VLSI Symposia 2018 looks to machine learning

By Chris Edwards |  No Comments  |  Posted: October 12, 2017
Topics/Categories: Blog - EDA, PCB  |  Tags: , , , ,

Machine learning is among the focus topics at next year’s Symposia on VLSI Technology & Circuits in Honolulu, which has issued its call for papers.

To be held from June 18–22, 2018, the Symposia will kick off with short courses and host a forum on Deep Learning & Artificial Intelligence on the final day. The deadline for paper submissions to both Symposia is January 29, 2018.

Held together since 1987, the Symposia on VLSI Technology and Circuits have alternated each year between sites in the US and Japan, enabling attendees to learn about new directions in the development of VLSI technology and circuit design. The technical programs of both will continue with the overlapping schedule the two Symposia have used in recent years, including joint focus sessions that include invited and contributed papers on topics of mutual interest to both technology and circuit attendees.

The Symposia organizers are encouraging authors to submit papers that showcase innovations that encompass “big integration”, extending beyond single ICs and into the module level, with co-optimization of device technology and circuit/system design. Focus application areas include the Internet of Things (IoT), industrial electronics, machine learning, big-data management, biomedical applications, virtual reality (VR), augmented reality (AR), robotics, and smart cars.

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