RSS feed source: National Science Foundation

Synopsis

The NSF SBIR/STTR and SBIR/STTR Fast-Track pilot programs support moving scientific excellence and technological innovation from the lab to the market. By funding startups and small businesses, NSF helps build a strong national economy and stimulates the creation of novel products, services, and solutions in private, public, or government sectors with potential for broad impact; strengthens the role of small business in meeting federal research and development needs; increases the commercial application of federally supported research results; and develops and increases the US workforce, especially by fostering and encouraging participation by socially and economically disadvantaged and women-owned small businesses.

These NSF SBIR/STTR Fast-Track pilot programs provide fixed amount cooperative agreements for the development of a broad range of technologies based on discoveries in science and engineering with potential for societal and economic impacts. Unlike fundamental or basic research activities that focus on scientific and engineering discovery

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RSS feed source: National Science Foundation

Synopsis

The NSF SBIR/STTR programs provide non-dilutive funds for use-inspired research and development (R&D) of unproven, leading-edge, technology innovations that address societal challenges. By investing federal research and development funds into startups and small businesses, NSF helps build a strong national economy and stimulates the creation of novel products, services, and solutions in the private sector; strengthens the role of small business in meeting federal research and development needs; increases the commercial application of federally-supported research results; and develops and increases the U.S. workforce, especially by fostering and encouraging participation by socially and economically-disadvantaged and women-owned small businesses.

NSF seeks unproven, leading-edge technology innovations that demonstrate the following characteristics:

The innovations are underpinned and enabled by a new scientific discovery or meaningful engineering innovation. The innovations still require intensive technical research and development to be fully embedded in a reliable product or service. The

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RSS feed source: National Science Foundation

Synopsis

Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology.  

The National

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RSS feed source: National Science Foundation

Synopsis

The Mathematical Biology Program supports research in all areas of mathematical sciences with relevance to the biological sciences. Successful proposals must demonstrate mathematical innovation, biological relevance and significance, and strong integration between mathematics and biology.

Some projects of interest to the Mathematical Biology Program may include development of mathematical theories, methodologies, and tools traditionally seen in other disciplinary programs within the Division of Mathematical Sciences. In general, if a proposal is appropriate for review by more than one NSF program, it is advisable to contact the program officers handling each program to determine when and where the proposal should be submitted and to facilitate the review process.

The Mathematical Biology Program regularly seeks joint reviews of proposals with programs in the Directorates of Biological Sciences and other relevant programs. Investigators are encouraged to discuss their project with program officers in relevant areas to

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