Putting Passives In Their Place

Resistors, inductors, and capacitors are disappearing from view, integrated into the circuit board itself

11 min read

Open any cellphone, GPS receiver, camcorder, computer, or other consumer electronics system and what will you see? Less than you might expect, but still too much. A circuit board, maybe two, on which are mounted a few integrated circuits and dozens and dozens of tiny discrete devices—capacitors, resistors, and maybe a few inductors.

It is those so-called passive devices that, in fact, dominate the board’s real estate. Consider the Nokia 6161 cellphone, whose 40-cm2 circuit board contains just 15 ICs scattered among 232 capacitors, 149 resistors, and 24 inductors. The phone’s ICs contain millions of transistors, and yet it is those 405 passive components that mostly determine the area of the circuit board and the size of the cellphone.

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Video Friday: Turkey Sandwich

Your weekly selection of awesome robot videos

4 min read
A teleoperated humanoid robot torso stands in a kitchen assembling a turkey sandwich from ingredients on a tray

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

CoRL 2022: 14–18 December 2022, AUCKLAND, NEW ZEALAND

Enjoy today's videos!

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Neural rendering harnesses machine learning to paint pixels

5 min read
Four examples of Nvidia's Instant NeRF 2D-to-3D machine learning model placed side-by-side.

Nvidia Instant NeRF uses neural rendering to generate 3D visuals from 2D images.

NVIDIA

On 20 September, Nvidia’s Vice President of Applied Deep Learning, Bryan Cantanzaro, went to Twitter with a bold claim: In certain GPU-heavy games, like the classic first-person platformer Portal, seven out of eight pixels on the screen are generated by a new machine-learning algorithm. That’s enough, he said, to accelerate rendering by up to 5x.

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Intensive clinical collaboration is fueling growth of NYU Tandon’s biomedical engineering program

5 min read

This optical tomography device that can be used to recognize and track breast cancer, without the negative effects of previous imaging technology. It uses near-infrared light to shine into breast tissue and measure light attenuation that is caused by the propagation through the affected tissue.

A.H. Hielscher, Clinical Biophotonics Laboratory

This is a sponsored article brought to you by NYU’s Tandon School of Engineering.

When Andreas H. Hielscher, the chair of the biomedical engineering (BME) department at NYU’s Tandon School of Engineering, arrived at his new position, he saw raw potential. NYU Tandon had undergone a meteoric rise in its U.S. News & World Report graduate ranking in recent years, skyrocketing 47 spots since 2009. At the same time, the NYU Grossman School of Medicine had shot from the thirties to the #2 spot in the country for research. The two scientific powerhouses, sitting on opposite banks of the East River, offered Hielscher a unique opportunity: to work at the intersection of engineering and healthcare research, with the unmet clinical needs and clinician feedback from NYU’s world-renowned medical program directly informing new areas of development, exploration, and testing.

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