News
Ernest Fokoue

Africa is rich in natural resources and contains one of the most diverse ecosystems across the globe. The Sahara Desert itself is larger than the continental United States. With all the unique landscapes, wildlife, and growing urban areas, more than 30 RIT faculty have recognized the importance of traveling to the continent, all backed by RIT Global.

The Rochester Beacon talks to Ernest Fokoué, professor in the School of Mathematics and Statistics, about data analytics.

WHEC-TV talks to John McCluskey, professor in the Department of Criminal Justice, about a grant received by Ernest Fokoue, professor in the School of Mathematical Sciences, to study how to analyze body-worn camera footage. McCluskey is also part of the research project.

Professor Ernest Fokoue from RIT’s School of Mathematical Sciences is teaming up with the Rochester Police Department (RPD) to use statistical machine learning to analyze body-worn camera footage and help improve police training.

Applications being developed at RIT using artificial intelligence vary from sophisticated medical monitoring devices to the development of autonomous systems for Indy racecars. These represent some of the exciting and complex work underway at the university that will be featured prominently at the AI@RIT Summit: Discovering and Harnessing the Breadth and Depth of Artificial Intelligence at RIT.

RIT scientists have uncovered new information about the way coronavirus and several of its variants attach to human cells. The researchers examined how coronaviruses use their spike proteins to attach themselves to the host cells they are attacking.

WHAM-TV talks to Ernest Fokoue, professor in the School of Mathematical Sciences, about sorting out COVID-19 data.

Statistical machine learning is at the core of modern-day advances in artificial intelligence, but RIT professor Ernest Fokoué argues that applying it correctly requires equal parts science and art. Fokoué emphasized the human element of statistical machine learning in his primer on the field that graced the cover of a recent edition of Notices of the American Mathematical Society.

Teams of three to five students will have 48 hours to mine a complex data set pertaining to a real-world problem. Teams will test their statistical analytic and data science skills to find the best solution.