Georgia Tech Interdisciplinary Research Centers (IRCs)
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Recent Submissions
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An AI Framework Used in Crisis Management and Decision Making
(2019-04-23)Model-Driven Engineering (MDE) is meant, above other usages mainly in software design, to support the process of system design, especially the transitions and the coherency between models of different levels and different ... -
Perception at Magic Leap
(2019-04-19)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 pose tracking, world ... -
From Smart Machines to Smart Supply Chains: Some Missing Pieces
(2019-04-10)Modern warehouses, factories and supply chains are becoming enormously complex systems. Historically, the design and control of these systems has depended upon evolution and refinement over time to achieve high levels of ... -
AI Driven Design Approach
(2019-04-03)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. For complex systems, ... -
Blended Learning in Practice: A Guide for Practitioners and Researchers
(2019-04-11)A Guide for Practitioners and Researchers (MIT Press) A guide to both theory and practice of blended learning offering rigorous research, case studies, and methods for the assessment of educational effectiveness. Blended ... -
Launched by Disruption
(2019-03-13)E-commerce, globalization and urbanization, combined with new technologies and business models, are disrupting industry stalwarts. Today, no company is immune from disruption. How should companies respond? Can disruption ... -
Situated Natural Language Understanding
(2019-03-08) -
How Educational Design Research Can Help Win the Race Between Human Learning and Machine Learning
(2019-03-07)Over the past 25 years, major advances have been made in the development of machine learning, also referred to as "deep learning," a branch of artificial intelligence (AI) whereby computers are programmed to analyze large ... -
Contextual AI - The Next Frontier Towards Human-Centric Artificial Intelligence
(2019-02-28)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 and approach to AI. The ... -
Using IMS Standards to Advance Next-Generation Digital Learning Environments (NGDLE)
(2019-02-26)The NGDLE is a vision for a learning ecosystem not a detailed technical specification. As such, the NGDLE will evolve over time as technology matures and the research in teaching & learning identifies effective practices. ... -
Georgia's Ports - What's Next?
(2019-02-13)We will discuss a general global perspective, and then a North America focus on current and future supply chain challenges relative to infrastructure constraints. An overview of omni-channel dynamics in serving related ... -
Extended Reality (XR) for Teaching and Learning
(2019-02-07)Extended reality (XR) refers to real-and-virtual combined environment, including virtual reality (VR), augmented reality (AR), and mixed reality (MR). This talk explores the potential uses for extended reality in teaching ... -
Rethinking the Warehouse: Urban Space and Economy in an Age of Smart Logistics
(2019-01-16)Urban logistics automation is collapsing traditional boundaries between storage and delivery, extending the warehouse presence in the built environment. At the same time, the growth of e-commerce combined with logistics' ... -
Hybrid Machine Learning for Complex Systems: Algorithm and Architecture to Couple Model-Based and Data-Driven Learning
(Georgia Institute of Technology, 2018-11-02)An all-day summit featuring plenary talks on the future of computing and panel discussions. -
Automated Perception in the Real World: The Problem of Scarce Data
(2018-11-30)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 machine learning, ... -
Reconfigurable and Programmable Physical Computing for a Digital Computing World
(Georgia Institute of Technology, 2018-11-02)An all-day summit featuring plenary talks on the future of computing and panel discussions. -
Migratory Memory-Side Processing Breakthrough Architecture for Graph Analytics
(Georgia Institute of Technology, 2018-11-02)Today's data intensive applications, such as sparse-matrix linear algebra and graph analytics, do not exhibit the same locality traits as compute-intensive applications, resulting in the latency of individual memory accesses ... -
Emergent Computation in Active Matter
(Georgia Institute of Technology, 2018-11-02)Swarm robotics and programmable active matter both explore how individual agents can come together to perform useful tasks collectively. How effectively they can do this depends on the individuals' computational capabilities, ... -
An Overview of AI Initiative and Research at ORNL
(Georgia Institute of Technology, 2018-11-02)An all-day summit featuring plenary talks on the future of computing and panel discussions. -
Architecture and Compiler Support for Near-Term Quantum Computers
(Georgia Institute of Technology, 2018-11-02)An all-day summit featuring plenary talks on the future of computing and panel discussions.
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