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IBM “Road to Practitioner” Quantum Program

IBM has announced its Road to Practitioner (R2P) program---a multi-week online quantum computing course beginning in May, taught by members of IBM’s quantum team. This is an excellent opportunity to learn about the current state of quantum computing and algorithms in a focused, instructor-led setting. Visit https://foci.rpi.edu/news-and-events for more details and the link to register.

Ribbon-Cutting for the Gene Haas Manufacturing Teaching & Learning Foundry

Date: Wednesday, April 15, 2026 2:00 PM - 3:00 PM - Ribbon-Cutting Ceremony for the Gene Haas Manufacturing Teaching & Learning Foundry, a newly renovated facility dedicated to educating the next generation of leaders and innovators in manufacturing through advanced, hands-on learning. This event will bring together representatives from the Gene Haas Foundation, RPI community, RPI alumni, industry partners, local educators, and community members to celebrate the opening of this innovative teaching and learning space. LOCATION:JEC 2nd Fl Lobb

CEE Seminar Series - Dr. Mohammed Abdellatef Assistant Professor Florida Atlantic University

Date: Wednesday, April 15, 2026 1:00 PM - 2:00 PM - “Rheological Characterization of 3D-Printable Concrete Materials” The modern state of construction has been exploring the use of additive manufacturing technologies, commonly referred to as concrete 3D-Printing, in order to optimize several factors impacting the time and cost aspects related to the construction process. Unlike conventional concrete materials, 3D-printed concrete is a pseudo-solid material that allows for layer extrusion techniques without the need for formwork.

Math Colloquium: Dr. Malik Magdon-Ismail from Computer Science-RPI

Date: Wednesday, April 15, 2026 11:00 AM - 12:00 PM - This Mathematical Sciences Colloquium will feature a presentation titled "Label Complexity in Machine Learning" by Dr. Malik Magdon-Ismail. He is a Professor of Computer Science at Rensselaer Polytechnic Institute, where he has been a faculty member since 2000. His research is in machine learning, complex systems, and decision-making from data.
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