Pushing the boundaries of AI research at Qualcomm

 Pushing the boundaries of AI research at Qualcomm - Max Welling (University of Amsterdam & Qualcomm)



Dynamic: Artificial Intelligence (AI) is reforming enterprises, items, and center capacities by conveying significantly improved encounters. Be that as it may, this is only the beginning of the AI unrest. The field of AI, particularly profound learning, is as yet in its outset with enormous open door for investigation and improvement. For example, profound neural organizations of today are quickly filling in size and use an excess of memory, register, and energy. To make AI really universal, it needs to run on the end gadget inside a tight force and warm financial plan. New methodologies and essential examination in AI, just as applying that exploration, is needed to propel AI further and accelerate reception. In this discussion, I'll talk about select examination subjects that Qualcomm AI Research is exploring, including: 

- AI model enhancement research for power proficiency, including our most recent quantization research 

- Applied AI research, for example, utilizing profound learning for improved radar usefulness 

- Fundamental AI research, for example, source pressure and quantum AI 

About the Speaker: Prof. Dr. Max Welling is an examination seat in Machine Learning at the University of Amsterdam and a VP Technologies at Qualcomm. He has an auxiliary arrangement as an individual at the Canadian Institute for Advanced Research (CIFAR). Max Welling has filled in as partner supervisor in head of IEEE TPAMI from 2011-2015. He serves on the leading body of the Neurips establishment since 2015 and has been program seat and general seat of Neurips in 2013 and 2014 individually. He was additionally program seat of AISTATS in 2009 and ECCV in 2016 and general seat of MIDL 2018. He is an establishing board individual from ELLIS. Max Welling is beneficiary of the ECCV Koenderink Prize in 2010. He coordinates the Amsterdam Machine Learning Lab (AMLAB), and co-coordinates the Qualcomm-UvA profound learning lab (QUVA) and the Bosch-UvA Deep Learning lab (DELTA). He has more than 300 distributions in AI and a h-list of 66.

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