Pushing the Boundaries of AI Research

Wednesday September 02, 2020  | 09:00 am PDT


Artificial Intelligence (AI) is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, this is just the start of the AI revolution. The field of AI, especially deep learning, is still in its infancy with tremendous opportunity for exploration and improvement. For instance, deep neural networks of today are rapidly growing in size and use too much memory, compute, and energy. To make AI truly ubiquitous, it needs to run on the end device within a tight power and thermal budget. New approaches and fundamental research in AI, as well as applying that research, is required to advance machine learning further and speed up adoption. In this webinar, we’ll discuss select research topics that Qualcomm AI Research is investigating, including:

  • AI model optimization research for power efficiency, including our latest quantization research

  • Applied AI research, such as using deep learning for improved radar functionality

  • Fundamental AI research, such as source compression and quantum AI


Speaker: Professor Dr. Max Welling

VP Technology, Qualcomm Technologies Netherlands B.V.

Professor Dr. Max Welling Professor Dr. Max Welling is a research chair in Machine Learning at the University of Amsterdam and a VP Technologies at Qualcomm Technologies Netherlands B.V. He has a secondary appointment as a senior fellow at the Canadian Institute for Advanced Research (CIFAR). He is co-founder of “Scyfer BV” a university spin-off in deep learning, which was acquired by Qualcomm in the summer of 2017. In the past, he held postdoctoral positions at Caltech (’98-’00), UCL (’00-’01), and the U. Toronto (’01-’03). He received his PhD in 1998 under supervision of Nobel laureate Prof. G. 't Hooft. Max has served as associate editor in chief of IEEE TPAMI from 2011-2015 (impact factor 4.8). He serves on the board of the NIPS foundation since 2015 (the largest conference in machine learning) and has been program chair and general chair of NIPS in 2013 and 2014, respectively. He was also program chair of AISTATS in 2009 and ECCV in 2016 and general chair of MIDL 2018. He has served on the editorial boards of JMLR and JML and was an associate editor for Neurocomputing, JCGS, and TPAMI. He received multiple grants from Google, Facebook, Yahoo, NSF, NIH, NWO, and ONR-MURI among which an NSF career grant in 2005. He is recipient of the ECCV Koenderink Prize in 2010. Max is on the board of the Data Science Research Center in Amsterdam, directs the Amsterdam Machine Learning Lab (AMLAB), and co-directs the Qualcomm-UvA deep learning lab (QUVA) and the Bosch-UvA Deep Learning lab (DELTA). Max has over 200 scientific publications in machine learning, computer vision, statistics, and physics.

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

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