An expert in applying artificial intelligence (AI) to problems in animal ecology at Rensselaer Polytechnic Institute will join a team of researchers in a new $20 million National Science Foundation (NSF) Artificial Intelligence Research Institute announced on Thursday.

An innovative testing platform that more closely mimics what cancer encounters in the body may allow for more precise, personalized therapies by enabling the rapid study of multiple therapeutic combinations against tumor cells. The platform, which uses a three-dimensional environment to more closely mirror a tumor microenvironment, is demonstrated in research published in Communications Biology.

A number of vulnerabilities, known collectively as deep learning adversaries, hold artificial intelligence (AI) back from its full potential in applications like improving medical imaging quality and computer-aided diagnosis.

Rensselaer Polytechnic Institute and Stevens Institute of Technology announced today that they have been awarded the first-ever National Science Foundation (NSF) grant to create an industry-university cooperative research center devoted specifically to financial technology and science.  

James Hendler, the Tetherless World Professor of Computer, Web, and Cognitive Sciences at Rensselaer Polytechnic Institute, has been named chair of the Technology Policy Council for the Association for Computing Machinery (ACM).

In the wake of the COVID-19 pandemic, restaurants throughout New York City and elsewhere use bespoke outdoor structures to offer safer dining experiences for their customers. However, many of these installations do not adequately protect servers, physically separate diners, provide thermal comfort, or easily disassemble if street maintenance is needed. 

A team including Rensselaer Polytechnic Institute researcher Gaetano Montelione has identified the design principles for creating large “ideal” proteins from scratch, paving the way for the design of proteins with new biochemical functions. The results were published today in Nature Communications.

Artificial intelligence and machine learning are revolutionizing the ways in which we live, work, and spend our free time, from the smart devices in our homes to the tasks our phones can carry out. This transformation is being made possible by a surge in data and computing power that can help machine learning algorithms not only perform device-specific tasks, but also help them gain intelligence or knowledge over time.

The Jefferson Project at Lake George — a groundbreaking collaboration between IBM Research, Rensselaer Polytechnic Institute, and The FUND for Lake George — is expanding its statewide leadership role in the study of harmful algal blooms and other water-quality threats this summer with a new $1 million research project on Chautauqua Lake in Chautauqua County, made possible through funding from Chautauqua Institution and a county coalition. 

The future of quantum computing may depend on the further development and understanding of semiconductor materials known as transition metal dichalcogenides (TMDCs). These atomically thin materials develop unique and useful electrical, mechanical, and optical properties when they are manipulated by pressure, light, or temperature.