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Semiconductor Research Corporation Announces 2024 Call for Research, $13.8M in Funding Opportunities

Semiconductor Research Corporation Announces 2024 Call for Research, $13.8M in Funding Opportunities
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Semiconductor Research Corp unveils 2024 Research Call, $13.8M Funding

DURHAM, NC, April 10, 2024 -- Semiconductor Research Corporation (SRC), a premier research and workforce development consortium, is announcing the start of solicitation season with $13.8 million in funding opportunities. Calls for research will begin in early April and will run through June.

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Semiconductor Research Corporation Announces 2024 Call for Research, $13.8M in Funding Opportunities

Semiconductor Research Corporation Announces 2024 Call for Research, $13.8M in Funding Opportunities
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New Microelectronics and Advanced Packaging Roadmap Guides U.S. Electronics Ecosystem · EMSNow

New Microelectronics and Advanced Packaging Roadmap Guides U.S. Electronics Ecosystem · EMSNow
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The MAPT Roadmap - A Plan to Revitalize the Semiconductor Industry for Decades to Come

The MAPT Roadmap - A Plan to Revitalize the Semiconductor Industry for Decades to Come
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Twist Bioscience Announces Participation in SRC Panel at the 2022 MRS Spring Meeting and Exhibit

Twist Bioscience Announces Participation in SRC Panel at the 2022 MRS Spring Meeting and Exhibit
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Aspinity's Awesome Analog Artificial Neural Networks (AANNs) – EEJournal


by Max Maxfield
I’m a digital logic designer by trade. In an ever-changing and increasingly unreliable world, I find the certainty of Boolean equations to be extremely reassuring. You know where you are with a Karnaugh map, you can trust a De Morgan transformation, and you can gratify your desire for single-bit transitions with a Gray code. By comparison, I find the wibbly-wobbly nature of analog electronics to be somewhat disconcerting, which is unfortunate because there’s so much of it about these days.
One of the funny things is that “analog” was supposed to be the stuff of yesteryear. When I was coming up in electronics, digital functions were expensive in terms of transistors, and transistors were expensive in terms of cold, hard cash. That’s one of the reasons why analog computers hung on for decades after their digital counterparts first arrived on the scene. It was possible to implement analog signal processing (ASP) functions using a handful of transistors (or vacuum tubes) that would have required hundreds or even thousands of transistors to be realized as digital signal processing (DSP) equivalents. Even more demeaning (to a digital engineer) was the fact that many analog operations functioned faster and consumed lower power than did their digital counterparts.

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The Future of Neuromorphic Computing


The Future of Neuromorphic Computing
5 hours ago
Neuromorphic Computing Devices and Materials
The information age runs on “data as the new oil”, and the volume of data consumed by the world is expected to grow from around 50 zettabytes (ZB) in 2020 to around 170ZB by 2025. The COVID pandemic led to a big increase in data streams to support telepresence for healthcare, shopping, work from home (WFH), and school from home (SFH). Semiconductor integrated circuits (ICs) are the engines of the information age, built using atomic-scale devices in communications, logic and memory chips. A global market for critical materials worth approximately $50B (US dollars) supports a semiconductor manufacturing industry that produces greater than $400B in annual revenues.

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