AI firsts: Leading from research to proof-of-concepts

Tuesday, March 15, 2022 | 9:00 AM PDT

AI firsts: Leading from research to proof-of-concepts

AI has made tremendous progress over the past decade, with many advancements coming from fundamental research from many decades ago. Accelerating the pipeline from research to commercialization has been daunting since scaling technologies in the real world faces many challenges beyond the theoretical work done in the lab. Qualcomm AI Research has taken on the task of not only generating novel AI research but also being first to demonstrate proof-of-concepts on commercial devices, enabling technology to scale in the real world. In this webinar, we’ll discuss:
  • The challenges of deploying cutting-edge research on real-world mobile devices
  • How we are solving system and feasibility challenges with full-stack optimizations to quickly move from research to commercialization
  • Examples where Qualcomm AI Research has had industrial or academic firsts

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

Jilei Hou
Jilei Hou

VP, Engineering

Dr. Jilei Hou is a Vice President of Engineering at Qualcomm Technologies, Inc. (QTI) and the Head of Qualcomm AI Research initiative at Qualcomm Research, a division of QTI. Jilei obtained his Ph.D. from University of California, San Diego and joined Qualcomm in 2003. He made substantial contributions in technology innovation, standardization, and product commercialization across wireless 3G/4G/5G standards. In 2011, he moved to Beijing and became the Head of Qualcomm Research China. In this role, he developed the China R&D team into a local research powerhouse, which initiated 5G research and ground robotics programs that benefit Qualcomm business interests in the Greater China region. In 2017, he moved back to San Diego and currently leads the AI Research Program at Qualcomm Research. He is responsible for building the machine learning research infrastructure, driving technical innovations for next-gen hardware and software platforms, and leading forward looking research to benefit technology verticals. He is an IEEE Senior Member and participated in several Frontiers of Engineering (FOE) Symposia organized by US and/or China National Academies of Engineering.

Jilei Hou
Jilei Hou

VP, Engineering

Dr. Jilei Hou is a Vice President of Engineering at Qualcomm Technologies, Inc. (QTI) and the Head of Qualcomm AI Research initiative at Qualcomm Research, a division of QTI. Jilei obtained his Ph.D. from University of California, San Diego and joined Qualcomm in 2003. He made substantial contributions in technology innovation, standardization, and product commercialization across wireless 3G/4G/5G standards. In 2011, he moved to Beijing and became the Head of Qualcomm Research China. In this role, he developed the China R&D team into a local research powerhouse, which initiated 5G research and ground robotics programs that benefit Qualcomm business interests in the Greater China region. In 2017, he moved back to San Diego and currently leads the AI Research Program at Qualcomm Research. He is responsible for building the machine learning research infrastructure, driving technical innovations for next-gen hardware and software platforms, and leading forward looking research to benefit technology verticals. He is an IEEE Senior Member and participated in several Frontiers of Engineering (FOE) Symposia organized by US and/or China National Academies of Engineering.


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