Neil Gershenfeld
Massachusetts Institute of Technology
184 Papers
3K Citations
Neil Gershenfeld is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Computer science & Signal. The author has an hindex of 45, co-authored 164 publications.
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Papers
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FAB: The Coming Revolution on Your Desktop--from Personal Computers to Personal Fabrication
Neil Gershenfeld
- 12 Apr 2005
TL;DR: The next big thing in personal fabrication is personal fabrication as mentioned in this paper, the ability to design and produce your own products, in your own home, with a machine that combines consumer electronics and industrial tools.
977
Parasitic power harvesting in shoes
J. Kymissis,C. Kendall,Joseph A. Paradiso,Neil Gershenfeld +3 more
- 19 Oct 1998
TL;DR: This paper examines three different devices that can be built into a shoe and used for generating electrical power "parasitically" while walking, two of which are piezoelectric in nature and one is a shoe-mounted rotary magnetic generator.
Experimental Implementation of Fast Quantum Searching
TL;DR: This provides the first complete experimental demonstration of loading an initial state into a quantum computer, performing a computation requiring fewer steps than on a classical computer, and then reading out the final state.
E-broidery: design and fabrication of textile-based computing
TL;DR: The development of e-broidery (electronic embroidery, i.e., the patterning of conductive textiles by numerically controlled sewing or weaving processes) as a means of creating computationally active textiles is described and compared to existing flexible circuit substrates with regard to durability, conformability, and wearability.
764
Microfluidic Bubble Logic
Manu Prakash,Neil Gershenfeld +1 more
TL;DR: B bubble logic AND/OR/NOT gates, a toggle flip-flop, a ripple counter, timing restoration, a ring oscillator, and an electro–bubble modulator are demonstrated to show the nonlinearity, gain, bistability, synchronization, cascadability, feedback, and programmability required for scalable universal computation.