Enabling on-device learning at scale

Thursday, October 28, 2021 | 9:00 AM PDT

Enabling on-device learning at scale

The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are producing more and more data that could help improve our AI experiences. How do we learn and efficiently process all this data from edge devices while maintaining privacy? On-device learning rather than cloud training can address these challenges. In this webinar, we’ll discuss:
  • Why on-device learning is crucial for providing intelligent, personalized experiences without sacrificing privacy
  • Our latest research in on-device learning, including few-shot learning, continuous learning, and federated learning
  • How we are solving system and feasibility challenges to move from research to commercialization 

Overview

September 17th: Day 1 – Keynote & Presentations 8:00am-4:00pm
Location: Qualcomm – N Auditorium 5775 Morehouse Drive, San Diego, CA

September 17th: 4:30pm-6:30pm: Networking Meetings & Reception
Location: La Jolla Marriott 4240 La Jolla Drive, San Diego, CA

September 18th: Day 2: 8:30am – 12:30pm Presentations & Meetings
Location: La Jolla Mariott 4240 La Jolla Drive, San Diego, CA

Highlights

Opening Keynote:
Qualcomm EVP, Engineering & CTO Jim Thompson

The Internet of Things – Challenges and Opportunities:
Qualcomm Technologies SVP & GM, IoT Jeff Lorbeck

Industry 4.0/5G and Smart Cities:
Qualcomm Technologies VP, Business Development Jeffery Torrance

Qualcomm Smart Cities Accelerator Program:
Qualcomm Technologies Sr. Director, Business Development, Head of Smart Cities Sanjeet Pandit
Industry Panel:
Smart Cities Deployments: Experiences and Learnings

Industry Panel:
5G/Industry 4.0/Auto: Future Smart Spaces

City Panel:
Use Cases

Speakers

Joseph Soriaga
Joseph Soriaga

Sr. Director, Technology, Qualcomm Technologies, Inc.

Dr. Joseph Soriaga is a Senior Director of Technology, and lead of the systems team for Qualcomm AI Research at Qualcomm Corporate R&D. The team is broadly responsible for driving hardware and software platform innovations, advancing applications in areas such as multimedia and wireless, and contributing to fundamental research in machine learning. Prior to this role, he led 5G core physical layer research team within Qualcomm Wireless R&D and helped drive the standardization of 5G as a both a 3GPP RAN1 delegate and a technical specifications editor of TS 38.202. He has also had previous experience as systems team lead for Qualcomm’s 3G EV-DO commercial cell-site modem (CSM). He received his BSEE from Caltech, and PhD ECE from UCSD with focus on coding theory, communications, and information theory. He was awarded IEEE Data Storage Best Paper in 2007 and the EURASIP Journal on Wireless Communications and Networking Best Paper in 2012, and he has been granted over 280 US Patents.

Joseph Soriaga
Joseph Soriaga

Sr. Director, Technology, Qualcomm Technologies, Inc.

Dr. Joseph Soriaga is a Senior Director of Technology, and lead of the systems team for Qualcomm AI Research at Qualcomm Corporate R&D. The team is broadly responsible for driving hardware and software platform innovations, advancing applications in areas such as multimedia and wireless, and contributing to fundamental research in machine learning. Prior to this role, he led 5G core physical layer research team within Qualcomm Wireless R&D and helped drive the standardization of 5G as a both a 3GPP RAN1 delegate and a technical specifications editor of TS 38.202. He has also had previous experience as systems team lead for Qualcomm’s 3G EV-DO commercial cell-site modem (CSM). He received his BSEE from Caltech, and PhD ECE from UCSD with focus on coding theory, communications, and information theory. He was awarded IEEE Data Storage Best Paper in 2007 and the EURASIP Journal on Wireless Communications and Networking Best Paper in 2012, and he has been granted over 280 US Patents.


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