Recently, two teams from the Rensselaer Cybersecurity Collaboratory (RCC) competed in University of Connecticut's annual CyberSEED tournament.

We all know how a bad night’s sleep can affect how we feel. In fact, the disruption of our sleep has been implicated at many levels of human disease, including cancer, diabetes, heart disease, and disorders associated with aging.

Today, Rensselaer Polytechnic Institute (RPI) and IBM officially unveiled the world’s first-ever IBM quantum computer on a university campus. Building on RPI’s bicentennial celebration of 200 years of firsts, IBM Quantum System One will significantly enhance educational and research opportunities for the university, as well as with other academic institutions and organizations across the New York region that wish to partner with RPI.

Today, Rensselaer Polytechnic Institute (RPI) and the University at Albany announced a new collaboration to push the boundaries of computer technology and its applications, leveraging their respective strengths and formidable assets for the benefit of the Capital Region, New York, and the nation.

Customer’s online reviews of products and services are highly influential and have an immediate impact on brand value and customer buying behaviors. According to the Pew Research Center, “82% of U.S. adults say they at least sometimes read online customer ratings or reviews before purchasing items for the first time, including 40% who say they always or almost always do so.” How and whether to respond to online reviews is a critical consideration that may very well make or break a company’s success.

When a star goes supernova, a massive burst of neutrinos is the first signal that can escape the density of the collapsing star. Detecting and analyzing this phenomenon in real time would allow us insight into stellar dynamics and, potentially, black hole formation. Detection of these types of signals from modern physics detectors is notoriously hard and presents computational challenges that push the bounds of modern and next-generation computing. Transmitting and analyzing the data from the massive particle physics detectors to the next generation of extreme-scale computing will require detailed modeling of the networking, hardware, and leadership class computing systems. These models will allow researchers to find and optimize the computing pathways, configurations, and infrastructure topologies so that they can handle these massive data loads.

Researchers from Rensselaer Polytechnic Institute (RPI) will use hemp to develop a commercially viable, durable, and low-embodied-carbon insulated siding product to address what the U.S. Green Building Council says is a “crucial need for building retrofits to improve energy efficiency and reduce carbon emissions.”