Capitalize on AI at the Edge

GTC Workshops and Conference | October 5-9, 2020

Artificial intelligence (AI) is empowering various industries to greatly improve the quality and efficiency of critical applications and turn volumes of data into valuable business action. Among AI applications, computer vision is one of most popular applications for detecting obstacles, performing image segmentation, or extracting relevant context from a given scene. Similarly, video analysis allows for deeper situational understanding because sequences of images can provide new information about actions.

Propel Your Business Forward by signing up for ADLINK’s on-demand sessions at NVIDIA GPU Technology Conference (GTC) taking place online October 5 - 9, 2020.

  • Hear from ADLINK experts about emerging AI applications at the edge
  • Gain insights about key requirements for edge AI systems
  • Learn how to accelerate your edge AI system development


Sign Up: ADLINK On-Demand Sessions

You will be able to book your spot for ADLINK’s on-demand sessions AFTER you register for the NVIDIA GTC. With the purchase of digital pack, you can join live and on-demand sessions across all GTC regions. Get a special additional money off using discount code NVESEYMOUR


AI Drives the Rail Digital Transformation

With AI technologies being widely adopted in the railway industry to power next-generation intelligent rail applications, the AI-driven digital transformation is making railway operations safer, smarter and more reliable, significantly enhancing the passenger travel experience and freight logistics services. This session will introduce the status of AI adoption in the rail industry, typical AI-enabled applications, GPU-based AI solutions, and select use cases.


How to build AI application for the Edge 

AI applications are gaining traction at the edge, promising performance, production, and efficiency gains for all walks of life. To ensure the successful implementation of AI applications at the edge, developers face a myriad of difficult choices from hardware, AI network, and framework options that may differ from application to application.  In this session, ADLINK will address key considerations to developing a fully-fledged AI applications at the edge citing various industrial use cases and share tips to optimize AI implementation from day zero to post-deployment upgrade.


Jetson with Open Robotics ROS 2 is leading the next wave

Robotics manufacturers can reduce their development effort and cost with ADLINK’s Robot Operating System (ROS) 2 Robotics solutions, combined with open-source software, like Open Robotics and Eclipse Cyclone DDS ROS middleware. Attend the webinar to learn how tool and module portfolios, and a ROS-compatible environment make it easy to develop applications across multiple hardware platforms, software packages, and service types.


Transforming the Rail Industry with Edge AI
Christian Marez
Senior BDM Europe Railways & Transportation
How to build AI application for the Edge
Olivia Chan
Senior Product Manager at ADLINK
Jetson with Open Robotics ROS 2 is leading the next wave
Joe Speed

Resource Library

  • ADLINK GPU Solutions: ADLINK embedded GPU-based solutions for edge AI Learn More


  • AI-driven applications in rail transportation: Rugged AIoT-enabled graphics/ video processing platform Learn More


  • Robot Operating System (ROS) 2 Solution: ROS 2 solutions for autonomous mobile robots (AMRs) Learn More
  • Accelerating the Development of Smart Medical Robots: How smart medical robots can help hospitals improve efficiencyDownload

Need Helps?

Should you have any questions related to our products and services, feel free to contact your local ADLINK representative or click Ask an Expert. We will contact you shortly upon your request.