Conveners
Lightning talk III: Engineering for data-driven discovery
- Shih-Chieh Hsu (University of Washington Seattle (US))
- Joshua Agar
New techniques in AI are rapidly being developed, extended and applied to challenging problems in biology. At the same time, as new assays, new data efforts, and greater understanding is developed in biology, the class and scope of problems that are amendable to AI approaches is growing. In order to survey the current frontier of the interface between AI methodology and biology and to chart...
In this short lightning talk I will discuss the Acceleration Consortium's annual Accelerate conference, which we ran in 2022 and 2023 in Toronto and are in the early stages of planning 2024 in a different host city. Accelerate spans the entire field of accelerated discovery with AI and automation: computational tools, high-throughput and autonomous experimentation, the ethics of accelerated...
A Research Roadmap for the Next Pandemic PREPARE (Pandemic Research for Preparedness and Resilience) is an NSF CISE-sponsored virtual organization tasked with fostering research collaborations and synthesizing critical pandemic-related computing research into a roadmap to help inform NSF funding opportunities that will aid our nation’s effective response to the next pandemic. Since we started...
With the quickly growing quantity and variety of transportation data, Artificial intelligence (AI) technologies are revolutionizing transportation research from system management to automated vehicle and infrastructure control. Emerging AI technologies combined with other analytical methods will lead to improved scientific understandings, transformative methods, and innovative, proactive...
Baskar Ganapathysubramanian (Iowa State)
