Millimeter wave frequency operation offers wide bandwidths, precise localization, and rich material interaction and penetration capability.  Meeting consumer demand for enhanced safety, 77GHz automotive radar is one of the fastest growing features in automotive.  Leveraging the dense integration and fast transistor performance of modern silicon processes, emerging MMICs are delivering higher performance in a smaller form factor and are also extending the mm-wave capabilities to other sensing markets.  Radar’s next frontier is to improve angular resolution towards a true imaging radar that can complement or displace lidars in highly automated driving.  This talk will cover these application trends and how they are enabled by emerging radar ICs.

 

Brian Ginsburg received his S.B., M.Eng., and Ph.D. degrees from the Massachusetts Institute of Technology.   He joined Texas Instruments, Dallas, Texas in 2007 working in its wireless business and TI’s Kilby Labs.  Now, he is a Distinguished Member of Technical Staff and the systems manager of TI’s radar business.  He has served on the technical program committee for the International Solid-State Circuits Symposium and is Symposium Chair of the 2022 Symposium on VLSI Technology and Circuits.

 

Important: The participation is free of charge, but registration is required

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The low power IoT market began in earnest in 1999 with the launch of the first commercial Bluetooth^® device.  Analysis of >200 datasheets and published IEEE conference and journal papers shows that since then, active power consumption for these low data rate radios has reduced by 20x, while sensitivity has improved by 15dB.  Large power reductions have also been seen in metrics such as the standby and BLE-1s connection interval currents.  This talk will explore which innovations have made this possible, and what power consumption trends we can we expect in the future.   Questions to be addressed include:  How does power consumption trade off with data rate, transmit power and receiver sensitivity? How low power is low enough? Where do wakeup radios and energy harvesting fit into this?  Where will it all end?

 

Danielle Griffith received the B.S.E.E. and M.Eng. degrees from the Massachusetts Institute of Technology, Cambridge.   In 2003, she joined Texas Instruments in Dallas, Texas and is a Fellow in the Connectivity business unit.  Her current focus areas are circuits and architectures for efficient wireless systems, low power oscillators and MEMS circuitry.   She has published a book chapter and >50 papers, most of them in IEEE journals or conferences.   Danielle holds 19 issued US patents and has given numerous university and IEEE conference tutorial and workshop sessions.  She has been a member of the Technical Program Committees for the IEEE RFIC Symposium (2014-2015), IEEE International Solid-State Circuits Conference (2016-2019), and the IEEE VLSI Symposium (2019-2020).  She is a senior member of the IEEE, an associate editor of the IEEE Journal of Solid-State Circuits since 2020, and has been selected as Distinguished Lecturer of the IEEE Solid-State Circuits Society for 2021–2022.

 

Important: The participation is free of charge, but registration is required

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Microelectronic revolutions come in waves that are driven by necessity. Currently, the aging population is creating a need for various kinds of electronic systems to improve their quality of life. These include the restoration of lost functionality via electronic implants, better health screening technology and non-invasive monitoring in the home environment. This talk presents work that has been done towards addressing these needs, whether it be through the development of new required building blocks or through the development of more complex systems that combine custom built hardware and software. In particular the talk covers work done towards developing a vestibular implant for balance restoration, a single chip low-power imager for a bionic eye, a cancer screening capsule for detecting early-stage carcinomas in the small intestine, a bio-inspired acoustic scene analysis system, the development of the ElectroUteroGraph, as well as the use of custom chips for the design of adaptive metamaterials.

Julius Georgiou (IEEE M’98-SM’08) is an Associate Professor at the University of Cyprus. He received his M.Eng degree in Electrical and Electronic Engineering and Ph.D. degree from Imperial College London in 1998 and 2003 respectively. For two years he worked as Head of Micropower Design in a technology start-up company, Toumaz Technology.  In 2004 he joined the Johns Hopkins University as a Postdoctoral Fellow, before becoming a faculty member at the University of Cyprus from 2005 to date. He is one of the co-founders of AJM Med-i-CAPs Ltd.

Prof. Georgiou is a member of the IEEE Circuits and Systems Society, is the Chair of the IEEE Biomedical and Life Science Circuits and Systems (BioCAS) Technical Committee, as well as a member of the IEEE Circuits and Systems Society Analog Signal Processing Technical Committee. He served as the General Chair of the 2010 IEEE Biomedical Circuits and Systems Conference and is the Action Chair of the EU COST Action ICT-1401 on “Memristors-Devices, Models, Circuits, Systems and Applications – MemoCIS”. Prof. Georgiou was an IEEE Circuits and Systems Society Distinguished Lecturer for 2016-2017. He also was an Associate Editor of the IEEE Transactions on Biomedical Circuits and Systems, an Associate Editor of the Frontiers in Neuromorphic Engineering Journal and a Guest Editor for the IEEE Journal on Emerging and Selected Topics in Circuits and Systems, for Programmable Metamaterials and also Circuits and Systems for Smart Agriculture. He is a recipient of a best paper award at the IEEE ISCAS 2011 International Symposium and at the IEEE BioDevices 2008 Conference. In 2016 he received ONE Award from the President of the Republic of Cyprus for his research accomplishments.

Microelectronic revolutions come in waves that are driven by necessity. Currently, the aging population is creating a need for various kinds of electronic systems to improve their quality of life. These include the restoration of lost functionality via electronic implants, better health screening technology and non-invasive monitoring in the home environment. This talk presents work that has been done towards addressing these needs, whether it be through the development of new required building blocks or through the development of more complex systems that combine custom built hardware and software. In particular the talk covers work done towards developing a vestibular implant for balance restoration, a single chip low-power imager for a bionic eye, a cancer screening capsule for detecting early-stage carcinomas in the small intestine, a bio-inspired acoustic scene analysis system, the development of the ElectroUteroGraph, as well as the use of custom chips for the design of adaptive metamaterials.

 

Julius Georgiou (IEEE M’98-SM’08) is an Associate Professor at the University of Cyprus. He received his M.Eng degree in Electrical and Electronic Engineering and Ph.D. degree from Imperial College London in 1998 and 2003 respectively. For two years he worked as Head of Micropower Design in a technology start-up company, Toumaz Technology.  In 2004 he joined the Johns Hopkins University as a Postdoctoral Fellow, before becoming a faculty member at the University of Cyprus from 2005 to date. He is one of the co-founders of AJM Med-i-CAPs Ltd.

Prof. Georgiou is a member of the IEEE Circuits and Systems Society, is the Chair of the IEEE Biomedical and Life Science Circuits and Systems (BioCAS) Technical Committee, as well as a member of the IEEE Circuits and Systems Society Analog Signal Processing Technical Committee. He served as the General Chair of the 2010 IEEE Biomedical Circuits and Systems Conference and is the Action Chair of the EU COST Action ICT-1401 on “Memristors-Devices, Models, Circuits, Systems and Applications – MemoCIS”. Prof. Georgiou was an IEEE Circuits and Systems Society Distinguished Lecturer for 2016-2017. He also was an Associate Editor of the IEEE Transactions on Biomedical Circuits and Systems, an Associate Editor of the Frontiers in Neuromorphic Engineering Journal and a Guest Editor for the IEEE Journal on Emerging and Selected Topics in Circuits and Systems, for Programmable Metamaterials and also Circuits and Systems for Smart Agriculture. He is a recipient of a best paper award at the IEEE ISCAS 2011 International Symposium and at the IEEE BioDevices 2008 Conference. In 2016 he received ONE Award from the President of the Republic of Cyprus for his research accomplishments.

When: Monday, April 11, 2022 at 10:00 (Israel Time)

Where: Meyer 861

We hope to see you there in person, otherwise you can join us via this link:

Launch Meeting – Zoom

 

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In this seminar a bio-inspired memristor cellular nonlinear network, reproducing qualitatively the same counterintuitive phenomenon observed by Smale, is first designed. As compared to the 8th-order biological system in [1], the proposed array of two identical diffusively-coupled cells [4] features just 4 degrees of freedom, hosting 2 volatile locally-active niobium oxide-based threshold switches [5]-[6] from NamLab [7], and 2 capacitors, besides 3 resistors, and 2 batteries, to form the simplest everreported open physical system undergoing diffusion-driven instabilities with dynamic pattern formation. Then, a rigorous circuit- and system-theoretic study, based upon linearization analysis and large-signal phase-portrait investigations, sheds light on the local and global dynamics of the uncoupled cell, to demonstrate that, when the latter is biased on a globally asymptotically-stable and locally-active operating point, does the paradoxical phenomenon, reported by Smale in [1], emerge in the proposed bio-inspired array, under a sufficiently-strong resistive coupling condition. All in all, this presentation sheds light on the pivotal role that nonlinear circuit and system theory is expected to assume, in the years to come, to support circuit design with intrinsically-nonlinear nanodevices, and on the relevance of the adoption of solid-state memristive small-signal amplifiers ], [5 operating according to similar principles as the sodium and potassium ion channels in neuronal axon membranes [8], to reproduce the complex dynamics of biological networks in electronic systems.

 

Alon Ascoli (IEEE Senior Member) received a Habilitation as Full Professor in Fundamentals of Electrical Engineering from Technische Universität Dresden (TU Dresden) in 2022, a Ph.D. Degree in Electronic Engineering from University College Dublin in 2006, and a First-Class Honours Master’s Degree in Electronic Engineering from Universita’ degli Studi Roma Tre in 2001. He currently holds a tenure faculty position at the Institute of Principles of Electrical and Electronic Engineering of TU Dresden. He develops system-theoretic methods for the analysis and design of bio-inspired memristive/memcapacitive circuits bound to enable progress in electronics beyond the Moore era, and to allow the plausible reproduction of complex phenomena emerging in biological systems. He was honoured with Best Paper Awards from IJCTA in 2007 and MOCAST in 2020. In April 2017 he was conferred the habilitation title as Associate Professor in Electrical Circuit Theory from the Italian Ministry of Education. He is a member of the Scientific Advisory Board of the Chua Memristor Center, and of the IEEE Nanoelectronics and Gigascale Systems Technical Committee (Nano-Giga TC). He was the Chair of the IEEE Cellular Nonlinear Networks and Array Computing (CNNAC) TC from 2019 to 2021. Since 2021 he is the Chair of the new-born IEEE Cellular Nonlinear Networks and Memristive Array Computing (CNN-MAC) TC.

 

Important: The participation is free of charge, but registration is required

Registration for “Edge of Chaos behind Smale’s Silence-to-Regular Beating Transition Paradox”

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Augmented reality (AR) is a set of technologies that will fundamentally change the way we interact with our environment. It represents a merging of the physical and the digital worlds into a rich, context aware and accessible user interface delivered through a socially acceptable form factor such as eyeglasses. One of the biggest challenges in realizing a comprehensive AR experience are the performance and form factor requiring new custom silicon. Innovations are mandatory to manage power consumption constraints and ensure both adequate battery life and a physically comfortable thermal envelope. This presentation reviews Augmented Reality applications at Facebook Reality Labs and Silicon challenges.

 

Edith Beigné is the Research Director of AR/VR Silicon at Meta Reality Labs where she leads research projects driving the future of AR devices. Her main research interests are low power digital and mixed-signal circuits and design with emerging technologies. Over the past 20 years, she has been focusing her research on low power and adaptive circuit techniques, exploiting new design techniques and advanced technology nodes for different applications ranging from high performance multi-processors to ultra-low power SoC, and, more recently, AR/VR applications. She is the chair of ISSCC 2022 and part of ISSCC TPC since 2014, she was part of VLSI symposium TPC between 2015 and 2020. Distinguished Lecturer for the SSCS in 2016/2017, Women-in-Circuits Committee chair and JSSC Associate Editor since 2018. She visited Stanford University in 2018 to research on emerging technologies and new architectures.

Important: The participation is free of charge, but registration is required

Registration for “Reality Labs: Augmented Reality silicon challenges at and research directions”

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The continued scaling of horizontal and vertical physical features of silicon-based complementary metal-oxide-semiconductor (CMOS) transistors, termed as “More Moore”, has a limited runway and would eventually be replaced with “Beyond CMOS” technologies. There has been a tremendous effort to follow Moore’s law but it is currently approaching atomistic and quantum mechanical physics boundaries. This has led to active research in other non-CMOS technologies such as memristive devices, carbon nanotube field-effect transistors, quantum computing, etc. Several of these technologies have been realized on practical devices with promising gains in yield, integration density, runtime performance, and energy efficiency. Their eventual adoption is largely reliant on the continued research of Electronic Design Automation (EDA) tools catering to these specific technologies. Indeed, some of these technologies present new challenges to the EDA research community, which are being addressed through a series of innovative tools and techniques. In this tutorial, we will particularly cover the two phases of EDA flow, logic synthesis, and technology mapping, for two types of emerging technologies, namely, in-memory computing and quantum computing.

Anupam Chattopadhyay received his B.E. degree from Jadavpur University, India, MSc. from ALaRI, Switzerland, and Ph.D. from RWTH Aachen in 2000, 2002, and 2008 respectively. From 2008 to 2009, he worked as a Member of Consulting Staff in CoWare R&D, Noida, India. From 2010 to 2014, he led the MPSoC Architectures Research Group in RWTH Aachen, Germany as a Junior Professor. Since September 2014, Anupam was appointed as an Assistant Professor in SCSE, NTU, where he got promoted to Associate Professor with Tenure from August 2019. His research interests are in Application-specific architecture, Electronic Design Automation, and Security. Anupam is an Associate Editor of IEEE Embedded Systems Letters and series editor of Springer Book Series on Computer Architecture and Design Methodologies. Anupam received Borcher’s plaque from RWTH Aachen, Germany for outstanding doctoral dissertation in 2008, nomination for the best IP award in the ACM/IEEE DATE Conference 2016 and nomination for the best paper award in the International Conference on VLSI Design 2018 and 2020. He is a fellow of Intercontinental Academia and a senior member of IEEE and ACM.

Important: The participation is free of charge, but registration is required

Registration on “Electronic Design Automation for Emerging Technologies”

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Deep neural network inference comes with significant computational complexity, making their execution until recently only feasible on power-hungry server or GPU platforms. The recent trend towards real-time embedded neural network processing on edge and extreme edge devices requires a thorough cross-layer optimization. The talk will analyze what impacts NN execution energy and latency. Subsequently, we will present different research lines of Prof. Verhelst’s lab exploiting and jointly optimizing NPU/TPU processor architectures, dataflow schedulers and conditional, quantized neural network models for minimum latency and maximum energy efficiency. This includes precision-scalable fully-digital designs, as well as compute-in-memory processors. Finally, this talk will make a case for more methodological design space exploration in the vast optimization space of embedded NN processors, using the ZigZag framework.

Marian Verhelst is a full professor at the MICAS laboratories of the EE Department of KU Leuven. Her research focuses on embedded machine learning, hardware accelerators, HW-algorithm co-design and low-power edge processing. Before that, she received a PhD from KU Leuven in 2008, was a visiting scholar at the BWRC of UC Berkeley in the summer of 2005, and worked as a research scientist at Intel Labs, Hillsboro OR from 2008 till 2011. Marian is a topic chair of the DATE and ISSCC executive committees, TPC member of VLSI and ESSCIRC  and was the chair of tinyML2021 and TPC co-chair of AICAS2020. Marian is an IEEE SSCS Distinguished Lecturer, was a member of the Young Academy of Belgium, an associate editor for TVLSI, TCAS-II and JSSC and a member of the STEM advisory committee to the Flemish Government. Marian currently holds a prestigious ERC Starting Grant from the European Union, was the laureate of the Royal Academy of Belgium in 2016, and received the André Mischke YAE Prize for Science and Policy in 2021.

Important: The participation is free of charge, but registration is required

/registration-marian-verhelst/

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