AI News and Accomplishments

WSAI community's top 50 Innovators in 2020

Professor Francesca Rossi, IBM Fellow & AI Ethics Global Leader,  IBM Research, ranked #7 in the World Summit AI community's top 50 Innovators in 2020

ECSE Prof. Tianyi Chen is an inaugural recipient of IEEE Signal Processing Society (SPS) Best PhD dissertation award

ECSE Prof. Tianyi Chen is an inaugural recipient of IEEE Signal Processing Society (SPS) Best PhD dissertation award

Congratulations to Prof. Chen on being an inaugural recipient of IEEE Signal Processing Society (SPS) Best PhD dissertation award! 


Rensselaer News Feed

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.

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.

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. 

“Hey, be friendly to me,” Pepper says.

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.

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.

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