Week In Review: Design, Low Power

By Marie C. Baca - 26 Aug, 2022 - Comments: 0

Quantum computing Baidu introduced a 10-qubit quantum computer called Qianshi and what it described as “the world's first all-platform quantum hardware-software integration solution that provides access to various quantum chips via mobile app, PC, and cloud.” The company said it has also completed the design of a 36-qubit quantum chip. Scientists said “levitating” nanoparticles co... » read more

Technical Paper Round-up: May 3

By Linda Christensen - 03 May, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=24 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for... » read more

Current Knowledge & Future Development In 2D Magnetic Materials Research

By Technical Paper Link - 26 Apr, 2022 - Comments: 0

Abstract: "Magnetism in two-dimensional (2D) van der Waals (vdW) materials has recently emerged as one of the most promising areas in condensed matter research, with many exciting emerging properties and significant potential for applications ranging from topological magnonics to low-power spintronics, quantum computing, and optical communications. In the brief time after their discovery, 2D... » read more

The speed limit of optoelectronics

By Technical Paper Link - 29 Mar, 2022 - Comments: 0

Abstract "Light-field driven charge motion links semiconductor technology to electric fields with attosecond temporal control. Motivated by ultimate-speed electron-based signal processing, strong-field excitation has been identified viable for the ultrafast manipulation of a solid’s electronic properties but found to evoke perplexing post-excitation dynamics. Here, we report on single-photon... » read more

Energy-efficient memcapacitor devices for neuromorphic computing

By Technical Paper Link - 03 Nov, 2021 - Comments: 0

Abstract Data-intensive computing operations, such as training neural networks, are essential for applications in artificial intelligence but are energy intensive. One solution is to develop specialized hardware onto which neural networks can be directly mapped, and arrays of memristive devices can, for example, be trained to enable parallel multiply–accumulate operations. Here we show that ... » read more

On the Design and Misuse of Microcoded (Embedded) Processors — A Cautionary Note

By Technical Paper Link - 08 Sep, 2021 - Comments: 0

Abstract: "Today's microprocessors often rely on microcode updates to address issues such as security or functional patches. Unfortunately, microcode update flexibility opens up new attack vectors through malicious microcode alterations. Such attacks share many features with hardware Trojans and have similar devastating consequences for system security. However, due to microcode's opaq... » read more

Manufacturing Bits: June 29

By Mark LaPedus - 29 Jun, 2021 - Comments: 0

Speeding up ALD with AI The U.S. Department of Energy’s (DOE) Argonne National Laboratory has developed various ways to make atomic layer deposition (ALD) more efficient by using artificial intelligence (AI). ALD is a deposition technique that deposits materials one layer at a time on chips. For years, ALD has been used for the production of DRAMs, logic devices and other products. In ... » read more

Manufacturing Bits: March 24

By Mark LaPedus - 24 Mar, 2020 - Comments: 0

Autonomous microscopes FLEET, also known as the ARC Centre of Excellence in Future Low-Energy Electronics Technologies, has developed an autonomous scanning probe microscopy (SPM) technology. SPM is an instrument that makes use of an atomically sharp probe. The probe is placed in close proximity above the surface of a sample. With the probe, the SPM forms images of the surface of the sample... » read more

Manufacturing Bits: Jan. 28

By Mark LaPedus - 28 Jan, 2020 - Comments: 0

Fast photography The California Institute of Technology has developed a high-speed camera that can take pictures of transparent objects. The technology, called phase-sensitive compressed ultrafast photography (pCUP), can take up to 1 trillion pictures per second of transparent objects. Potentially, the technology from Caltech could be used in several applications, such as taking photos of s... » read more

System Bits: Jan. 16

By Ann Mutschler - 16 Jan, 2018 - Comments: 0

Nitrogen-atom-sized sensors A new quantum sensor developed by Fraunhofer researchers will be able to measure the tiny magnetic fields of the next generation of hard discs, leveraging the new opportunities that quantum technology promises. [caption id="attachment_430671" align="aligncenter" width="300"] The special ellipsoid form of the plasma reactor developed at Fraunhofer IAF allows for l... » read more

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Knowledge Centers
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