Where Processing, Sensing, and Connectivity Converge—Now Smarter, Faster, and More Powerful
Featuring 50+ educational sessions and in-depth workshops delivered by 100+ of the brightest minds in sensor engineering.
Join us at Sensors Converge 2026, where innovators in sensing, processing, and connectivity unite to design smarter, build faster, and power what’s next. This is your opportunity to tackle real-world design challenges, gain cutting-edge insights, and ignite innovation across the electronics ecosystem. mConnect directly with like-minded professionals, discover best practices from industry leaders, and find the exact products and partners to accelerate your projects.
This year’s program is packed with dynamic experiences tailored for technical professionals, including leaders’ roundtables, lightning talks, interactive panels, and hands-on workshops. Under the theme “Design Smarter, Build Faster, Power What’s Next,” Sensors Converge 2026 explores the technologies and trends shaping the future of intelligent sensing, next-generation sensor technologies, energy harvesting, edge AI, IoT connectivity, and autonomous systems.
Don’t miss this unparalleled opportunity to learn, collaborate, and design the future of smarter, faster, and more connected systems!
Focused education across new conference tracks:
Sensors + AI
AI is now embedded across countless applications, but every intelligent system still begins with the sensor. This track explores how sensor technologies—current and emerging—enable AI by shaping the quality, fidelity, and context of the data itself. Sessions examine sensor selection, sensor fusion, and where intelligence belongs, from on-sensor processing to system-level AI architectures.
MCU & Sensor Architectures for AI/ML
Choosing the right compute architecture is critical to AI-enabled sensing—and there is no one-size-fits-all solution. This track examines the tradeoffs among MCUs, application processors, and on-sensor intelligence, helping designers match architectures to real-world workloads. Sessions focus on performance, power, scalability, and cost considerations that drive successful AI/ML system design.
Connectivity & System-Level Design
A well-designed sensor is only as effective as the system it operates within. This track focuses on the challenges of integrating sensors into complete systems, from hardware interfaces and firmware to data pipelines and cloud connectivity. Attendees will gain practical insight into design decisions that impact reliability, scalability, security, and overall system performance.
Automotive & Transportation Sensing
Modern vehicles are rapidly becoming complex sensor platforms, generating vast amounts of data that must be processed and acted upon in real time. This track explores the critical role sensors play in automotive and transportation systems, including ADAS, autonomous driving, in-cabin monitoring, and connected mobility. Sessions address performance, safety, reliability, and regulatory considerations shaping next-generation vehicles.
Medical & Healthcare Sensing
Advances in sensor technology are transforming healthcare, enabling earlier detection, continuous monitoring, and more personalized care. This track examines sensors used in medical devices, wearables, and clinical systems, with a focus on performance, reliability, biocompatibility, and regulatory constraints. Attendees will learn how to evaluate emerging technologies and integrate them effectively into healthcare applications.
Power Management & Efficiency
In battery-powered, wearable, and remote applications, power efficiency is often the defining design constraint. This track explores low-power sensor technologies, power management techniques, and system-level strategies for extending operational life. Sessions cover everything from energy-efficient components to harvesting, storage, and architectural approaches that push power consumption even lower.