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.
A new model, based on control theory, uses publicly available data to predict the minimal non-pharmaceutical intervention needed to control COVID-19 based on the vaccination rate in 381 metropolitan statistical areas — cities and their surrounding communities — across the country.
George Slota has been has been granted a prestigious National Science Foundation Faculty Early Career Development (CAREER) award to develop approaches that match exascale supercomputers with petascale data.
Deborah McGuinness and Jamie McCusker were awarded the Semantic Web Science Association (SWSA) Ten-Year Award for a research paper which shed light upon how the use of the semantic concept owl:sameAs was being used and misused for linking data sets on the Web of data.
In the midst of the COVID-19 pandemic, as Rensselaer leaders prepared to bring students back to campus for the fall 2020 semester, they relied on a powerful algorithm to determine a testing schedule that, along with other tools, has helped maintain a safe environment on campus. That algorithm is now publicly available as a free online app.
Francine Berman, the Rensselaer Polytechnic Institute Hamilton Distinguished Professor of Computer Science, has been selected by the National Academy of Public Administration for inclusion in its 2020 Class of Academy Fellows, in recognition of her years of public-focused service and expertise.
As the volume of available information expands, the fraction a person is able to absorb shrinks. To break this cycle, computer scientists say we need new algorithms that prioritize a broader view over fulfilling consumer biases.
In the spring 2020 semester, more than 2,000 students and 242 professors, teaching assistants and mentors relied on Submitty, the open-source tool designed and built by students, faculty, and teaching assistants at Rensselaer Polytechnic Institute.
From a variety of locations in the Capital Region, and throughout the country, Rensselaer Polytechnic Institute faculty, students, and staff are pressing their knowledge and machinery to work making personal protective equipment for those on the front lines of the pandemic.
Rensselaer Polytechnic Institute researcher Malik Magdon-Ismail tailored the robust machine learning models he is developing for the COVID pandemic to work with sparse data points, like those available during the early phase in a pandemic or in smaller cities, which ordinarily make trend-spotting difficult.