18 papers · ranked by Valyu relevance
Jacob Harrison, Nathan Jessurun, Mark Tehranipoor
Many recent papers have proposed novel electrical measurements or physical inspection technologies for defending printed circuit boards (PCBs) and PCB assemblies (PCBAs) against tampering. As motivation, these papers frequently cite Bloomberg News' "The Big Hack", video game modchips, and "interdiction attacks" on IT…
Endres Puschner, Maik Ender, Steffen Becker, Christof Paar
Field Programmable Gate Arrays (FPGAs) are known for their reprogrammability that allows for post-manufacture circuitry changes. Nowadays, they are integral to a variety of systems including highsecurity applications such as aerospace and military systems. However, this reprogrammability also introduces significant…
Jia Hou, Zichu Liu, Zepeng Yang, Chen Yang + 1 more
Convolutional neural networks (CNNs) have demonstrated significant superiority in modern artificial intelligence (AI) applications. To accelerate the inference process of CNNs, reconfigurable CNN accelerators that support diverse networks are widely employed for AI systems. Given the ubiquitous deployment of these AI…
Musharraf Hussain, Naveed Khan Baloach, Gauhar Ali, Mohammed ElAffendi + 4 more
'Mohammed ElAffendi' 'Imed Ben Dhaou' 'Syed Sajid Ullah' 'Mueen Uddin' 'Arman Roohi'] Due to globalization in the semiconductor industry, malevolent modifications made in the hardware circuitry, known as hardware Trojans (HTs), have rendered the security of the chip very critical. Over the years, many methods have been…
Wei-Kai Liu, Benjamin Tan, Jason M. Fung, Krishnendu Chakrabarty
—As the complexity of System-on-Chip (SoC) designs continues to increase, ensuring thorough verification becomes a significant challenge for system integrators. The complexity of verification can result in undetected bugs. Unlike software or firmware bugs, hardware bugs are hard to fix after deployment and they require…
Moslem Heidarpur, Arash Ahmadi, Majid Ahmadi
Introduction Simulation of biological neural networks is a computationally intensive task due to the number of neurons, various communication pathways, and non-linear terms in the differential equations of the neuron. Method This study proposes an original modification to optimize performance and power consumption in…
Raquel J. Ibáñez Alcalá, Andrea Y. Macias, Cory N. Heaton, Ricardo Sosa Jurado + 12 more
Electrophysiological implants enable exploration of the relationship between neuronal activity and behavior. These technologies evolve rapidly, with multiple iterations of recording systems developed and utilized. Chronic implants must address a litany of complications, including retention of high signal-to-noise ratio…
Tanvir Rahman, A. B. M. Harun-ur Rashid
—In an increasingly interconnected world, protecting electronic devices has grown more crucial because of the dangers of data extraction, reverse engineering, and hardware tampering. Producing chips in a third-party manufacturing company can let hackers change the design. As the Internet of Things (IoT) proliferates…
M. Di Florio, Y. Bornat, M. Caré, V. R. Cota + 2 more
This study addresses the inherent difficulties in the creation of neuroengineering devices for closed-loop stimulation, a task typically characterized by intricate and technically demanding processes. Beneath the substantial hardware advancements in neurotechnology, there is often rather complex low-level code that…
Ivan Kondratyev, Weinan Sun
AI coding assistants excel at software tasks but lack structured access to laboratory hardware, the physical instruments that define experimental science. We present Ataraxis, an open-source framework that provides hardware control capabilities spanning camera acquisition, microcontroller communication, precision…
Lois Orosa, Ulrich Rührmair, A. Giray Yağlıkçı, Haocong Luo + 6 more
'Ataberk Olgun' 'Patrick Jattke' 'Minesh Patel' 'Jeremie Kim' 'Kaveh Razavi' 'Onur Mutlu'] RowHammer is a DRAM vulnerability that can cause bit errors in a victim DRAM row solely by accessing its neighboring DRAM rows at a high-enough rate. Recent studies demonstrate that new DRAM devices are becoming increasingly…
Marvin Fuchs, Luis E. Ardila-Perez, T. Mehner, Oliver Sander
—In the context of the High-Luminosity (HL) upgrade of the LHC, many custom ATCA electronics boards are being designed containing heterogeneous System-on-Chip (SoC) devices, more specifically the Xilinx Zynq UltraScale+ (ZUS+) family. While the application varies greatly, these devices are regularly used for performing…
Na-Kyoung Hwang, Sun-Hwa Shim, Paul B. Tchounwou
Healthcare is a field in which the benefits of virtual reality (VR), such as risk-taking without consequences, direct experience, and service outcome prediction, can be utilized. VR technology has been used to help clients face environmental barriers by implementing a home environment in virtual reality without a home…
Ludovico Rella
This paper investigates the role of the materiality of computation in two domains: blockchain technologies and artificial intelligence (AI). Although historically designed as parallel computing accelerators for image rendering and videogames, graphics processing units (GPUs) have been instrumental in the explosion of…
Authors not listed
We present a theoretical and computational framework for virtual mass spectrometry based on Molecular Maxwell Demons (MMDs) operating as information catalysts. Building on the biological Maxwell demon framework, we demonstrate that mass spectrometry data contain categorical state information that is fundamentally…
Xavier Cano Ferrer, Marcelo Moglie, George Konstantinou, Antonin Blot + 4 more
Presenting visual stimuli in neuroscience experiments often requires the combination of analogue signals that carry information about the visual cue presented on the LCD display. Such signals are often sensed by photodetectors and recorded in analogue to digital converter (ADC) acquisition boards. The use of…
Erin Looney, Andre Buscariolli, Maria Yang, Geoffrey Raymond + 2 more
Hardware-based startups risk having longer times-to-market, deterring investment in critical fields such as cleantech, medical devices, and automation. We interviewed 55 leaders at hardware startups, mapped their development timelines, and found prototyping to be the longest development step (median of 19 weeks per…
Maxwell B. Madden, Mahee Khatri, Arnav Mohanty, Disha Prasad + 2 more
Head-fixed behavior in rodents is a foundational technique in systems neuroscience which enables use of sophisticated imaging techniques in combination with animal behavior. However, accessibility of head-fixed behavior techniques is limited. Animal training consumes a large amount of experimenter labor and commercial…