phase I:Sown To Grow - Measuring Growth in Trusting Relationships between Students and Educators with Natural Language Processing and Machine Learning Technologies by SOWN TO GROW, INC. (Phase I, 2023, $275,000)
- SBIR Phase I:Handheld Devices for Practical Simultaneous Translation by LEXEL SYNERGETICS, INC. (Phase I, 2022, $255,994)
Matched by keyword overlap within the same agency from the SBIR.gov public award dataset. Not an official linkage.
See open topics like this one →
Technology areas: Artificial intelligence & machine learning
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