What's next in on-device generative AI

On-demand

The generative AI era has begun. Upcoming trends in generative AI and transformers, from large multimodal models to transformers extending to more modalities, are set to revolutionize user experiences, disrupt industries, and offer new capabilities. For generative AI to reach its full potential, bringing these capabilities to edge devices where they run locally is essential for improved latency, pervasive interaction, and enhanced privacy. This presentation will explore how Qualcomm's end-to-end system philosophy is at the forefront of enabling this next wave of innovation on the edge, including:

  • Efficiency techniques to bring LLMs, LVMs, and LMMs on device
  • Utilization of heterogeneous computing
  • Adaptation and personalization techniques
  • LLM orchestration at the edge

Resources

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

Dr. Joseph Soriaga

Senior Director of Technology
Dr. Joseph Soriaga is a Senior Director of Technology and leads the core team within Qualcomm AI Research that is broadly responsible for driving hardware and software platform innovations, advancing applications in areas such as mobile, automotive, XR and wireless, and contributing to fundamental research in machine learning and generative AI. 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. He has also had previous experience as systems engineering 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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