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Icosatetraped does, in fact, mean “twenty-four legged.” I’m not sure how to inject “soft” into that word (icostatetrasquishaped?), but this robot does have 24 soft legs. Or rather, 8 legs are soft (and moving) at any one time, while the other 16 are pressurized to carry the weight of the bot. It can move at about 1 meter per minute, which isn’t especially fast, but who cares, look at all of those little legs go! Made from plastic medical tubing, particle board, a bunch of solenoids, a Mac Mini, and some 24 volt rotary vane compressors salvaged from Gulf War nerve gas detecting equipment, this is about as DIY as it gets, and it’s awesome.

When Pantelis Georgiou and his fellow biomedical engineers at Imperial College London decided to design an intelligent insulin pump for diabetes patients, they started at the source. "We asked ourselves, what does a pancreas do to control blood glucose?" Georgiou recalls. The answer is pretty well known: The organ relies primarily on two populations of cells—beta cells, to secrete insulin when blood glucose is high, and alpha cells, which release a hormone called glucagon when glucose levels are low. "We simulated them both in microchip form," Georgiou says. This biomimetic approach diverges from today's dominant method of delivering only insulin using a relatively simple control system.

Rube Goldberg couldn’t have designed a more elegant confluence of convoluted causal relationships.  Start analyzing the perplexing paradox of the FPGA synthesis market and each link of the chain reveals a bizarre force vector that eventually doubles back onto itself into an unlikely equilibrium that miraculously has held stable for a full decade despite disruptive forces of epic proportions. For over a decade now, Synplify has navigated these waters and has continued to survive and thrive through the unlikeliest of conditions.  Now in the hands of EDA giant Synopsys, the Synplify family of FPGA synthesis tools continues to evolve - with a major upgrade this fall.  When you put a digital design into an FPGA, there are two technologies that determine whether your design fits or doesn’t fit, whether it meets your timing constraints or does not, whether the power consumption will be within your limits (or those of the FPGA), or whether it fails completely, leaving your project at the mercy of major mulligans.   Those two technologies are synthesis and place-and-route. 

This article features an example chapter from a new *Hot-off-the-Press* book on FPGA Design that just recently hit the streets in August 2010. This chapter is reproduced here with the kind permission of the publisher – Springer. This book -- FPGA Design: Best Practices for Team-Based Design -- describes best practices for successful FPGA design. It is the result of the author’s meetings with hundreds of customers on the challenges facing each of their FPGA design teams. By gaining an understanding into their design environments, processes, what works and what does not work, key areas of concern in implementing system designs have been identified and a recommended design methodology to overcome these challenges has been developed.

In this video we present four types of wall climbing robots that were developed in Dr. Amir Shapiros lab at the Department of Mechanical Engineering of Ben Gurion University of the Negev, Israel. The robots shown are: First, a magnetic climber that has compliant magnetic wheels and is capable to climb on ferromagnetic surfaces. This robot can be used for inspection of ship hull or bridges. Second, is a Snail inspired wall climbing robot capable of climbing on non metallic surfaces using hot melt glue. The robot secretes the adhesive at the front and peels off the track from the wall at the bottom leaving a trail behind just like the snail does. Third, is a robot that uses sticky wheels in order to attach itself to the wall. It simply has 3Ms sticky tape on the wheels. It can climb on smooth surfaces like glass. Fourth, is a four legged wall climbing robot for climbing on rough surfaces. It has 12 claws made of fishing hooks mounted on each footpad, and it climbs like cat or other rodents. For further information email: ashapiro@bgu.ac.il. See also: www.bgu.ac.il/~ashapiro and http://bgurobots.pbworks.com/

The FPGAs referenced in these articles have complex dedicated I/O circuitries that are primarily designed to support external memory interfaces. The ALTMEMPHY megafunction is designed to support the most common memory standards, such as the DDR and DDR 2 SDRAM and QDR II+/QDR II SRAM (in a burst length of 4) interfaces. The ALTMEMPHY megafunction should be used whenever possible as it is beneficial to use the IP and timing closure methodologies used with these FPGAs, which enables users not to have to create this function manually as compared with using the ALTDLL and ALTDQ_DQS solution. However, the ALTMEMPHY megafunction does not support other external memory standards such as Mobile DDR, QDR II+/QDR II SRAM (in burst length of 2) or customized DDR and DDR 2 SDRAM external memory standards. For these scenarios, use the ALTDLL and ALTDQ_DQS megafunctions to access the FPGA architecture and build a custom external memory interface.

One of the biggest commercial applications of spintronics in computing to date has been the use of giant magnetoresistance (GMR), the material phenomenon that makes possible the huge storage capacity of today’s hard disk drives. In the awarding of the 2007 Nobel Prize in Physics, GMR was cited as the first big commercial application for nanotechnology. But extending the commercial application of spintronic-enabled systems beyond read heads for HDDs has proven to be a difficult task. One need only look at the seemingly endless travails of NVE Corporation, which in its financial results still shows it greatest revenue growth in contract research as opposed to product sales. While recent research from a team of researchers at Ohio State University and the University of Hamburg in Germany may not turn around the fortunes of spintronics in the short term, it does provide a way to better characterize the spin of electrons and thereby promises better ways of exploiting it for electronics applications. The researchers are reporting in Nature Nanotechnology that they have for the first time been able to create images of the spin direction of electrons.