Students and faculty at Carnegie Mellon University's School of Computer Science are collaborating with the digital media intelligence firm Meltwater to advance the state of the art in artificial intelligence education and research using the company's AI platform.
Meltwater, which has the world's most diverse collection of open and licensed data, has opened its underlying AI platform, Fairhair.ai, to Carnegie Mellon and other select universities. The Fairhair.ai platform allows students and faculty to create, connect... Read More
An MCDS Capstone Project turned into a pair of publications for a recent graduate of the program. Abdelwahab Bourai, who graduated from the program in 2017 and is now employed by Uber’s Pittsburgh-based Advanced Technologies Group, recently had papers accepted at both the International Conference on Multimodal Interaction (ICMI 2017) and the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018).... Read More
Students in the MCDS Systems major took to the Cut in December to honor Prof. Garth Gibson. Several students participated in the University's "Fence painting" tradition to thank Gibson for his 26 years of service at CMU. "Thank You Prof. Garth Gibson - Best Wishes - MCS Systems 2016-2017" read the Fence, also noting the length of time he spent at CMU before departing to become the CEO of the new Toronto-based Vector Institute for Artificial Intelligence, a venture jointly funded by industry and the government of the Candian province of Ontario. The MCDS program also hosted a reception for... Read More
A paper by MCDS grad Siddha Ganju was recently accepted for publication by the Conference on Computer Vision and Pattern Recognition (CVPR 2017), one of the most prestigious annual conferences in the field of computer vision.
The paper, titled “What’s in a Question: Using Visual Questions as a Form of Supervision,” falls in the category of Visual Question Answering (VQA), a subdomain of Natural Language Processing and Computer Vision that involves developing specialized Question Answering systems to extract information from... Read More
Early career engineers and computer scientists interested in the growing field of technical product management received good news recently, when Carnegie Mellon University announced its new Master of Science in Product Management program. The degree, offered jointly by the university's School of Computer Science and Tepper School of Business, aims to turn computer scientists and engineers into product managers — the specialists in technical organizations who ensure that the company delivers the right product to the right people at the right time in the right format. The 12-month master's... Read More
Wondering if MCDS is right for you? Not sure if our curriculum fits your needs? Check out our intro video, starring our director, Prof. Eric Nyberg.Read More
When Facebook launched its Live video service last year, the social media giant's 1.5 billion global users began living their lives as if they had TV cameras in their back pockets. A team of Carnegie Mellon University students and alumni recently harnessed the power of the Live system to take first place in the 2016 Facebook Global Hackathon.
Over the course of 24 hours in November, Abdelwahab Bourai, who earned his bachelor's degree in computer science this past May and... Read More
A team of students from the Language Technologies Institute recently earned top honors for their performance in the BioASQ 2016 Biomedical Semantic Question Answering challenge.
Held annually, BioASQ pushes for a solution to the information access problem biomedical experts face by posing challenges on both biomedical semantic indexing and question answering. The CMU team, comprising Zi Yang, a student in the LTI's Ph.D. program; Yue Zhou, a student in the... Read More
Join us as our past and current students come together to share experiences and ideas. Alumni will return to campus and present a talk on their life and work after our program. Current students will present posters on their summer internship experience.
Sunday, September 18th, 5-9pm
Poster Session: NSH Atrium
Alumni Presentations: Wean Hall 7500Read More
Most social media users know the story: You're reading your newsfeed and open a new tab on your browser to do some shopping. The next time you log in to whatever social media platform you'd used, the advertisements miraculously relate directly to what you'd been shopping for. Coincidence? No way. Machine learning techniques are working way below the surface to determine what you're looking at and what deals apply to you.
Imagine if you could harness that technology so you'd receive a message when you were near a store offering just what you were looking for — from the perfect... Read More