Cooperative Agreement for CESU-affiliated Partner with Californian Cooperative Ecosystem Studies Unit
Sector: Rail • Location: United States of America
Source: Grants.gov
The US Geological Survey is offering a funding opportunity to a CESU partner for research in the application of Artificial Intelligence informed by explicit semantics to the practice of scientific assessments carried out by the USGS. The demand for actionable scientific findings from legislatively mandated scientific assessments in energy, mineral, biodiversity, and other National natural resource
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The US Geological Survey is offering a funding opportunity to a CESU partner for research in the application of Artificial Intelligence informed by explicit semantics to the practice of scientific assessments carried out by the USGS. The demand for actionable scientific findings from legislatively mandated scientific assessments in energy, mineral, biodiversity, and other National natural resource assets is increasing in intensity and requirements for currency with all available data, information, and knowledge. This demand can be aided through the development of “AI scientists,” intelligent agents built within a technological framework that iteratively improves through new generations of generative AI and related capabilities and trained through regular learning and adapting interactions with USGS scientists. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
