Artificial intelligence is redefining the computing landscape. Chiplets and heterogeneous integration have become the key strategies for current and next-generation processors. In the wake of Moore’s law slowing down, system integration through...
With the outbreak of the COVID-19 pandemic, the persistent chip shortage, war in Ukraine, and U.S.–China tensions, the semiconductor industry is at a critical stage. Only if it is capable of major changes, will it be able to sustain itself and...
Neuromorphic computing, an interdisciplinary field combining neuroscience and computer science, aims to create efficient, bio-inspired systems. Different from von Neumann architectures, neuromorphic systems integrate memory and processing units to en...
High-dynamic-range (HDR) technology enhances the capture of luminance beyond the limits of traditional images, facilitating the capture of more nuanced and lifelike visual effects. This advancement has profound implications across various sectors, su...
Every element of our contemporary lives has changed as a result of the widespread use of computing infrastructure and information technology in daily life. Less focus has been placed on the hardware components that underpin the computing revolution,...
This article summarizes the current development status of nanoimprint lithography (NIL) technology and its application prospects in multiple industries. Nanoimprint lithography technology has significant advantages, such as low cost, high resolution,...
In recent years, the development of Advanced Driver-Assistance Systems (ADASs) is driving the need for more reliable and precise on-vehicle sensing. Radar and lidar are crucial in this framework, since they allow sensing of vehicle’s surroundin...
A general overview of Noise-Shaping Successive Approximation Register (SAR) analog-to-digital converters is provided, encompassing the fundamentals, operational principles, and key architectures of Noise-Shaping SAR (NS SAR). Key challenges, includin...
Radiation effects on electronic devices represent a major concern in applications for harsh environments, such as aerospace and nuclear facilities. This article presents a review of fundamental aspects of radiation effects on semiconductors, with a p...
Drawing inspiration from biological brains’ energy-efficient information-processing mechanisms, photonic integrated circuits (PICs) have facilitated the development of ultrafast artificial neural networks. This in turn is envisaged to offer pot...
In this article, a literature study has been conducted including 398 radar circuit elements from 311 recent publications (mostly between 2010 and 2022) that have been reported mainly in the F-, D- and G-Band (80–200 GHz). This study is intended...
Silicon radiation detectors, a special type of microelectronic sensor which plays a crucial role in many applications, are reviewed in this paper, focusing on fabrication aspects. After addressing the basic concepts and the main requirements, the evo...
Silicon carbide is changing power electronics; it is enabling massive car electrification owing to its far more efficient operation with respect to mainstream silicon in a large variety of energy conversion systems like the main traction inverter of...
Content-addressable memory (CAM) has been part of the memory market for more than five decades. CAM can carry out a single clock cycle lookup based on the content rather than an address. Thanks to this attractive feature, CAM is utilized in memory sy...
Oxygen vacancy engineering in metal oxides is a propitious route to modulate their resistive switching properties for memory and neuromorphic applications. This review provides an account of the research works on tailoring RS behavior in oxide thin-f...
Modern computer applications have become highly data-intensive, giving rise to an increase in data traffic between the processor and memory units. Computing-in-Memory (CiM) has shown great promise as a solution to this aptly named von Neumann bottlen...
For Convolutional Neural Networks (CNNs), Depthwise Separable CNN (DSCNN) is the preferred architecture for Application Specific Integrated Circuit (ASIC) implementation on edge devices. It benefits from a multi-mode approximate multiplier proposed i...
This paper reviews the state of the art on bandpass
This review discusses the principle of typical bandgap reference circuits and analyzes their sources of errors. In order to provide readers with a clear perspective, we categorize the error sources into four types: (a) amplifier offset; (b) high-orde...
With the development of artificial intelligence and edge computing, the demand for high-performance non-volatile memory devices has been rapidly increasing. Two-dimensional materials have ultrathin bodies, ultra-flattened surfaces, and superior physi...
Inverter-based Operational Transconductance Amplifiers (OTAs) are versatile and friendly scalable analog circuit blocks. Especially for the new CMOS technological nodes, several recent applications have been extensively using them, ranging from Analo...
The ongoing vivid advance in integration technologies is giving leverage both to computing systems as well as to sensors and sensor systems. Both conventional computing systems as well as innovative computing systems, e.g., following bio-inspiration...
The rapid growth of the Internet of Things (IoT) has significantly expanded the deployment of resource-constrained devices, introducing new security and privacy challenges. To address these concerns, the National Institute of Standards and Technology...
This paper presents an ultra-low power CMOS voltage reference which operates in the subthreshold region. Modified from the conventional 2T circuit, the proposed circuit is capable of generating higher output voltage by using the resistor subdivision....
This paper presents a design methodology for a low-power, low-chip-area, and high-resolution successive approximations register (SAR) analog-to-digital converter (ADC). The proposed method includes a segmented capacitive DAC (C-DAC) to reduce the pow...
With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintai...
This review is aimed at the integrated circuit design community and it explores slew-rate enhancement techniques for switched-capacitor amplifiers, with a primary focus on optimizing settling time within power constraints. Key challenges are addresse...
In this work, we present a compact “adaptive downsampling” method that mitigates the nonlinearity problems associated with FPGA-based TDCs that utilize delay lines. Additionally, this generic method allows for trade-offs between resolutio...
This paper presents a comprehensive review of GaAs HBT-based Doherty power amplifiers (DPAs) targeting 5G New Radio (NR) handset applications. Focusing on the critical challenges of linearity enhancement, back-off efficiency improvement, bandwidth ex...
The fast-maturing photonic integration technology is calling for a versatile platform that supports both active and passive functions as well as high scalability through component miniaturization. Indium phosphide (InP) has long been recognized for i...
This paper presents a state-of-the-art review of different approaches for Neural Architecture Search targeting resource-constrained devices such as microcontrollers, as well as the implementations of on-device learning techniques for them. Approaches...
Multiple serial interfaces have emerged to meet system requirements across devices, ranging from slower-speed buses, such as I2C, to high throughput serial interfaces, like JESD204. To address the need for a medium-speed protocol and to resolve I2C s...
The analog–mixed signal simulation environment, used for verifying non-volatile memory macrocells, is presented. It has been adopted over the last decade, providing excellent results in verification coverage, efficiency, and flexibility. This m...
Neuromorphic computing is promising to become a future standard in low-power AI applications. The integration between new neuromorphic hardware and traditional microcontrollers is an open challenge. In this paper, we present an interface board and a...
This work presents a rad-hard 12-bit 3 MS/s resistor string DAC for space applications. The converter has been developed using rad-hardened techniques both at architecture and layout levels starting from a conventional topology. The design considers...
This work introduces a novel custom-designed 16-bit RISC-V processor, intended for educational purposes and for use in low-resource equipment. The implementation, despite providing registers of 16 bits, is based on RV32E RISC-V ISA, but with some key...
In mixed-signal integrated circuits, interference between digital noisy and sensitive analog/RF circuits is a challenging performance issue. The high cost of chip fabrication requires accurate simulation of the circuits’ performance versus sign...
Different winner-take-all (WTA) and loser-take-all (LTA) circuits are studied, and their operations are analyzed in this review. The exclusive operation of the current conveyor, binary tree, and time-domain WTA/LTA architectures, as the most importan...
Power converters based on gallium nitride (GaN) are progressing swiftly owing to their exceptional efficiency and tiny dimensions, boosted by high power density and fast switching capabilities. Nevertheless, these benefits are accompanied by consider...
The noise-shaping (NS) successive-approximation-register (SAR) is a promising analog-to-digital converter (ADC) architecture which combines the benefits of SAR and Delta-Sigma (
This position paper extends the author’s keynote address from the 2024 IEEE European Solid-State Electronics Research Conference, offering a perspective on effective strategies for the advancement of analog and mixed-signal (AMS) integrated cir...
This work is focused on the performance of three different standard-cell-based comparator topologies, considering ultra-low-voltage (ULV) operation. The main application scenarios in which standard-cell-based comparators can be exploited are consider...
Memristor crossbar-based neural network systems offer high throughput with low energy consumption. A key advantage of on-chip training in these systems is their ability to mitigate the effects of device variability and faults. This paper presents an...
Nowadays, Graphical Processor Units (GPUs) are a great technology to implement Artificial Intelligence (AI) processes; however, a challenge arises when the inclusion of a GPU is not feasible due to the cost, power consumption, or the size of the hard...
Physical side-channel attacks utilize power, electromagnetic (EM), or timing signatures from cryptographic implementations during operation to retrieve sensitive information from security-critical devices. This paper provides a comprehensive review o...
This paper presents a four-channel beamforming TX implemented in 65 nm CMOS. Each beamforming TX is comprised of a C-2C split-array multiphase switched-capacitor power amplifier (SAMP-SCPA). This is the first use of multiphase interpolation (MPI) for...
We explore security aspects of a new computing paradigm that combines novel memristors and traditional Complimentary Metal Oxide Semiconductor (CMOS) to construct a highly efficient analog and/or digital fabric that is especially well-suited to Machi...
Physically unclonable functions (PUFs) represent emerging cryptographic primitives that exploit the uncertainty of the CMOS manufacturing process as an entropy source for generating unique, random and stable keys. These devices can be potentially use...
Due to the increasing complexity of analog circuits and their integration into System-on-Chips (SoC), the analog design and verification industry would greatly benefit from an expansion of system-level methodologies using SystemC AMS. These can provi...
Recently, with the aim of extending the use of the CP in all those applications where a time-variant signal must be amplified with its DC component above the positive power supply rail, the signal amplification feature of a conventional Dickson charg...
