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Artificial Intelligence Research

Artificial Intelligence Research

Artificial agents, such as today's smartphone personal assistants or tomorrow's self-driving cars, need to be able to make sense of their environment in order to behave in an intelligent manner. Russ College faculty conduct innovative research in artificial intelligence areas such as computer vision and natural language processing, while also making novel contributions to underlying machine learning and pattern recognition techniques.

The high impact of these innovations is predicated on mutually beneficial interactions between the AI research pursued by EECS faculty and a growing number of diverse application areas including health, computer architecture, software engineering, and autonomous vehicles.

Recent Faculty Accomplishments

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    EECS Faculty Embrace AI in Research, Teaching


    Tools that were expensive even a few years ago are now cheaper, faculty discussed at the workshop, which covered research breakthroughs and how to make AI education accessible to students across disciplines. 

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    Ph.D. Student Co-Authors IEEE Award-Winning Paper


    Zachary Takacs' paper, “Quantum Integrated Photonic Network-on-Chip for Manycore Architectures,” showed how silicon photonics can support secure quantum communication between cores inside a chip and won an IEEE Quantum Week 2025 best paper award.