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Show Recap: Detroit Goes Electro-tastic!

Slammed by the economic crisis, most carmakers showed hybrid or electric vehicles

3 min read

Detroit—Amid a meltdown in consumer credit and the widespread assumption that Chrysler was on its last legs—with General Motors not far behind—the North American International Auto Show held here saw electric car and hybrid vehicle flashed on video screens throughout the event.

The withdrawal of several carmakers, including Nissan, gave every exhibitor a space on the main floor of Detroit’s battered Cobo Hall convention center. This provided two green start-ups--Tesla, with its electric Roadster, andFisker, with its sleek Karma plug-in hybrid—with far greater visibility than they might have expected. The same applied to Chinese manufacturersBYD andBrilliance as well.

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Ultra-Fast Racetrack Memory Enters the Third Dimension

Arrays of arching nanowires could lead to ultra-fast, ultra-high-density solid-state non-volatile memory

2 min read
Ultra-Fast Racetrack Memory Enters the Third Dimension

An artist's depiction of a 3D racetrack memory device.

Christine Pouss/Stuart Parkin/Ke Gu

Racetrack memory could hold vast amounts of data that one can access extraordinarily quickly. Now, in a new study, scientists reveal 3D racetrack memory devices that may greatly increase the potential of this technology.

Racetrack memory encodes bits of data in the form of magnetic domain walls. These walls divide a material into domains, inside which magnetic poles all point in the same direction. Electric pulses can push these domain walls back and forth within nanowires, making them run like race cars down a track. Magnetic sensors and other electronics can then read and write data on any point on this racetrack.

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Machine Learning Shaking Up Hard Sciences, Too

Heard of graph neural networks? Particle physicists have

3 min read
Machine Learning Shaking Up Hard Sciences, Too

A view of the underground ALICE detector used to study heavy-ion physics at the Large Hadron Collider (LHC).

CERN

Particle physicists have long been early adopters—if not inventors—of tech from email to the Internet. It’s not surprising, then, that as early as 1997, researchers were training computer models to tag particles in the messy jets created during collisions. Since then, these models have chugged along, growing steadily more competent—though not to everyone’s delight.

“I felt very threatened by machine learning,” says Jesse Thaler, a theoretical particle physicist at the Massachusetts Institute of Technology. Initially, he says he felt like it jeopardized his human expertise classifying particle jets. But Thaler has since come to embrace it, applying machine learning to a variety of problems across particle physics. “Machine learning is a collaborator,” he says.

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Exploring the Value of Power Modules

Learn how power modules can reduce power supply size, EMI, design time, and solution cost

1 min read
Texas Instruments

In this training series, we will discuss the high level of integration of DC/DC power modules and the significant implications that this has on power supply design.

Watch this free webinar now!

In addition to high power density and small solution size, modules can also simplify EMI mitigation and reduce power supply design time. And thanks to improved process and packaging technology, a power module may even provide all of these benefits with a lower overall solution cost as well.

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