Intelligent Systems Lab technology
-
SPHINCS: System of Printed Hybrid Intelligent Nano-Chemical Sensors
We are developing a new paradigm for gas sensing that will achieve state-of-the-art methane detection and measurement performance at an ultra-low cost.
-
Shaping the Future of Smart Manufacturing with IIoT System Analytics
GE Grid Solutions and Con Edison partnered with us to deploy MOXI™ IIoT System Analytics for power grid maintenance. Remote monitoring, smart grids.
-
Enabling Smarter Skincare with Machine Learning
We partnered with Olay, the Procter & Gamble (P&G) skin care leader to develop deep learning skin analysis for smarter, more personalized skin care.
-
Sparking Digital Transformation in the Metalworking Industry
A global leader in tools for the metalworking industry reached out to collaborate on an end-to-end software solution addressing the unique needs of their customers.
-
Digitally Manufacturable Design Optimization
A transformative approach to computer aided design, manufacturing, and engineering where the computer serves as a collaborating partner.
-
Conversational Agents
Natural language processing and machine learning to build dialog systems and conversational technologies like call center agents and conversational copiers.
-
Geometric and Spatial Reasoning
Building next-generation CAD tools that allow detailed representation of complex structures like lattice or bones to meet modern manufacturing demands.
-
Polymer Aerogel CO2 Capture Adsorbents
We are developing tunable aerogel adsorbents that can capture CO2 with low adsorbent cost, minimal cycling energy, and long adsorbent lifetimes.
-
Human-Machine collaboration
Partnering with machines is integral to the future. Human-Machine collaboration and Explainable AI (XAI) Systems are research areas for us.
-
Data Science and Analysis
Our data scientists apply statistical analysis and machine learning to reveal insights, make predictions, and provide decision support.
-
Interactive Machine Learning
Our systems enrich human-machine collaboration to make learning more efficient. Applications: transportation, IoT, healthcare, AR, cybersecurity.
-
Computer vision and image synthesis
Our research on computer vision, deep visual neural networks, enhancing what a machine can see, and human machine collaboration for complex visual tasks.