Sự Kiện

In this webinar, you will see the workflow of artificial intelligence that can be implement in the industry. The workflow spans from data preparation to the deployment of the algorithm in real life application.

Explore how Robotics & Autonomous Systems are transforming engineering & science. Gain knowledge on how to develop robotics & autonomous applications from perception to motion and optimize system-level behavior and Discover the new trends on Robotics Programming, Mobile Robots, UAV, Sensor Fusion, Smart Factories, Autonomous Systems, and more!

In this session, we will introduce ideas on how to use reinforcement learning for practical control design with MATLAB and Reinforcement Learning Toolbox. We will cover some of the latest features available in the tool and we will also introduce a complete workflow for the design, code generation, and deployment of the reinforcement learning controller.

Attend this session if you are developing or researching autonomous UAV and are interested in how scenario simulations can help evaluate your autonomous flight algorithms.

In this session you will learn the basics of simulating physical systems in Simscape. The physical network approach in Simscape enables you to model physical systems by simply assembling a schematic of physical components.

Join us in this panel discussion where leaders who work with startups, researchers, corporations, startups themselves and policymakers working towards climate action discuss the role of innovation in tackling climate change.

In this session we will show how you can bring your digital health applications from MATLAB to the cloud, starting from web applications for internal use to professional and scalable enterprise platforms.

In this webinar, you will learn how to empower your robots using deep learning and reinforcement learning for perception and motion control in autonomous robotics applications including robot manipulators, autonomous mobile robots, and UAVs using MATLAB.

Deep learning and machine learning techniques can be applied to a range of radar and wireless applications to meet the increased level of system requirements of operating in a crowded RF spectrum.