Overview/Purpose/ Description of Procurement The purpose of this RFI is to enhance DISA’s Defensive Cyber Operations (DCO) using Artificial Intelligence (AI) and Machine Learning (ML) models, tools, and services. DISA is a United States Department of Defense combat support agency that is composed of more than 7,000 military and civilian employees.
images by way of artificial intelligence (AI) and machine learning (ML).
The DAF is seeking information to gain an in-depth knowledge of state-of-the-art commercialized artificial intelligence and automation technologies in a variety of mission applications to include data collection and curation, machine to machine operations, large language models, and continuous and/or reinforced learning training models.SUBMISSION INSTRUCTIONS and FORMATTING REQUIREMENTSInterested vendors are requested to submit an RFI response in
and to characterize terrain obstaclesAutonomous ground and air structures, propulsion, and mobility componentsTechnologies to significantly reduce logistical burdens and/or make them autonomousArtificial Intelligence and Machine Learning Algorithms (AI/ML) - The Army is interested in core algorithmic improvements such as: Scaling supervised learning methods to operate on larger data sets in shorter periods of time and/or with reduced computation,
Implementing a polypharmacology strategy in drug discovery relies on advances in computational approaches such as data mining, ligand-based analysis and virtual screening. Since drug discovery is a multidimensional search and optimization process, artificial intelligence and machine learning (AI/ML) technologies trained in polypharmacology could significantly improve SUD discovery and development efforts.
Implementing a polypharmacology strategy in drug discovery relies on advances in computational approaches such as data mining, ligand-based analysis and virtual screening. Since drug discovery is a multidimensional search and optimization process, artificial intelligence and machine learning (AI/ML) technologies trained in polypharmacology could significantly improve SUD discovery and development efforts.
CISA’s Emergency Communications Division (ECD) will discuss the ways Applied Artificial Intelligence (AI) and Machine Learning (ML) are assessed and used to enhance the communication network of an Emergency Communications Center, as well as the importance of Information Sharing Framework (ISF) Service platform for emergency communications.
