Watch for updates.

To complement our Annual SCS Mobot Races in Spring 2018, we also host the annual Fall Demos/Races: ToboM.

With MoBot (now in its 24th year),  members of the CMU community harness their singular and collective talents to create Mobots that race along and "down" the slalom-course on the paved walkway in front of Wean Hall. (i.e., the curvy white lines).

ToboM asks community members to race their bots up The Helix in GHC. The problem is challenging,  the solutions many,  the weather more predictable, but we get to introduce whole new levels of complexity.  Going up or down, issues of autonomous movement are always exciting.

The Helix starts on the 3rd floor of GHC and winds its way up to the 5th floor.  It's a long and circuitous hike for humans --- and perhaps an even greater challenge for a robot?  And as it's also Family Weekend, we hope to let our guests see what we do and build!

If you have a robot you would like to build,  try out,  or simply test  to see if it will make its way up The Helix....please join in!  We would like to see what Robots  can do when faced with a winding, uphill bit of architecture.  Rolling, hovering, flying, slithering,  or crawling --- all is acceptable.  And you'll be showing our community/guests what is possible -- while better defining the essence and scope of ToBoM Racing.

Analytical data science happens at the intersection of domain problems, data, and statistical models. It requires a combination of practical problem-solving skills and the ability to conduct rigorous hypothesis-driven experiments in order to fully utilize its potential. Working on real-world problems often entails additional obstacles such as sparse or noisy data, steep domain learning curves, or less well-defined tasks. This talk has three objectives. First, I illustrate how I have tackled these challenges in my research on artificial intelligence and law, specifically in computational models of legal argument and legal information retrieval. Second, I show how teaching data science at the Master’s level benefits from having students engage with hard research problems and domain experts. Third, I explain how applied research and data science education can synergize in the context of my work in the LTI’s Master of Computational Data Science (MCDS) program. On this basis, I outline a vision and plan for future developments of this degree program.

Matthias Grabmair has been a postdoctoral associate at CMU LTI working with Prof. Eric Nyberg since the Fall of 2015. His research focuses on various aspects of Artificial Intelligence & Law, question answering, and dialogue systems. He co-teaches seminar courses and mentors Capstone projects for the Analytics major of LTI’s MCDS program. Matthias obtained a diploma in law from the University of Augsburg, Germany, as well as a Master of Laws (LLM) and PhD in Intelligent Systems from the University of Pittsburgh.

Systems Scientist

This day-long workshop will offer a unique opportunity for faculty, post-docs, Ph.D. students and staff on GCP's popular services that are relevant to all of us.

RSVP to confirm your attendance.

8:30 amLight breakfast and coffee/tea

8:45 - 9:00 amGCP/CMU Partnership Announcement and Introductions

9:00-10:00 amGoogle Compute Engine: Building high-performance, scalable VM environments

10:00-11:00 amKubernetes
11:00 -12:00 pm: Google Cloud Dataproc: Distributed Computing made Easy 

12:00 -12:30 pmLunch

12:30 - 1:00 pmCreating best in class storage solutions with Google Cloud Storage

1:00 - 2:00 pmGoogle BigQuery: Analyzing Big Data in Less Time

2:00-3:00 pmGoogle Cloud Datalab: Analyzing and Visualising Data

3:00-4:00 pmTensorFlow & Machine Learning APIs

Sessions include content overview, hands-on lab (Qwiklabs) and Q&A. Please bring your laptops with a web browser installed. We will provide Qwiklab accounts and vouchers which will also provide easy access to code. However, you can still use your own GCP account to go through the labs.

With Distinguished Speaker: 

Anoop Gupta
Co-founder and Chief Executive Officer

Registration Required. Sign up with your graduate coordinator!


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