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Managing Nano-Bio-Info-Cogno Innovations - World Technology ...

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Converging Technologies for Human Progress 355<br />

5. “Fabrication of Reversible Microarray Sensors using<br />

Thermally Responsive <strong>Bio</strong>polymers” (0330451, Wilfred Chen,<br />

University of California at Riverside). The aim is “to develop a<br />

potentially reliable and economical technique for the fabrication of<br />

reversible microarray sensors” that could analyze enzymes,<br />

antibodies, proteins, or genetic material.<br />

6. “The Computer Science of <strong>Bio</strong>logically Embedded Systems”<br />

(0113679, Michael Black, Brown University). Using “mathematical<br />

and computational techniques from computer vision, image<br />

processing, and machine learning,” this project develops methods for<br />

designing sensors embedded in the brain to detect meaningful signals<br />

from neurons, with the ultimate goals of helping severely disabled<br />

people and understanding better how the neurons of the human brain<br />

encode information.<br />

7. “Algorithms for Machine Perception based on Visual Cortex<br />

Models” (0082119, Irina Gorodnitsky, University of California – San<br />

Diego). Research, which employs scalp electrodes to monitor the<br />

behavior of the visual cortex of the human brain, seeks to provide an<br />

improved foundation for neuromorphic design of machine vision.<br />

8. “Technologies for Sensor-based Wireless Networks of Toys<br />

for Smart Developmental Problem-solving Environments” (0085773,<br />

Mani Srivastava, University of California at Los Angeles). The<br />

rapidly advancing miniaturization of computing technologies now<br />

permits many ordinary household artifacts to become networked,<br />

including children’s toys designed to enhance the cognitive<br />

“developmental process by providing a problem-solving<br />

environment that is individualized, context adaptive, and coordinated<br />

among multiple children.”<br />

<strong>Nano</strong>scale <strong>Bio</strong>informatics<br />

Determining the structure and behavior of nanoscale biological molecules,<br />

such as proteins, presents very difficult challenges for computer and<br />

information science. Successful approaches rely upon computation-intensive<br />

simulations, data analysis and manipulation techniques, and methods for<br />

visualizing dynamic structure. <strong>Bio</strong>informatics is a broad field, including the<br />

comparison of species and study of large-scale organic and environmental<br />

systems, but many of its greatest challenges exist at the nanoscale.<br />

1. “Subnanometer Structure Based Fold Determination of<br />

<strong>Bio</strong>logical Complexes” (0325004, Wah Chiu, Baylor College of<br />

Medicine; 0324645, Andrej Sali, University of California at San<br />

Francisco; 0325550, Chandrajit Bajaj, University of Texas at<br />

Austin). This multi-institution team is developing visualization and

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