Caught the movie "Deep Impact" yet? Just how real-to-life does Steven Spielberg's blockbuster portray an asteroid striking the planet Earth? Computer scientists at Sandia National Laboratories think they can better approximate a real asteroid catastrophe. Using virtual reality techniques, decades of experience in shock physics, advanced computer programs, and the world's fastest computer, the scientists recently completed one of the largest hypervelocity impact physics calculations ever performed. In the computing scenario, an asteroid 1.4 km in diameter strikes the Atlantic Ocean 25 miles south of Brooklyn, NY. To model the event, the scientists broke up a 120-square-mile space that roughly corresponds to the New York City metropolitan area, the air above, and the water and earth below, into 100 million separate grids. Sandia's teraflops supercomputer then calculated what happened in each cube as the asteroid splashed down. The researchers then reassembled the cubes to produce a 3D movie of the collision. How did Spielberg do? According to the simulation, the impact would vaporize the asteroid, deform the ocean floor, and eject hundreds of cubic miles of superheated water vapor, melted rock, and other debris into the upper atmosphere and back into space. The debris would rain down over the world for the next several hours and form a high global cloud. The shock wave from the impact would level much of the New England region. E-mail email@example.com.
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
The promise of the Internet of Things (IoT) is that devices, gadgets, and appliances we use every day will be able to communicate with one another. This potential is not limited to household items or smartphones, but also things we find in our yard and garden, as evidenced by a recent challenge from the element14 design community.
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