DesignCon is part of the Informa Markets Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Early Bird Registration Now Open till November 30th. Save Up to $300 Today!

DesignCon 2019 Presentation Viewer

Purchase procecdings

Welcome to the DesignCon Presentation Store. Here you can view and download conference and/or show floor theater presentations before, during, and after the event. If you’re looking for a presentation from a specific session that you’re unable to find here, note that it’s likely because the presenter has not provided permission for external use or has not yet shared their presentation with us. Please check back after the event for a more complete catalogue of available presentations.

If you’d like to do a bulk download of all conference presentations or technical papers at once, please click here for conference presentations or click here for full technical papers. For sessions not included in the main conference, click here for Chiphead Theater presentations or click here for sponsored session presentations.

Panel – Real World Cloud & Machine Learning/AI Deployment for Hardware Design

Christopher Cheng (Distinguished Technologist, Hewlett Packard Enterprise)

Norman Chang (CTO, ansys)

Wendem Beyene (Principal Engineer, Intel PSG)

David White (Sr. Group Director, R&D, Cadence)

Chekib Akrout (Corporate VP, Strategic Programs, Synopsys)

Location: Ballroom D

Date: Wednesday, January 30

Time: 3:45pm - 5:00pm

Track: 15. Machine Learning for Microelectronics, Signaling & System Design

Session Type: Panel Discussion (Free)

Vault Recording: TBD

As cloud, machine learning and artificial intelligence solutions proliferate the technology industry, we would like to showcase some of their real world deployment in hardware and electronic design. From EDA, semiconductor to system design, we give examples of their usages. It is time to move machine learning and artificial intelligence out of research labs and into the real world.