A computer that processes analog data is known as an analog computer. Analog computers store information in physical quantities in a continuous format and use measurements to perform computation.

As requested by readers, editor Andy Turudic demonstrates that it’s child’s play to set up an Analog Computer to compute a Lorenz Attractor. Anabrid’s THAT Analog Computer provides a flexible, ...

Analogue Computing hits the road as editor Andy Turudic uses THe Analog Thing Analog Laptop Computer to simulate an automobile suspension encountering a pothole. Some of you may have already ...

Today, most of what we think of as a computer uses digital technology. But that wasn’t always the case. From slide rules to mechanical fire solution computers to electronic analog computers, there ...

Scientists have been working toward developing a novel mathematical approach that will help advance computation beyond the digital framework. Your computer performs most tasks well. For word ...

(Nanowerk Spotlight) The pursuit of faster and more efficient computing has been a driving force in technological progress for decades. As the demand for computational power continues to grow, ...

Could updated analog computer technology – popular from about 1940-1970 –be developed to build high-speed CPUs for certain specialized applications? Researchers at the Defense Advanced Research ...

When your only tool is a hammer, everything starts to look like a nail. That’s an old saying and perhaps somewhat obvious, but our tools do color our solutions and sometimes in very subtle ways. For ...

The digital television (DTV) transition refers to the switch from analog to digital broadcast television. When the DTV transition is completed on February 17, 2009, all U.S. full-power TV stations ...

Analog computers were largely phased out once digital systems began to hit the scene, but they’re still used in certain situations because they’re well-suited to complex simulations. Now, a research ...

The Defense Advanced Research Projects Agency awarded Professor Jie Gu and co-PIs from the University of Minnesota and Duke University up to $3.8 million through the Scalable Analog Neural-networks ...