By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews. […]
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By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews. […]
The technique could make AI systems better at complex tasks that involve variability. […]
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse. […]
The Department of Civil and Environmental Engineering is pleased to announce the following faculty promotions: Josephine Carstensen has been promoted to Associate Professor without Tenure effective July 1, 2024. Professor Carstensen received her B.Sc. and M.Sc. […]
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation. […]
Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning. […]
A new study finds human supervisors have the potential to reduce barriers to deploying autonomous vehicles. […]
The award will support the advancement of large-scale cyber-physical systems Cathy Wu has received a Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF), its most prestigious honor for junior faculty members, for […]
Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights No one likes sitting at a red light. But signalized intersections aren’t just a minor nuisance for drivers; vehicles consume fuel and emit […]