DOE DE-FOA-0003264: 2024 Advancements in Artificial Intelligence (AI) for Science

 Limit: 15* // Tickets Available: 10

PO Confirmed DOE will accept 15 applications, 3 for each of the 5 research areas.

 

L. Xuan ( Computer science) - Research Area 2: AI Innovations for Scientific Knowledge Synthesis and Software Development
M. Chertkov (Pharmacy) - Research area 3: AI Innovations for Computational Decision Support of Complex Systems. 
R. Tandon (Electrical & Computer Engineering) // Subaward Lawrence Berkeley National Lab - Research Area 4: Federated and privacy-preserving for foundation and other AI models for science.
S. Salehi (Electrical and Computer Engineering) - Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures. 
M. Krunz (Electrical & Computer Engineering) -  Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures.
T. Adegbija (Electrical & Computer Engineering) -  Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures.

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. Specifically, advancements in this area are sought that can enable the development of: 

• Foundation models for computational science;
• Automated scientific workflows and laboratories;
• Scientific programming and scientific-knowledge-management systems;
• Federated and privacy-preserving training for foundation and other AI models for science; and
• Energy-efficient AI algorithms and hardware for science.