A brain designed with a circuit board pattern, symbolizing the fusion of technology and human intelligence.

High-Performance Analog Meets AI with ADI and MathWorks®︎

As the embedded systems community prepares to gather at embedded world 2025 in Germany, we are thrilled to spotlight the communities and companies with which we have collaborated to create incredible solutions.

Connecting with the developer community is a key focus for MathWorks, so they’ll be in an embedded world. As the leading developer of mathematical computing software, engineers and scientists worldwide rely on its products to accelerate the pace of discovery, innovation, and development.

 The MathWorks team looks forward to meeting you, either in their booth (Hall 4: Stand 110), or at one of their technical sessions during the week. New this year, you can also find MathWorks technology in the ADI booth (Hall 4A: Stand 360), so be sure to stop by to learn how combining MATLAB® with ADI’s high-performance analog and RF components can help to solve your embedded design challenges!

Save the Date | embedded world: 11-13 March

  • Location: Nuremberg, Germany
  • MathWorks: Hall 4: Stand 110
  • ADI: Hall 4A: Stand 360

High-Performance Analog Meets AI

Why are Analog Devices and MathWorks talking about AI? Get all the details in the Analog Devices (Hall 4A: Stand 360) demo, where we’ve teamed up with MathWorks to explore the intersection of high-performance analog technology and artificial intelligence, revealing how these two fields are coming together to solve real-world problems.

In this demo, we’ll use AI techniques to create an intelligent wireless receiver, leveraging ADI's high-data-rate analog and RF signal chains, and ADI's data extraction framework built on top of open-source software, and FPGA infrastructures. This will ultimately lead to deployment on an industrial-grade, edge AI platform.

 Signal chain is comprised of ADI’s wideband transceivers feeding into a modulation classification model, built in MATLAB, and then deployed to the Nvidia IGX Orin platform using automatic code generation from MathWorks.


As shown above, the signal chain is comprised of ADI’s wideband transceivers feeding into a modulation classification model built in MATLAB, which is then deployed to the Nvidia IGX Orin platform using automatic code generation from MathWorks.

Let's Meet at embedded world

Stop by the MathWorks booth at Hall 4: Stand 110 to meet the team and learn more about AI and embedded solutions from MathWorks. From expert insights that shape the future of embedded systems to exploring the latest trends and technologies, both MathWorks and ADI (Hall 4A: Stand 360) can’t wait to connect with you at Embedded World.