Efficient Design
Efficient design focuses on optimizing the creation and operation of systems across various domains, aiming to maximize performance while minimizing resource consumption. Current research emphasizes the use of machine learning techniques, including reinforcement learning, graph neural networks, and generative adversarial networks, to explore and optimize design spaces, often incorporating novel algorithms like energy-preserving operator inference and diffusion-based design editing. These advancements improve efficiency in diverse applications, from energy systems and material science to intrusion detection and real-time image processing, leading to more effective and resource-conscious solutions.
Papers
Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding
John C. Rollman (1), Bruce Rogers (1), Hamed Zaribafzadeh (1), Daniel Buckland (2), Ursula Rogers (1), Jennifer Gagnon (1), Ozanan Meireles (1), Lindsay Jennings (3), Jim Bennett (1), Jennifer Nicholson (3), Nandan Lad (4), Linda Cendales (1), Andreas Seas (4, 5, 6), Alessandro Martinino (6), E. Shelley Hwang (1), Allan D. Kirk (1)
Powerful Design of Small Vision Transformer on CIFAR10
Gent Wu