Vision and conversational AI technologies are becoming ubiquitous, with countless applications taking advantage of object detection, image segmentation, action recognition, OCR, automatic speech recognition, natural language understanding, and speech synthesis coming to market. This webinar will present tools and technologies making the development of AI applications easier than ever.
We will start with an overview of the conversational AI landscape, and how you can build and deploy accelerated applications with state-of-the-art models using RIVA and NeMo. Then we will present DeepStream, a complete streaming analytics toolkit for AI-based multi-sensor processing, video, audio and image understanding. Finally, we will also introduce the TAO toolkit and pre-trained models giving you a faster, easier way to accelerate training and quickly create highly accurate and performant, domain-specific AI models.
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After a PhD in Applied Mathematics at the University of Namur (Belgium), Dr. Johan Barthélemy joined the SMART Infrastructure Facility of the University of Wollongong (Australia) where he was a Lecturer and the head of the Digital Living Lab researching and developing AIoT solutions focusing on the development new applications of AI and embedded IVA for smart cities and environmental monitoring. Being passionate about applied AI and how to accelerate it with GPUs, he is now a Developer Relation Manager at NVIDIA, helping developers and scientists in their journey to build the next generation of AI-based solution, with a particular focus on Conversational AI.
Guang Hui is a Developer Relation Manager at NVIDIA Asia Pacific South Region focus on Vision AI. He works with partners and customers closely from various industry verticals for application development, enhancement, and optimization with hardware acceleration. He has over 8 years of experience in Intelligent Video Analytics and Edge computing, where he is focusing on solution architecting and IVA engagements covering Asia Pacific regions. He holds a bachelor’s degree in Electronic Engineering and currently a master’s degree in Software Engineering.
A large part of Ben's career revolves around the startups ecosystem; he has worked in startups (seed and series D), he was a startup founder, he was in VC, and was also in corporate innovation, where he helps connect corporates to startups and build new business ventures. Ben love being in the startups scene, finding out how startups are coming up with solutions to solve pain points. Ben holds an MBA from IE Business School (Spain) and is based in Singapore, leading NVIDIA Inception efforts to develop the startups & VC ecosystem across SEA and ANZ.
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Date & Time: Wednesday, April 22, 2018