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AI‑Enabled Wireless Chip For IoT Devices

What if one chip could handle AI, Wi-Fi 7, sensing, and device control? A new edge solution aims to simplify connected device design.

SYN765x AI-Native Connected Compute SoC
SYN765x AI-Native Connected Compute SoC

Synaptics Incorporated has introduced the SYN765x, a wireless chip that combines AI compute and connectivity for edge devices. The device integrates AI processing with Wi-Fi 7 and targets smart appliances, home automation systems, and industrial IoT equipment.

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The chip integrates Wi-Fi 7, Bluetooth Low Energy 6.0, and support for Thread and Zigbee. It operates across the 2.4 GHz, 5 GHz, and 6 GHz bands. On-chip acceleration handles AI control and signal-processing tasks and reduces the load on a host processor.

The SYN765x combines connectivity and compute in one chip. This integration can reduce board space and simplify system design. It can also lower system cost.

Support for Wi-Fi 7 enables reconnections, band switching, and access to the 6 GHz spectrum. Power and cost limits have slowed the use of newer Wi-Fi standards in embedded systems. Integrating these functions into one chip can support wider use in IoT devices.

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The device also supports wireless sensing functions. Using Wi-Fi and Bluetooth signals, it can enable presence detection, motion tracking, and proximity awareness. For Wi-Fi sensing, the chip extracts Channel State Information and processes it with on-device machine learning to detect environmental changes.

The platform supports Bluetooth Channel Sounding for distance measurement between devices. This method can provide an alternative to technologies such as mmWave radar or ultra-wideband in some applications.

The chip includes logic, DSP resources, and a neural processing unit to run edge AI workloads. It can operate with a host processor or microcontroller, or run in a standalone configuration using on-chip memory and processing resources. In some designs, this removes the need for a separate microcontroller and reduces system complexity.

“Intelligence at the Edge demands uncompromising wireless performance,” said Vikram Gupta, SVP & GM, Edge Compute & Connectivity Division, Synaptics. “SYN765x extends our leadership in wireless technology by integrating Wi-Fi 7, BLE, Thread/Zigbee with AI-native processing. This simplifies system design, lowers power and cost barriers, and accelerates adoption of next-generation wireless across consumer, industrial, and enterprise IoT markets.”

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Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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