Search for tag: "popcorn machine"

The talk presents the current state-of-the-art of the Shape Machine, a new computational, visual and disruptive technology, to leading experts in various fields including AI, engineering, computer…

This talk presents the importance of Computer Vision and Deep learning techniques in making Magic Leap an effective spatial computing platform. The four fundamental modalities are introduced: head…

This symposium presents the current state-of-the-art of the Shape Machine, a new computational, visual and disruptive technology, to leading experts in various fields including AI, engineering,…

3:30 5:00 PM - Panel and Final DiscussionGeorge Stiny, PhD, MIT Terry Knight, PhD, MIT Chris Earl, PhD, Open University Alison McKay, PhD, University of Leeds Ulrich Flemming, PhD, CMU Dennis…

11:30 - 11:45 AM - Shape Machine and Architecture Theory Heather Ligler, AIA, MSArch PhD Candidate and Research Assistant Shape Computation Lab Georgia Institute of Technology

11:15 - 11:30 AM - Shape Machine and Parametrics James Park, BSArch, MArch PhD Student and Research Assistant Shape Computation Lab Georgia Institute of Technology

11:00- 11:15AM - Shape Machine and Interpreters Tzu-Chieh Kurt Hong, BE, ME PhD Student and Research Assistant Shape Computation Lab Georgia Institute of Technology

10:45 - 11:00 AM - Shape Machine and Shape Signature Cvetelina Hill, MS Math PhD Student School of Mathematics Georgia Institute of Technology

Design Space Exploration (DSE) is an activity that is performed to systematically analyze several design points and then select the design(s) based on parameters of interest and design requirements.…

This talk motivates a more human-centric wave of AI, dubbed Contextual AI. Contextual AI does not refer to a specific algorithm or machine learning method - instead, it takes a human-centric view…

Machine perception is a key step toward artificial intelligence in domains such as self-driving cars, industrial automation, and robotics. Much progress has been made in the past decade, driven by…

In this talk, I will discuss my group's recent work on state-of-the-art natural language generation (NLG) and dialogue models that are multimodal, personality-based, and knowledge-rich. First,…

Given the dramatic successes in machine learning and reinforcement learning over the past half decade, there has been a surge of interest in applying these techniques to continuous control problems…

The retail industry is the midst of rapid change due to intensifying competition from fragmented and non-traditional sources, expansion of assortment breadth and product availability, and more…

Traditional sensor data can be augmented with new data sources such as roadmaps and geographical information system (GIS) Lidar/video to offer emerging unmanned aircraft systems (UAS) and urban air…

A lot of the recent progress on many AI tasks enabled in part by the availability of large quantities of labeled data. Yet, humans are able to learn concepts from as little as a handful of examples.…