Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this webinar you’ll learn about:
Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc.
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
Senior Director of Technology, Qualcomm AI Research
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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Email: [email protected]