From creating AI models to building a real-time seamless video analytics pipeline, developers need powerful tools to simplify their workflows while achieving high performance and highly accurate results.
The GPU Technology Conference, Oct. 5-9, will feature NVIDIA technologies that help developers overcome all these challenges.
Here are some top technical sessions that will help developers understand NVIDIA tools to train, build and deploy AI-based video analytics applications.
Accelerating Vision AI Applications Using NVIDIA Transfer Learning Toolkit and Pre-Trained Models [A21333] : Chintan Shah, senior product manager at NVIDIA, will walk through how to build high-performance vision AI models quicker and easier using NVIDIA Transfer Learning Toolkit and pre-trained models. The U.S. session is on Oct. 6 at 7 a.m. PT and the APAC session is on Oct. 8 at 3 p.m. KST.
Implementing Real-Time Vision AI Apps Using NVIDIA DeepStream SDK [A21337]: Amulya Vishwanath, product marketing lead at NVIDIA, will present the latest capabilities of the NVIDIA DeepStream SDK and demonstrate the reference apps using DeepStream SDK, Transfer Learning Toolkit and vision AI pre-trained models. The session is on Oct 6 at 9 a.m. PT.
Connect with the Experts: Transfer Learning Toolkit and DeepStream SDK for Vision AI/ Intelligent Video Analytics [CWEA001]: Schedule a one-on-one session with NVIDIA subject-matter experts to get your questions answered about NVIDIA DeepStream and Transfer Learning Toolkit. The session is on Oct. 6 from 2-3 p.m. PT. Seats are limited, so sign up today.
Here are some featured sessions that discuss how the NVIDIA Metropolis platform helps create value across a broad range of industries and use cases.
Building the AI City with NVIDIA Metropolis [A21335]: Adam Scraba, director of product marketing for Metropolis, will present how AI and the Metropolis intelligent video analytics platform is solving important problems across a range of industries. The session will cover the NVIDIA computing platform, solutions and ecosystem partners, along with specific examples of how AI is creating incredible value. The U.S. session is on Oct. 8 at 8 a.m. PT and the APAC session is on Oct. 7 at 10 a.m. CST.
Create, Deploy and Scale Intelligent Video Analytics with NVIDIA Metropolis [A22217]: Anthony Laskovski, developer relationship manager at NVIDIA, will present how the NVIDIA Metropolis platform helps businesses create, deploy and scale AI and IoT applications, with cutting-edge technology and an extensive developer ecosystem. Also, Michael Liou, vice president of Strategy and Growth at NVIDIA Inception startup Chooch.ai, will share his company’s success story of deploying on Metropolis. The session is on Oct. 7 at 8 a.m. PT.
Driving Intelligence from Video at Scale Using AI in ArcGIS by Esri [A21370]: David Yu, data scientist from Esri, will present how his company uses the NVIDIA DeepStream SDK to develop AI-powered video analytics solutions that help cities to save cost by understanding and visualizing city data.
Improve Patient Care with Everyday Sensors and Multimodal AI [A21257] AI-enabled smart sensors cameras and microphones can act as eyes and ears that ensure public safety, improve patient care and enhance operational efficiency in healthcare facilities. Raghav Mani, product and developer relations manager at NVIDIA, will discuss how to use NVIDIA Clara Guardian to develop and deploy smart sensors with multimodal to monitor patients and improve their care. The session is on Oct. 6 at 12 p.m. PT.
Edge AI for Production and Packaging Lines [A22252]: Artemy Malkov, CEO, Data Monsters, will discuss how to use real-time computer vision and NVIDIA EGX with Metropolis platform on high-speed production and packaging lines to detect complex defects, measure dimensions, and control the process
View more of the session and register for them here.
*image credit: VIVACITY