
What’s it like to bike in Tempe? ASU researchers want to show you
An interdisciplinary team of ASU researchers is pairing storytelling and data visualization to promote sustainable transportation in the university’s backyard.
Read MoreAn interdisciplinary team of ASU researchers is pairing storytelling and data visualization to promote sustainable transportation in the university’s backyard.
Read MoreFrom solidifying Arizona as a top semiconductor hub to achieving record student enrollment, the Fulton Schools at ASU made tremendous impacts in 2022.
Read MoreIra A. Fulton Schools of Engineering students conduct use-inspired research to address real-world challenges.
Read MoreA Fulton Schools computer science doctoral student’s podcast on the fast-evolving world of artificial intelligence and machine learning draws accolades.
Read MoreASU research-based entrepreneurial ventures for computer vision traffic counting and magnetic needle steering earned their founders a competitive fellowship.
Read MoreIra A. Fulton Schools of Engineering students conduct use-inspired research to address real-world challenges in security, data, health, manufacturing and more.
Read MoreASU’s Eduardo Blanco is leading research to help computers recognize positive interpretations of negative constructions within human language.
Read MoreDimitri Bertsekas is advancing reinforcement learning research and education as a faculty member in the Ira A. Fulton Schools of Engineering.
Read MoreIn an NSF CAREER Award project, Gautam Dasarathy is developing interactive machine learning algorithms, increasing information processing effectiveness.
Read MoreMohamed Kasbaoui and Marcus Herrmann received a $300,000 grant from the National Science Foundation to work on a three-year project modeling complex fluid flows.
Read MoreUsing advanced data and information sciences, ASU engineers will enable power systems to better protect against data losses, outages and cybersecurity threats.
Read MorePavan Turaga and his research team are exploring ways of making machine learning models faster and more accurate through the use of the laws of physics.
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