Attestation Scheme Monitoring The Prover Using Hardware Security Module Connected To Its System Bus (Oxford)


A technical paper titled "Hardware-assisted remote attestation design for critical embedded systems" was published by researchers at University of Oxford. Abstract (excerpt) "To reveal attack scenarios exploiting the memory regions and time windows left unattested, we propose an attestation scheme that can continuously monitor both static and dynamic memory regions with better spatial and t... » read more

Chip Industry’s Technical Paper Roundup: Dec. 5


New technical papers added to Semiconductor Engineering’s library this week. [table id=67 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for u... » read more

Research Bits: Dec. 5


Protonic programmable resistors for AI Researchers from the Massachusetts Institute of Technology (MIT) developed an analog deep learning processor based on protonic programmable resistors arranged in an array. In the processor, increasing and decreasing the electrical conductance of protonic resistors enables analog machine learning. The conductance is controlled by the movement of protons... » read more

Capability Hardware Enhanced RISC Instructions (CHERI) For Verification, With Better Memory Safety (Oxford)


A technical paper titled "A Formal CHERI-C Semantics for Verification" was published by researchers at University of Oxford. Abstract: "CHERI-C extends the C programming language by adding hardware capabilities, ensuring a certain degree of memory safety while remaining efficient. Capabilities can also be employed for higher-level security measures, such as software compartmentalization, ... » read more

Research Bits: Oct. 25


Polarization for photonic processor Researchers from the University of Oxford and University of Exeter developed a photonic processor that uses multiple polarization channels, increasing information density. "We all know that the advantage of photonics over electronics is that light is faster and more functional over large bandwidths. So, our aim was to fully harness such advantages of phot... » read more

Technical Paper Round-up: August 8


New technical papers added to Semiconductor Engineering’s library this week. [table id=44 /] 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

Ultra-Fast Photonic Computing Using Polarization


New technical paper titled "Polarization-selective reconfigurability in hybridized-active-dielectric nanowires" was recently published by researchers at University of Oxford and University of Exeter.  The paper demonstrates "the ability to use polarization as a parameter to selectively modulate the conductance of individual nanowires within a multi-nanowire system. By using polarization as the... » read more

Research Bits: July 26


Photonic computing with polarization Researchers at the University of Oxford and University of Exeter developed a method that uses the polarization of light to maximize information storage density and computing performance using nanowires. The researchers note that different polarizations of light do not interact with each other, allowing each to be used as an independent information channe... » read more

Variational Quantum Algorithms (VQA)


  Abstract "Applications such as simulating large quantum systems or solving large-scale linear algebra problems are immensely challenging for classical computers due their extremely high computational cost. Quantum computers promise to unlock these applications, although fault-tolerant quantum computers will likely not be available for several years. Currently available quantum device... » read more

Power/Performance Bits: Feb. 23


Photonic AI accelerator There are now many processors and accelerators focused on speeding up neural network performance, but researchers at the University of Münster, University of Oxford, Swiss Federal Institute of Technology Lausanne (EPFL), IBM Research Europe, and University of Exeter say AI processing could happen even faster with the use of photonic tensor processors that can handle mu... » read more

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