Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday |
|---|---|---|---|---|---|---|
| 0 events, | 0 events, | 0 events, | 0 events, | 0 events, | 0 events, | 0 events, |
| 0 events, | 0 events, | 0 events, | 0 events, | 0 events, | 0 events, | 0 events, |
3 events, We are excited to announce that SSCS Women in Circuits will provide childcare at ISSCC 2026 through KiddieCorp! Our goal is to provide your children with a program they want to attend, while giving you the critical “peace of mind” you need to attend sessions and events during the IEEE International Solid-State Circuits Conference (ISSCC). […]  Next Gen Circuit Designer Workshop 2026 Distinguished Speakers Fireside Chat Speaker Mydung Pham Corporate VP, Silicon Design Engineering, AMD She is a corporate vice president of design engineering in the Technology & Engineering Group at AMD. In her current role, Mydung leads AMD’s Central Design Methodology team delivering best in-class tools and methodology to support […]  New to networking and eager to jumpstart your professional journey? Does networking feel like a puzzle to be solved? Join our peer-to-peer networking event designed to connect emerging engineers and scientists with the broader professional community. | 2 events,●Regular WIC committee luncheon ●Planning, networking, recruiting new members ●WIC activities update Register here: https://www.eventbrite.com/e/wic-committee-luncheon-tickets-1975644943208?aff=ebdsoporgprofile | 3 events, Join us at the SSCS Member Lounge for a free professional headshot! Each person will be provided with 1 free headshot.  Are you looking to accelerate your career, gain invaluable industry insights, or expand your professional circle? Join the IEEE Solid-State Circuits Society (SSCS) Young Professionals for an evening of mentorship and networking designed specifically for students and young professionals. Held in conjunction with ISSCC 2026, this event offers a relaxed, welcoming environment to bridge the […] | 1 event, | 1 event, | 0 events, | 0 events, |
| 0 events, | 0 events, | 0 events, | 1 event, Abstract: Computing-in-memory (CiM), in conjunction with ultra-low precision (ULP) inputs and weights, promises a pathway towards the deployment of DNN workloads on resource-constrained edge platforms. For instance, CiM-enabled binary neural network (BNN) accelerators (with inputs and weights quantized to two states: {-1,1}) have shown potential by significantly reducing storage and energy cost while maintaining acceptable […] | 0 events, | 0 events, | 0 events, |
