Mathematician Brothers Who Helped Image The Hunt of the Unicorn to Visit RIT, April 9
The event is free and open to the public
Two of the world’s most interesting mathematicians will visit Rochester Institute of Technology this month to talk about mathematics and imaging.
Brothers David and Gregory Chudnovsky, directors of the Institute for Mathematics and Advanced Supercomputing at Polytechnic University, will present “The Unicorn Tapestries and Mathematical Approaches to Imaging,” at 4 p.m., Wednesday, April 9, in the Chester F. Carlson Center for Imaging Science auditorium. The talk is part of the Center for Imaging Science Seminar Series.
The Chudnovskys, well known in the math world for holding records in computing π to the largest number of digits, will share their experience helping the Metropolitan Museum of Art mathematically stitch together digital photographs taken of the famous medieval tapestries The Hunt of the Unicorn. The mathematical conundrum was the subject of a New Yorker article and was also featured on Public Broadcasting Service’s science show NOVA.
March 19, 2019
RIT’s 14th annual Creative Industry Day set for March 21 at Gordon Field House
Rochester Institute of Technology’s 14th annual Creative Industry Day provides companies like Adobe, Blue Sky Studios and Google the opportunity to meet with RIT’s creative talent in a career-fair setting.
March 18, 2019
RIT Students Get Real-World Experience with Adobe Creative Cloud
Adobe highlights two RIT projects: the game Fragile Equilibrium and an augmented reality app called “Wave.”
March 17, 2019
RIT heads to Game Developers Conference 2019
More than 100 RIT students, faculty, alumni and staff are visiting San Francisco this week to attend Game Developers Conference 2019, the world’s largest professional gaming industry event of the year. The RIT MAGIC Spell Studios booth is displaying four games created at RIT.
March 15, 2019
Data science community to gather at RIT for regional DataFest hackathon March 29-31
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.