In-Depth Analysis of 187 Publications on Hardware Reverse Engineering (Ruhr U., MPI)


A new technical paper, "SoK: From Silicon to Netlist and Beyond Two Decades of Hardware Reverse Engineering Research," was published by the Ruhr University Bochum and the Max Planck Institute for Security and Privacy. Abstract "As hardware serves as the root of trust in modern computing systems, Hardware Reverse Engineering (HRE) is foundational for security assurance. In practice, HRE en... » read more

Chip Industry Week in Review


San Francisco-based Substrate raised more than $100 million to build a vertically integrated foundry that uses particle accelerators to produce "the world's brightest beams, enabling a new method of advanced X-ray lithography." The company claims its technology is comparable to ASML's high NA EUV, and notes it can extend well beyond 2nm. ASML has not publicly commented. The Nexperia chip sho... » read more

Research Bits: Jan. 13


High-temp electrochemical memory Researchers from the University of Michigan and Sandia National Laboratory propose a nonvolatile electrochemical memory that can store and rewrite information at temperatures over 1100°F (600°C), enabling it to continue working in environments as extreme as the surface of Venus. Instead of transporting electrons, the memory moves oxygen ions between layere... » read more

Week In Review: Design, Low Power


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


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


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


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


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


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


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

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