5 papers
Natural Language to What? A Vision for Intermediate Representations in NL-to-X Querying
Shengqi Li, Subhasis Dasgupta, Ilkay Altintas +1
Natural-language-initiated querying is usually framed as translation into a predetermined backend language such as SQL, Cypher, or SPARQL. That framing is appropriate when the sema…
National Data Platform's Education Hub
Pedro Ramonetti, Melissa Floca, Kate O'Laughlin +3
As demand for AI literacy and data science education grows, there is a critical need for infrastructure that bridges the gap between research data, computational resources, and edu…
BanditWare: A Contextual Bandit-based Framework for Hardware Prediction
Tainã Coleman, Hena Ahmed, Ravi Shende +2
Distributed computing systems are essential for meeting the demands of modern applications, yet transitioning from single-system to distributed environments presents significant ch…
Towards an Integrated Performance Framework for Fire Science and Management Workflows
H. Ahmed, R. Shende, I. Perez +3
Reliable performance metrics are necessary prerequisites to building large-scale end-to-end integrated workflows for collaborative scientific research, particularly within context…
Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub
Amarnath Gupta, Shweta Purawat, Subhasis Dasgupta +3
Experimental materials science is experiencing significant growth due to automated experimentation and AI techniques. Integrated autonomous platforms are emerging, combining genera…