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MIT Videos

Video2Interesting Videos from Massachusetts Institute of technology's website - MIT World


Massachusetts Institute of Technology is the de-facto primary technological university in the world. MIT professors, faculty members and speakers include some of the widely acknowledged scientists and authors globally.

This list of Videos features some very interesting and knowledgeable videos Laser technology to Cryptography to other Engineering marvels.

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Laser at 50

 This group of luminaries from the formative years of the laser expresses both wonder and delight at the astonishing ubiquity this technology has achieved in their lifetime. They recount their parts of a 50-year tale, and convey the excitement of scientific discovery and the pleasures of advancing knowledge in a new field.

The growth of Cryptography

Rivest makes quick work of the period before mid- 20th century, but credits the ancient Greeks for prime number factorization -- essential to cryptography -- and elementary ciphers. In the 18th and 19th century, mathematicians delved into number theory and extended techniques of factoring. The twentieth century, with its two world wars and technological advances, established the significance of cryptography on and off the battlefield. Alan Turing’s Enigma machine not only helped the allies win World War II, but catalyzed development of the first generation of computers. MIT professor Claude Shannon, who worked with Turing and other cryptanalysts, went on to father the field of information science, leading to the digital age.

Cryptography - Science or Magic

 Examples of the "tricks" that can be performed with modern cryptographic techniques will be presented and each trick explored to see whether it is "science" (i.e., it can be proved to do what it seems to do) or "magic" (i.e., what it seems to do is, or may be, only an illusion). The tricks considered will include no-break cryptography, no-leak secret sharing, no-key cryptography, no-see signatures, no-watch coin tossing, and no-knowledge proofs.

Perceptive Mobile Robots Working Safely Alongside Humans

Although we are still far from the moment of singularity, or even Star Wars ‘droids, we can anticipate robot colleagues in the near future, believes Seth Teller.

He is developing ‘situationally aware’ machines to help out humans in those “unstructured environments…where we live, work and recreate.” Teller’s goal is not “to solve the full AI problem,” but to provide robot solutions to specific challenges. Whatever the project, the robot must successfully navigate a messy human world with appropriate sensor data, and interact with us on our terms, through speech and gestures, overcoming potential unease. “We are working with ways of creating natural interactions between humans and robots, paying attention to notions of human acceptance,” says Teller.

The first venture Teller describes is an unmanned car, developed for a DARPA competition. Teller’s team had to design a vehicle that could not only “see” around itself, but understand the rules and hazards urban driving. Teller shows video of the “Urban Challenge” finals, with his car waiting patiently at an intersection for another car to pull out –“no honking or obscenities,” he notes. Someday, believes Teller, such a vehicle could help reduce U.S. driving fatalities, improve gas mileage and human productivity, and even replace thousands of military ground vehicles.

Numbers, Words and Colors

Tools developed by Martin Wattenberg and his associate Fernanda Viégas, have changed the way people look at and use visualizations, by empowering and equipping users with the methodology needed to ask different questions. Wattenberg, whose background is in math and computer science, asks how the humanities have influenced the evolution of data visualization and then answers with several examples from his own work.

Web Seer compares Google's "auto-suggest" feature in one-to-one, weighted comparisons such as "why doesn't he…" and "why doesn't she…" The resultant text image uses the size of arrows and words to reflect frequency, demonstrating how text can impart meaning. Another Wattenberg/Viégas collaboration is Many Eyes, a social media tool and Web site that has "democratized" powerful visualization systems by putting them in the hands of general audiences. This tool lets users visualize data in numerous ways, from scatterplots and bar charts to tree maps and stack graphs.

Improving your Commute - Intelligent Transport

In this lecture, Hari Balakrishnan describes three challenges that need to be met in using data to help commuters—pedestrians, bicyclists, drivers—reduce the time (and fuel) spent stuck in traffic: 1) accurate modeling of traffic delays while conserving energy and protecting user privacy, 2) accurate predictions of future traffic conditions, and 3) “traffic-aware” routing to provide credible, time-sensitive routes to users.

The broad premise of The CarTel Project is that solutions do not require massive investments by governments, but can rely on the electronics that most of us carry with us every day—cell phones. The technology has been around for years, but dramatic changes in computing and networking now allows its application at a massive scale and at sustainable costs.

Today’s smartphones are faster than your 2002 desktop and have the added advantage of including sensing and actuation capabilities—GPS, camera, microphone. Wireless availability produces a steady stream of data captures. Multiply this by the number of people carrying these devices and the amount of data captured is impressive. In return, you are provided with personalized feedback—your best route to a destination at a specific time of day linked to your personal calendar or pre-emptive warnings about current road conditions.

Last Updated on Saturday, 26 February 2011 23:17

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