AI
With decades of expertise at the interface between the physical and the digital, ADI is looking for the next generation of AI, robotics, and embedded software experts. Join us to transform industries from energy and transportation to wearables, healthcare, and more!
Learn about our teamWhere AI Gets Real
Artificial intelligence is moving beyond digital outputs—it’s entering the physical world. The next frontier is physical intelligence: mastering how systems perceive, interpret, and act in real time. It demands more than just algorithms. It demands precision engineering and a high fidelity bridge between the physical and digital worlds, built on application-specific models to optimize performance. From sensing and interpreting to decision-making and action, ADI delivers physical intelligence solutions that perform in the most demanding environments, enabling autonomous factories, intelligent robotics, next-generation vehicles, and predictive healthcare systems.
Featured Highlights
Discover the latest releases, standout content, and insights making an impact across the industry.
Learn how Analog Devices, Synopsys, and NVIDIA are demonstrating robotics cable management benchmarks for data center applications at NVIDIA GTC.
See how ADI used machine learning to boost speed and scale, realistic AI training for robotics.
How do you run AI on tiny, low-power devices? You prune the models. See how the ADI team used compression and optimization to shrink an audio AI model without losing accuracy or speed.
Employee Spotlight
Giulia Vilone
Giulia is a research-driven AI specialist with over 15 years of cross-disciplinary experience spanning artificial intelligence, data science, statistics, and actuarial sciences. She holds a PhD in Artificial Intelligence from Technological University Dublin, where she focused on Explainable AI (XAI) and Argumentation. At ADI, she’s developing Visual-Language-Action models for robotics with a focus on visual and depth perception integration, natural language understanding, and action planning. The goal is to bridge the gap between language and action in real-world robotic applications, especially in manufacturing environments.
Join our team and build the future of physical intelligence