Information Technology Industry Report Brown University ADSP Lab 余 渊 善

Content  About the previous report  Brain-Computer Interface Technology (BCI) Related industries What companies or products will Benefit from BCI Business model

About Brown University  Founded in 1764  Private university  One of the Ivy League  Ranks 15th in US (2012)  Alumni

Computer Science Dept. (CS)  Founded in 1979  Undergraduate and graduate levels  One of the best faculties  Ranks 20th in CS (2012)

Research areas  Graphics  Linguistic Information Processing (BLLIP)  Data Management  Brain Science  Artificial Intelligence  Programming Languages  Visualization Research Lab  Theory and Algorithm  Visualization Research Lab  Center for Vision Research  Center for Computational Molecular Biology  Software Engineering… For more information, please visit

The top 3 areas (just my view)  Graphics

The top 3 areas  Linguistic Information Processing (BLLIP)  Brain Science

Three researchers  Robert C. Zeleznik Computer Graphics Group MathPaper project  Enrich handwritten mathematics  writer-independent math recognition  Real-time recognition  Students, teachers and professionals

Three researchers  Andy van Dam Computer Graphics Hypermedia systems Educational software One of the Computer Science Dept.'s co-founders and its first chairman He has been working for over four decades on systems for creating and reading electronic books with interactive illustrations for use in teaching and research More information about Van Dam:

Three researchers  James Hays Computer graphics, Computer vision, and Computational photography Focus on using “Internet-scale” data and crowd-sourcing to improve scene understanding and allow smarter image synthesis and manipulation An empirical study of context in object detection Scene completion using millions of photographs Estimating geographic information from a single image

Paper “SUN Attribute Database: Discovering, Annotating, and Recognizing Scene Attributes” ——James Hays  Classifier  Scene understanding and recognition

Paper  Highlight Image classification based on scene attributes Average precision reaches about 95%  Difficulty Attribute extraction significantly How to obtain high precision in large-scale sense condition  Value Building a “SUN Attribute Database” Scene understanding Scene recognition

Brain-Computer Interface

 Combine Computer Science with Biological Science  Mind control machine BCI is a method of communication based on neural activity generated by the brain

Brain-Computer Interface  Paralyzed in arms  15 years  Drink water  First human control machine in the world  Brown’s BCI

Related industries  Health care industry Hospital Medical equipment company  Precision instrument Artificial limb Robot Material industry  Information Technology Hardware Software …

Benefit to…  Large-scale hospital Peking University Shenzhen Hospital  Robot companies The iRobot (US) Shenzhen Dateer Robot Corporation  Apple Inc. No keyboard, no mouse Not only speech, but also mind control  Intel (chip development)  Microsoft (software)  Google What is the customer want most ?

What should I do ?  Experimental research stage  Orientation Application software development For the disabled in hospital Family service robots

Future Research and Imagination  Electrode, even wireless connection Instead of implanting with a chip  The whole cerebral cortex  Computer and the Brain communicate with each other