Hillary Mushkin, Visiting Professor of Art and 
Design in Mechanical and Civil Engineering, worked with a group of students taking her new media art history seminar (E/H/Art 89 - the first Caltech course cross-listed in engineering and humanities) to conceptualize, design and fabricate their own original new media artwork using technologies and fabrication methods of their own choice. Students created electroencephalogram (EEG) art, automatic drawing machines, conceptual art-inspired visualizations of mathematical concepts, interactive video projections, electronic instruments and other novel forms. [Photos of the exhibit] 03.21.13
Peter Schröder, Professor of Computer Science 
and Applied and Computational Mathematics, is the new Deputy Chair of the Division of Engineering and Applied Science. "I look forward to working with Peter over the next several years as we continue with our quest to remain a unique collaborative community of isolated singularities that sets a compelling model as a research and teaching institution," says Chair Ares Rosakis. 02.13.13
For the third year the Times Higher Education world university rankings has ranked Caltech as number one in engineering and technology. [View Rankings] [Caltech Feature] 10.04.12
Erik Winfree, Professor of Computer Science, Computation and Neural Systems, and Bioengineering, and colleagues including Caltech alumnae Rebecca Schulman, have created a new system to copy sequence information. In their approach, tiny DNA tile crystals consisting of many copies of a piece of information are first grown, then broken into a few pieces by mechanically-induced scission, or force. The new crystal bits contain all the information needed to keep copying the sequence. Each piece then begins to replicate its information and grow until broken apart again—without the help of enzymes, an essential ingredient in biological sequence replication. [Caltech Press Release] 05.25.12
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How does the brain compute? Can we endow machines with brain-like computational capability? Faculty and students in the CNS program ask these questions with the goal of understanding the brain and designing systems that show the same degree of autonomy and adaptability as biological systems. Disciplines such as neurobiology, electrical engineering, computer science, physics, statistical machine learning, control and dynamical systems analysis, and psychophysics contribute to this understanding. The unifying theme is the relationship between the physical structure of a computational system (molecular, neuronal, or electronic hardware), the dynamics of its operation, and the computational problems that it can efficiently solve.
Faculty Positions Available Positions are available through Engineering & Applied Science, Biology, and Information Science & Technology. For details, see our Positions page.
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A complete list of speakers including additional information such as talk titles and abstracts can be found on the CNS Wiki Page.
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A good choice involves rapidly combining both value and visual information. Here, the fly chooses the food reward offered by the salient flower, but pays a devastating price falling prey to the camouflaged crab spider |