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    Building Energy-Efficient Computing Platforms

    December 6, 2022, Categories  Technology/Electronics

    Building energy-efficient computing platforms
    Images of the electronic platform used in the studies. Credit: CeNSE, IISc

    The massive growth of data centers that consume enormous amounts of energy has contributed significantly to power shortages worldwide. With rising demand for faster and more intelligent computers and devices, there is a pressing need to develop alternatives to traditional electronic components that will make these devices more energy-efficient.

    In two recent studies, researchers at the Centre for Nano Science and Engineering (CeNSE), IISc, report the development of a highly energy-efficient computing platform that offers promise in building next-generation electronic devices.

    Instead of using complementary metal-oxide semiconductors (CMOS) which are the building blocks of most electronic circuits today, th...

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    Researchers realize Gallium Nitride-based Complementary Logic Integrated Circuits

    September 6, 2021, Categories  Technology/Electronics, Physics

    Researchers realize Gallium nitride (GaN)-based complementary logic integrated circuits
    (a) Schematic view of the device structure of the GaN complementary logic inverter developed at HKUST; (b) corresponding circuit diagram; (c) perspective view of a true-color photo of the 15-stage GaN complementary ring oscillator fabricated in HKUST. (d) Cross-coupled plot of voltage transfer curves at different temperatures, and (e) static power dissipation with respect to different supply voltage and input voltage of the reported inverter. The inverter is very stable up to 200 °C with substantially large noise margins. (f) Oscillating waveform and the corresponding power spectrum of the reported ring oscillator. Credit: Zheng et al. (Springer Nature).

    Most integrated circuits (ICs) and electronic components developed to date are based on silicon metal-oxide-semiconductor (CMOS) tec...

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    Brain-inspired highly scalable Neuromorphic Hardware

    August 6, 2021, Categories  Health/Medical, Biology/Biotechnology

    Single transistor neurons and synapses fabricated using a standard silicon CMOS process. They are co-integrated on the same 8-inch wafer

    KAIST researchers fabricated a brain-inspired highly scalable neuromorphic hardware by co-integrating single transistor neurons and synapses. Using standard silicon complementary metal-oxide-semiconductor (CMOS) technology, the neuromorphic hardware is expected to reduce chip cost and simplify fabrication procedures.

    The research team led by Yang-Kyu Choi and Sung-Yool Choi produced a neurons and synapses based on single transistor for highly scalable neuromorphic hardware and showed the ability to recognize text and face images. This research was featured in Science Advances on August 4.

    Neuromorphic hardware has attracted a great deal of atten...

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    Quantum world-first: Researchers reveal accuracy of Two-Qubit calculations in Silicon

    May 15, 2019, Categories  Physics

    Professor Andrew Dzurak and team
    Wister Huang, a final-year PhD student in Electrical Engineering; Professor Andrew Dzurak; and Dr Henry Yang, a senior research fellow.

    The research, carried out by Professor Andrew Dzurak’s team in UNSW Engineering, was published in the journal Nature. The experiments were performed by Wister Huang, a final-year PhD student in Electrical Engineering, and Dr Henry Yang, a senior research fellow at UNSW.

    “All quantum computations can be made up of one-qubit operations and two-qubit operations – they’re the central building blocks of quantum computing,” says Professor Dzurak.

    “Once you’ve got those, you can perform any computation you want – but the accuracy of both operations needs to be very high.”

    In 2015 Dzurak’s team was the first to build a quantum logic gate in silicon,...

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