IEEE Circuits and Systems Society

The MOS Device: Cornerstone of Quantum Computing

The MOS Device: Cornerstone of Quantum Computing 1920 1080 ieeeeduweek

Advances in semiconductor and superconductor technology have sparked a new round of research in quantum computing in recent years. Quantum computers hold the promise to efficiently solve problems that are intractable by today’s electronic computers. This talk will make a case for the advantages of electron spin qubit implementations using semiconductor technology when all layers of a quantum computer are considered.

IEEE-Affiliated Group Name: IEEE Circuits and Systems Society

URL: https://resourcecenter.cas.ieee.org/conferences/isicas-2022/CAS2022ISICAS0020.html

IEEE CAS Society Resource Center

IEEE CAS Society Resource Center

IEEE CAS Society Resource Center 2048 2560 ieeeeduweek

The IEEE CAS Society Resource Center has more than 80 in-depth technical resources, accessible from any location, available 24 hours a day, 7 days a week, and developed by engineering and technical experts in the circuits and systems. We recognize that the COVID-19 pandemic is impacting researchers, students, and engineers around the world, and the contents are currently available to be accessed for FREE. Check out our CASS Resource Center and experience the outstanding resources.

IEEE-Affiliated Group Name: IEEE Circuits and Systems Society

URL: https://ml.ieee-cas.org/

The Compute Requirements of Developing Super-Human Cognition

The Compute Requirements of Developing Super-Human Cognition 1920 1080 ieeeeduweek

The true potential of AI rests on super-human learning capacity, and on the ability to selectively draw on that learning. Both of these properties – scale and selectivity – challenge, the design of AI computers and the tools used to program them. A rich pool of new ideas is emerging, driven by a new breed of computing company. In this talk, the creation of the Intelligence Processing Unit (IPU) – a new type of processor, specifically designed for AI computation,

IEEE-Affiliated Group Name: IEEE Circuits and Systems Society

URL: https://resourcecenter.cas.ieee.org/conferences/aicas-2022/CAS2022AICAS0000.html

In-Memory Sensing and Computing

In-Memory Sensing and Computing 1920 1080 ieeeeduweek

The concept of In-Memory Computing is nowadays a well-established principle. Instead of separating the processing device by the memory units, as usually done in traditional von Neumann architectures, it proposes new architectures based on memory devices providing simultaneous computing. Indeed, this talk proposes the new concept of in-Memory Sensing and Computing as a disruptive novel approach in edge computing.

IEEE-Affiliated Group Name: IEEE Circuits and Systems Society

URL: https://resourcecenter.cas.ieee.org/conferences/biocas-2022/CAS2022BIOCAS0000.html

Making Computing More Brain-like

Making Computing More Brain-like 1920 1080 ieeeeduweek

While deep artificial neural networks have provided breakthroughs in AI, these gains come with heavy compute and data demands relative to their biological counterparts. Neuromorphic computing aims to narrow this gap by drawing inspiration from the form and function of biological neural circuits. The past years have seen significant progress in neuromorphic computing research, with chips like Intel’s Loihi demonstrating, for the first time, compelling quantitative gains over a range of workloads.

IEEE-Affiliated Group Name: IEEE Circuits and Systems Society

URL: https://resourcecenter.cas.ieee.org/conferences/aicas-2022/CAS2022AICAS0010.html

Enabling tinyML by Expoliting Heterogenous Multi-Core AI Processing

Enabling tinyML by Expoliting Heterogenous Multi-Core AI Processing 1920 1080 ieeeeduweek

TinyML strives for powerful machine inference in resource-scarce distributed devices. To allow intelligent applications at ultra-low energy and low latency, one needs 1.) compact compute and memory structures; 2.) which are used at very high utilization. This talk will introduce the benefits and challenges of such heterogeneous ML systems for intelligent edge devices, supported by practical examples for efficient deep inference.

IEEE-Affiliated Group Name: IEEE Circuits and Systems Society

URL: https://resourcecenter.cas.ieee.org/conferences/isicas-2022/CAS2022ISICAS0010.html