Math & Computer Science - גלריה

Find out with Prof. Michal Irani of the Weizmann Institute.

A group of scientists headed by Prof. Ehud Shapiro at the Weizmann Institute of Science has used biological molecules to create a tiny computer - a programmable two-state, two-symbol finite automaton - in a test tube. This biological nanocomputer is so small that a trillion (1,000,000,000,000) such computers co-exist and compute in parallel, in a drop the size of 1/10 of a milliliter of watery solution held at room temperature. Collectively, the computers perform a billion operations per second with greater than 99.8% accuracy per operation while requiring less than a billionth of a Watt of power. This study may lead to future computers that can operate within the human body, interacting with its biochemical environment to yield far-reaching biological and pharmaceutical applications.

YEDA Research and Development Company LTD., the commercial arm of the Weizmann Institute of Science, today announced it has entered into a license agreement with Adobe Systems Incorporated related to a bidirectional similarity measure to summarize visual data. The bidirectional similarity method developed by Prof. Michal Irani and Drs. Denis Simakov, Yaron Caspi and Eli Shechtman of the Institute's Computer Science and Applied Mathematics Department is a technique for summarizing visual data -- both still images and video. Rather than cropping or scaling down an image to obtain a smaller thumbnail, or clipping a video segment, the method produces a complete and coherent visual summary: a smaller or shorter version of the original that retains the most relevant information More details: http://wis-wander.weizmann.ac.il/yeda-collaborates-with-adobe-for-new-data-visualization-technique

YEDA Research and Development Company LTD., the commercial arm of the Weizmann Institute of Science, today announced it has entered into a license agreement with Adobe Systems Incorporated related to a bidirectional similarity measure to summarize visual data. The bidirectional similarity method developed by Prof. Michal Irani and Drs. Denis Simakov, Yaron Caspi and Eli Shechtman of the Institute's Computer Science and Applied Mathematics Department is a technique for summarizing visual data -- both still images and video. Rather than cropping or scaling down an image to obtain a smaller thumbnail, or clipping a video segment, the method produces a complete and coherent visual summary: a smaller or shorter version of the original that retains the most relevant information More details: http://wis-wander.weizmann.ac.il/weizmann-invention-visual-summarization#.UcF8WflHLXI

The history of the first electronic computer in Israel, and one of the first in the world, and the ceremony recognizing WEIZAC as a key historical milestone in the history of computing by IEEE. (English from 1:19)