Our Events

Are you working with engineering or scientific data? Trying to develop an algorithm or model, create a report, or just gain some insights? Join us for this session where we will show how to use the high-level MATLAB language and interactive tools to solve an example problem.

Have you ever wondered what you would be able to perform in a digital environment that can offer a simulated and representative environment to? In this presentation, you will learn how MathWorks solutions can support your digital transformation and enable various ways of collaboration.

In this talk, you will learn about how MATLAB and Simulink can be used for early ASIC design through pre-verified, hardware-ready reference applications for different wireless communication applications, reuse of algorithm models in production verification environments and FPGA based debugging workflows.

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 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.

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 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.

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.