Synaptics presents edge AI platforms at Embedded World 2026

Embedded devices increasingly process sensor data locally instead of relying solely on cloud infrastructure, requiring coordinated compute and wireless subsystems. At Embedded World 2026 (March 10–12, Nuremberg, Hall 4A, Booth 259), Synaptics Incorporated will present embedded processors and connectivity solutions aimed at scalable edge AI deployments.

Local intelligence moves into connected devices
The demonstrations address industrial automation, robotics, consumer electronics, enterprise systems and automotive electronics, where latency and reliability constraints limit cloud-only processing. Running inference at the device level reduces network traffic and supports faster reactions in control loops and human-machine interfaces within an IoT architecture.

Synaptics will present additions to its Astra™ AI-native embedded processor portfolio, including new MCU families designed for power- and cost-sensitive edge nodes. The processors target multimodal sensing tasks such as combining vision, motion and environmental inputs into a unified decision pipeline.

Real-time inference and sensor fusion examples will include smart-home automation, industrial fleet monitoring and vehicle subsystems, demonstrating contextual awareness based on multiple data sources rather than single-sensor triggers.

Robotics and physical interaction
A robotics demonstration will show how compute, sensing and connectivity operate together in physical AI systems. By coordinating perception and control locally, the platform supports motion decisions without constant cloud communication, a requirement in mobile robotics operating in dynamic environments.

Combining processing and wireless transport
Synaptics will also introduce a wireless solution integrating embedded processing with high-performance connectivity. The design targets applications where AI workloads and data transmission must operate concurrently, such as distributed sensing networks and connected machines in a digital supply chain.

Across the demonstrations, the focus is on treating compute, sensing and networking as a unified embedded system rather than separate components, enabling predictable performance in latency-sensitive edge deployments.

www.synaptics.com