Hardware
Johns Hopkins electrical and computer engineers are pioneering a new approach to creating neural network chips—neuromorphic accelerators that could power energy-efficient, real-time machine intelligence for next-generation ...
Mar 5, 2024
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130
Business
The Biden administration on Friday announced the investment of $5 billion in a newly established public-private consortium aimed at supporting research and development in advanced computer chips.
Feb 9, 2024
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30
Electronics & Semiconductors
A paper published in the journal Science China Information Sciences comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel ...
Nov 2, 2023
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8
Hardware
The HEP research project has presented an open, flexible design for a security chip. The project, "Hardening the value chain through open source, trusted EDA tools and processors (HEP)," uses open source, free components ...
Oct 20, 2023
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25
Electronics & Semiconductors
Researchers at the Indian Institute of Science (IISc) have developed a design framework to build next-generation analog computing chipsets that could be faster and require less power than the digital chips found in most electronic ...
Jul 5, 2022
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264
Hardware
Researchers from NC State University and Synopsys are unveiling a new computer chip design kit to facilitate the development of new chips – and are making it freely available in order to encourage growth and innovation ...
Aug 30, 2021
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433
Electronics & Semiconductors
A hacker can reproduce a circuit on a chip by discovering what key transistors are doing in a circuit—but not if the transistor "type" is undetectable.
Dec 7, 2020
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82
Engineering
The first fully integrated single-chip digital millimeter-wave (MMW) beamformer, created by electrical and computer engineers at the University of Michigan, opens up new possibilities in high-frequency 5G communications. ...
Nov 13, 2020
2
329
Electronics & Semiconductors
In recent years, many research teams worldwide have been developing computational techniques inspired by the human brain, such as deep learning algorithms. While some of these techniques are considered highly promising for ...
Robotics
The two main pitfalls of robots which imitate the human body are their control and the difficulty encountered when manufacturing them in a cost-effective manner.
Jun 18, 2020
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