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
People with type 2 diabetes who contract COVID-19 are nearly 50% more likely to wind up in intensive care if they have poorly managed their blood sugar levels over the long-term than those with better long-term glycemic control, according to a study using anonymized health care data.
Researchers have developed a new technique for revealing defects in nanostructured vanadium oxide, a widely used transition metal with many potential applications including electrochemical anodes, optical applications, and supercapacitors.
Materials and mechanical scientists are using machine learning to rapidly vet combinations of elements that could be used in next-generation environmental barrier coatings needed to protect vehicles traveling in the extreme conditions of aerospace and space environments. The project, led by researchers at Rensselaer Polytechnic Institute, is supported by the National Science Foundation.
Faculty from Rensselaer Polytechnic Institute served as experts in an exchange of information about developments in the field of sustainable energy, large-scale environmental change, and innovative and interdisciplinary research into energy storage and smart systems in the built environment on a recent visit by two members of the U.S. Congress.
In the middle of the COVID-19 pandemic, social distancing protocols did not slow Rensselaer Polytechnic Institute students Wyatt Delans and Jake Szottfried down when they needed to design and develop code for a robotic system capable of assembling a model trophy for a class project. Using new simulation and virtual reality lab capabilities at the university, they were able to design most of the project in their dorm rooms and then test it in a virtual environment before physically manufacturing it in the Manufacturing Innovation Learning Lab (MILL) at Rensselaer.