Research

Research scientists and faculty at Rensselaer join forces with IBM researchers to collaborate on projects that push the frontiers in Artificial Intelligence.

Hand holding digital art with the letters AI
AI and Machine Learning are rapidly evolving, driven by advances in data, computing, and algorithms. Research for 2023-2024 focuses on enhancing large language and foundation models, with efforts to improve their efficiency, automation, and integration into real-world tasks.
Silicon Wafers and Microcircuits with Automation system control application
The Semiconductor Technology Track focuses on two key areas essential for the continued scaling of semiconductor systems: BEOL interconnect technologies and chiplet technologies. Research in this area includes both experimental work on material development and theoretical studies using AI/ML and simulations to improve interconnect performance.
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