Smart Matter: Frontiers of Computation John R. Gilbert Palo Alto Research Center and MIT Laboratory for Computer Science "Smart Matter" is a research theme at PARC, in which we aim to exploit trends of miniaturization and integration of both computer hardware and micromechanical devices to build new kinds of machines and systems. The idea is to trade computation (which is getting cheaper very fast) for physical or mechanical complexity. The resulting systems typically integrate sensing, computation, and (sometimes) actuation in a fine-grained way. Some of the projects we are working on in this space are MEMS and microlasers; an "active surface" air-jet paper mover; distributed collaborative sensing; and a modular robot. I'll talk about a few of these, with a particular focus on the challenges that this research poses for computer science. =================================================== Short biography: John R. Gilbert is a Principal Scientist in the Systems and Practices Laboratory at the Palo Alto Research Center (formerly Xerox PARC). He founded PARC's Computation and Matter Area in 1997, with a charter to connect computer science and information technology with smart matter and systemic MEMS. He directed CMA's research from 1997 until 2002, including projects in distributed data analysis and collaborating sensors, meso-scale MEMS for active surfaces, and modular robotics. Dr. Gilbert received his PhD in Computer Science at Stanford in 1981. From 1981 to 1988 he was Assistant and Associate Professor of Computer Science at Cornell, where he was an NSF Presidential Young Investigator. In 1988 he joined Xerox PARC, where he has performed and directed research in parallel computing, computational geometry, languages and compilers for high-performance computing, and mathematical algorithms and software. Dr. Gilbert is a member of the Council of the Society for Industrial and Applied Mathematics, and a past chair of the ACM Special Interest Group on Numerical Mathematics. Dr. Gilbert developed the sparse matrix solvers used in the commercial Matlab engineering environment; he is also the author of about 50 technical papers and a number of patents. =========================================