Integrating Senses: How AI is Learning to See, Hear, and Interact

Tuesday, September 24, 2024 at 9am PT

Join us for this AI webinar where we delve into the cutting-edge realm of multimodal large language models. From this webinar you will understand the significance, challenges, and state-of-the-art solutions associated with developing AI systems that can seamlessly integrate visual, auditory, and textual data in real time.
Topics include:

  • Enhancing human-AI interaction at the edge: Learn about live, camera-based instruction, a new emerging use-case for AI at the edge.
  • How real-time instruction can benefit from end-to-end training through multi-modal streaming models.
  • Fitness coaching as a challenging testbed application, where AI models need to provide real-time, context-aware feedback by recognizing and responding to complex human actions.
  • Improving visual grounding: explore how training multi-modal models on low-level tasks like object detection and tracking can improve their ability to perform high-level reasoning over videos, leading to groundbreaking performance in visual reasoning tasks.


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

Roland Memisevic
Roland Memisevic

Senior Director of Engineering at Qualcomm Canada ULC
Roland Memisevic is senior director of engineering at Qualcomm Canada ULC. He joined Qualcomm in 2021 after the acquisition of TwentyBN, an AI startup that he founded in 2015. Roland received a PhD in Computer Science from the University of Toronto in 2008 doing research on neural networks. He continued his work as a post-doc at the University of Toronto and at ETH Zurich and has been on faculty at the University of Frankfurt and at the MILA institute at the University of Montreal. Roland’s research interests are in end-to-end learning and the emergence of human-like common sense in neural networks.

Abhijit Khobare
Abhijit Khobare

Director of Software Engineering
Roland Memisevic is senior director of engineering at Qualcomm Canada ULC. He joined Qualcomm in 2021 after the acquisition of TwentyBN, an AI startup that he founded in 2015. Roland received a PhD in Computer Science from the University of Toronto in 2008 doing research on neural networks. He continued his work as a post-doc at the University of Toronto and at ETH Zurich and has been on faculty at the University of Frankfurt and at the MILA institute at the University of Montreal. Roland’s research interests are in end-to-end learning and the emergence of human-like common sense in neural networks.




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