Congratulations to Devi Parikh who has been named a 2014 Allen Distinguished Investigator! Devi’s work will impart common sense reasoning to computers to accomplish human-like visual recognition. She is in great company! Read More
Congratulations to Devi Parikh who has been named a 2014 Allen Distinguished Investigator! Devi’s work will impart common sense reasoning to computers to accomplish human-like visual recognition. She is in great company! Read More
Parang Saraf, a DAC/CS Ph.D. student in the National Capital Region, recently accepted the VAST Challenge 2014 Grand Challenge Award for Effective Analysis and Presentation in Paris, France. The VAST Challenge provides an opportunity for visual analytics researchers to test their innovative thoughts on approaching problems in a wide range of subject domains against realistic datasets and […]
The EMBERS project, sponsored by IARPA was featured in a major spread of the Virginia Tech Magazine. Through the use of big data, Naren Ramakrishnan and his team from the computer science department’s Discovery Analytics Center (DAC) may make forecasting the future as commonplace as forecasting the weather. The term “big data” refers to the […]
Prithwish Chakraborty, DAC/CS PhD student is helping organize the Flu Forecasting questions on the SciCast prediction market (https://scicast.org/flu) this year. Participants are required to predict several flu season characteristics, at national and at regional levels (10 HHS regions). Read his analysis
Naren Ramakrishnan, director of the Discovery Analytics Center and Bryan Lewis, public health policy analyst, Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, presented research being done in their respective laboratories in a briefing to Virginia Secretary of Technology Karen Jackson. Senator Mark Warner’s staff were also in attendance. It was a great opportunity […]
Big Data: Everyone wants to use it; but few can. A team of researchers at Virginia Tech is trying to change that. In an effort to make Big Data analytics usable and accessible to nonspecialist, professional, and student users, the team is fusing human-computer interaction research with complex statistical methods to create something that is […]
An enormous gap exists between human abilities and machine performance when it comes to understanding the visual world from images and videos. Humans are still way out in front. “People are the best vision systems we have,” said Devi Parikh assistant professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. “If […]
Analysts for the Central Intelligence Agency, the National Security Agency and more than a dozen other government organizations depend on their ability to forecast national and global events to help ward off various threats to the country, but old-style approaches can produce flawed results. Read more
When Dhruv Batra of the Virginia Tech College of Engineering travels in September to Zurich for the 2014 European Conference on Computer Vision, he will be a rising star in the growing field of vision and pattern recognition in computers. The assistant professor with Virginia Tech’s Bradley Department of Electrical and Computer Engineering previously co-led a […]
Lenwood Heath, DAC faculty member, is working with Boris Vinatzer, associate professor in the College of Agricultural and Life Sciences who has developed a new way to classify and name organisms based on their genome sequence and in doing so created a universal language that scientists can use to communicate with unprecedented specificity about all life on Earth. […]