News
The Future of Computing Research Collaboration (FCRC) 2026 Annual Workshop, which will take place on Wednesday, February 25, 2026, from 9:00 AM – 4:30 PM (EDT) at the CBIS Building at RPI.
The School of Science at Rensselaer Polytechnic Institute (RPI) has launched a new minor in quantum computing, positioning students at the forefront of one of the most rapidly developing fields in technology.
RPI’s artificial intelligence club, RPai, hosted an exclusive fireside chat with Curtis R. Priem ’82, co-founder of NVIDIA and a key figure shaping the modern AI revolution. The conversation was led by RPai president Aashrut Jain ’27, and discussion points were guided by questions from RPai members and other RPI students.
Join us via Microsoft Teams, Tuesday, November 4, 2025, 1:00 PM - 2:00 PM Eastern, for an Information Session and Workshop concerning the Request for Proposals: Track-4, Accelerate Quantum Computing Research, 2026 Projects.
Please join us on Thursday, August 7, 11am – 12pm for an Information Session regarding the Request for Joint Rensselaer/IBM Research Proposals. This RFP is part of the Future of Computing Research Collaboration (FCRC), a collaborative research initiative between RPI and IBM to drive world class innovation and fundamental advances in artificial intelligence algorithm, AI hardware software co-design and Semiconductor Technology for the benefit of society.
New research from Rensselaer Polytechnic Institute (RPI) could help shape the future of artificial intelligence by making AI systems less resource-intensive, higher performing, and designed to emulate the human brain.
New research from Rensselaer Polytechnic Institute (RPI) could help shape the future of artificial intelligence by making AI systems less resource-intensive, higher performing, and designed to emulate the human brain.
Artificial intelligence isn’t just about algorithms and automation — it’s rooted in centuries of human fascination with consciousness, creativity, and what it means to be human.
Researchers at Rensselaer Polytechnic Institute (RPI) are tackling one of the most complex challenges in the world of quantum information – how to create reliable, scalable networks that can connect quantum systems over distances.
Lung cancer is one of the most challenging diseases, making early diagnosis crucial for effective treatment. Fortunately, advancements in artificial intelligence (AI) are transforming lung cancer screening, improving both accuracy and efficiency.
