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Power consumption has become the major concern in neural network accelerators for edge devices. The novel non-volatile-memory (NVM) based computing-in-memory (CIM) architecture has shown great potential for better energy efficiency.…

Systems and Control · Electrical Eng. & Systems 2024-02-22 Haobo Liu , Zhengyang Qian , Wei Wu , Hongwei Ren , Zhiwei Liu , Leibin Ni

In this paper, we propose a novel image calibration algorithm for a twofold time-interleaved DAC (TIDAC). The algorithm is based on simulated annealing, which is often used in the field of machine learning to solve derivative free…

Image and Video Processing · Electrical Eng. & Systems 2019-09-04 Daniel Beauchamp , Keith M. Chugg

Dynamic comparators are the core of high-speed, high-resolution analog-to-digital converters (ADCs) used for communication applications. Most of the dynamic comparators attain high-speed operation only for sufficiently high input difference…

Systems and Control · Electrical Eng. & Systems 2024-01-11 Komala Krishna , Nandakumar Nambath

Radio-frequency interference is a growing concern as wireless technology advances, with potentially life-threatening consequences like interference between radar altimeters and 5G cellular networks. Mobile transceivers mix signals with…

Integration is currently the only feasible route towards scalable photonic quantum processing devices that are sufficiently complex to be genuinely useful in computing, metrology, and simulation. Embedded on-chip detection will be critical…

We have developed two radiation-hard ASICs for optical data transmission in the ATLAS pixel detector at the LHC at CERN: a driver chip for a Vertical Cavity Surface Emitting Laser (VCSEL) diode for 80 Mbit/s data transmission from the…

Instrumentation and Detectors · Physics 2017-08-23 K. K. Gan

In a high-speed coherent optical transmission system, typically the signals obtained at the receiver front-end are digitized using very high-speed ADCs and then processed in the digital domain to remove optical channel impairments. In this…

Current video-based computer vision (CV) applications typically suffer from high energy consumption due to reading and processing all pixels in a frame, regardless of their significance. While previous works have attempted to reduce this…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Md Abdullah-Al Kaiser , Sreetama Sarkar , Peter A. Beerel , Akhilesh R. Jaiswal , Gourav Datta

An analog synapse circuit based on ferroelectric-metal field-effect transistors is proposed, that offers 6-bit weight precision. The circuit is comprised of volatile least significant bits (LSBs) used solely during training, and…

Emerging Technologies · Computer Science 2020-04-03 Arman Kazemi , Ramin Rajaei , Kai Ni , Suman Datta , Michael Niemier , X. Sharon Hu

Operations typically used in machine learning al-gorithms (e.g. adds and soft max) can be implemented bycompact analog circuits. Analog Application-Specific Integrated Circuit (ASIC) designs that implement these algorithms using techniques…

Neural and Evolutionary Computing · Computer Science 2021-06-24 Shih-Chii Liu , John Paul Strachan , Arindam Basu

A monolithic pixel sensor in deep-submicron Silicon-On-Insulator (SOI) CMOS technology has been designed, manufactured and characterised. This technology is of significant interest for applications in particle tracking and imaging. The…

Instrumentation and Detectors · Physics 2008-07-02 Marco Battaglia , Dario Bisello , Devis Contarato , Peter Denes , Piero Giubilato , Lindsay E. Glesener , Serena Mattiazzo , Chinh Vu

The H2M (Hybrid-to-Monolithic) is a monolithic pixel sensor manufactured in a modified \SI{65}{\nano\meter}~CMOS imaging process with a small collection electrode. Its design addresses the challenges of porting an existing hybrid pixel…

Mixed-signal neuromorphic systems represent a promising solution for solving extreme-edge computing tasks without relying on external computing resources. Their spiking neural network circuits are optimized for processing sensory data…

Neural and Evolutionary Computing · Computer Science 2023-07-13 Arianna Rubino , Matteo Cartiglia , Melika Payvand , Giacomo Indiveri

In the context of the studies of the ATLAS High Luminosity LHC programme, radiation tolerant pixel detectors in CMOS technologies are investigated. To evaluate the effects of substrate resistivity on CMOS sensor performance, the H35DEMO…

Heterogeneous systems with analog CMOS circuits integrated with nanoscale memristive devices enable efficient deployment of neural networks on neuromorphic hardware. CMOS Neuron with low footprint can emulate slow temporal dynamics by…

DEPFET pixel detectors are unique devices in terms of energy and spatial resolution because very low noise (ENC = 2.2e at room temperature) operation can be obtained by implementing the amplifying transistor in the pixel cell itself. Full…

The upgrade to the High Luminosity Large Hadron Collider will pose unprecedented challenges to the tracking systems of all experiments. Recent advancement of active pixel detectors designed in CMOS processes provide attractive alternatives…

Instrumentation and Detectors · Physics 2017-09-13 T. Bisanz , J. Große-Knetter , A. Quadt , J. Rieger , J. Weingarten

To understand the scientific imaging capability, one must characterize the intra-pixel sensitivity variation (IPSV) of the CMOS image sensor. Extracting an IPSV map contributes to an improved detector calibration that allows to eliminate…

Instrumentation and Methods for Astrophysics · Physics 2018-01-11 Swaraj Mahato , J. De Ridder , Guy Meynants , Gert Raskin , H. Van Winckel

The first evaluation of an ultra-high granularity digital electromagnetic calorimeter prototype using 1.0-5.8 GeV/c electrons is presented. The $25\times10^6$ pixel detector consists of 24 layers of ALPIDE CMOS MAPS sensors, with a pitch of…