AI News and Accomplishments
January 22, 2020
Four experts in diverse aspects of artificial intelligence have joined Rensselaer Polytechnic Institute as part of the Artificial Intelligence Research Collaboration (AIRC), a recently formed joint initiative of Rensselaer and IBM Research.
June 10, 2019
TROY, N.Y. —Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality.
Those new research findings were just published in Nature Machine Intelligence by engineers at Rensselaer Polytechnic Institute and radiologists at Massachusetts General Hospital and Harvard Medical School.
April 10, 2019
TROY, N.Y. — A wide-eyed, soft-spoken robot named Pepper motors around the Intelligent Systems Lab at Rensselaer Polytechnic Institute. One of the researchers tests Pepper, making various gestures as the robot accurately describes what he’s doing. When he crosses his arms, the robot identifies from his body language that something is off.
March 6, 2019
TROY, N.Y. — Generating comprehensive molecular images of organs and tumors in living organisms can be performed at ultra-fast speed using a new deep learning approach to image reconstruction developed by researchers at Rensselaer Polytechnic Institute.
The research team’s new technique has the potential to vastly improve the quality and speed of imaging in live subjects and was the focus of an article recently published in Light: Science and Applications, a Nature journal.
February 6, 2019
TROY, N.Y. — Researchers at Rensselaer Polytechnic Institute who developed a blood test to help diagnose autism spectrum disorder have now successfully applied their distinctive big data-based approach to evaluating possible treatments.
Rensselaer News Feed
Scientists at Rensselaer Polytechnic Institute (RPI), through biomolecular research and testing, have discovered a potential topical therapeutic to treat monkeypox.
Autism Spectrum Disorder (ASD) is a “blanket” diagnosis applied to individuals with vastly differing behavioral as well as co-occurring medical conditions. Using very large medical-record data sets, researchers from Rensselaer Polytechnic Institute (RPI) have found that, not only can children be broken into subgroups based upon those co-occurring conditions, but that those subgroups are also associated with differing maternal prenatal risk factors. The research is published today in the journal Autism Research.
Rensselaer Professor Jie Lian has been awarded $500,000 from the U.S. Department of Energy as part of the Nuclear Energy University Research Program (NEUP) to conduct research and develop new materials that will make advanced nuclear reactors more resilient and economically efficient. Dr. Lian, the principle investigator of the project, will be joined by collaborators Rahul Rahul, Rensselaer Polytechnic Institute; Suvranu De, Florida A&M University-Florida State University; Lu Cai, Idaho National Laboratory Program; Patrick Shower, GE Global Research Center; and Eric Brown, U.S.
Concerns regarding scarcity, high prices, and safety regarding the long-term use of lithium-ion batteries has prompted a team of researchers from Rensselaer Polytechnic Institute to propose a greener, more efficient, and less expensive energy storage alternative.
The mental workload of intensive care unit nurses can successfully be evaluated using eye-movement tracking glasses.