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Design and Modelling Challenges for Very Large-Scale Integrated Quantum Processors in Foundry CMOS Technologies
Speaker: Sorin P. Voinigescu Friday, November 18th, 2022 at noon – 1PM PDT Register Here Webex link will be distributed to the registrant via email.Organizer contact: Hiu Yung Wong (hiuyung.wong at… Read more
RF DESIGN FOR ULTRA-LOW-POWER WIRELESS COMMUNICATION SYSTEMS
REGISTRATION: Registration Link Here
Memristor Circuits and Systems
Sung-Mo “Steve” Kang Distinguished Professor Emeritus and Research Professor University of California, Santa Cruz Abstract: For over a half century, the semiconductor industry has made phenomenal progresses to benefit our… Read more
Hardware acceleration of Deep Neural Networks (DNN) Using Single Input Partial Product 2-Dimensional Convolution (SIPP2D)
Abstract:Hardware acceleration of Deep Neural Networks (DNN) is a highly effective and viable solution for running them on mobile devices. The power of DNNs is now available at the edge… Read more
Title : Generative surrogate models with machine learning methods for real-time digital twins simulation of high-speed channels
Abstract : This talk will be focusing on using generative models to accelerate high speed channel analysis and optimization. We will start with a brief introduction of Bayesian surrogate models… Read more
IEEE CAS Webinar: “Accelerating Streaming AI Inference using Sparsity and Locality”(Part II)
Speaker: Dr. Sam Fok, Founder and CEO, Femtosense Abstract: Femtosense enables streaming AI inference for up to 100x less energy and 10x less area than existing inference accelerators. AI algorithms demand… Read more
IEEE CAS WebinarAccelerating Streaming AI Inference using Sparsity and LocalityHost: IEEE CAS Dallas chapter (co-hosted by IEEE CAS SCV chapter)Date:Thursday, May 5, 2022Time:10:00 a.m. – 11:00 a.m. (PDT)Meeting: Online (see below for link to Zoom)
Speaker: Dr. Sam Fok, Founder and CEO, Femtosense Abstract: Femtosense enables streaming AI inference for up to 100x less energy and 10x less area than existing inference accelerators. AI algorithms… Read more
The Future of Hardware Technologies for Computing: N3XT 3D MOSAIC,Illusion Scaleup, Co-Design
Speaker: Prof. Subhasish Mitra, Dept. of EE and Dept. of CS, Stanford UniversityThe computation demands of 21st-century abundant-data workloads, suchas AI / machine learning, far exceed the capabilities of today’scomputing systems. For… Read more
Transforming Hearing Aids into Multifunctional Health and Communication Devices with Artificial Intelligence (AI).
Abstract: With over 466 million people suffering from disabling hearing loss globally according to the World Health Organization, hearing aids are crucially important medical wearable devices. Untreated hearing loss has… Read more
In-Memory Computing with Emerging Memory Technologies
Qiangfei Xia, Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, Email: qxia@umass.edu Abstract: It becomes increasingly difficult to improve the speed-energy efficiency of traditional digital processors… Read more