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Innatera Showcases Pulsar at MWC Shanghai

by | Jun 24, 2026

Demonstration includes AI audio module for on-device sensing, audio processing and intelligent device applications
Image: Innatera

SHANGHAI, China, June 24, 2026 – Innatera’s Pulsar neuromorphic microcontroller will be demonstrated at MWC Shanghai 2026 (Booth N3.F40) in Shanghai, China, with the Joya EdgeCore AI Audio Module powered by Pulsar.

The demonstrations focus on Physical AI applications for intelligent devices, smart spaces, AI wearables, robotics, and on-device intelligence. Innatera is positioning Pulsar for low-power AI systems that sense and process physical-world signals on-device. The Joya EdgeCore AI Audio Module was developed by Joya Design and uses Innatera’s Pulsar neuromorphic microcontroller.

The module supports the Baby Cry Translator, described as the end-side AI, multimodal, lightweight audio solution designed to address the challenge of understanding infant cries. The system provides a closed-loop process from cry collection, recognition, and translation to actionable suggestions, with the goal of supporting parenting decisions.

“Across China, we are seeing a clear shift from connected products to truly intelligent products,” says Liao Ke, chairman of Joya Design. “Manufacturers are looking for solutions that can deliver responsive, context-aware experiences within strict power constraints. Innatera’s neuromorphic approach opens up exciting new possibilities for the next generation of smart devices.”

Pulsar enables low-power AI for applications including audio intelligence, presence detection, gesture recognition, and contextual sensing. Innatera also supports application development through Talamo SDK, its software development kit for building, and deploying neuromorphic AI applications.

“China is one of the most important markets in the world for the future of intelligent sensing,” says Shreyas Derashri, chief commercial officer at Innatera. “The speed at which companies here are moving from AI concepts to real products is remarkable, and it creates a major opportunity for a new class of compute. We are not here to talk about distant possibilities. We are here with commercially available technology, customer collaborations, and a clear ambition to help companies build the next generation of intelligent products.”

About MWC Shanghai 2026

MWC Shanghai 2026 is a trade show and conference focused on mobile communications, connectivity, AI, cloud computing, IoT and digital infrastructure. The event is organized by GSMA, a mobile industry association founded in 1995 and based in London. MWC Shanghai 2026 takes place at the Shanghai New International Expo Centre in Shanghai. The event includes exhibitions, conference sessions, product demonstrations, networking activities and industry discussions. It serves mobile operators, equipment vendors, software companies, device makers, startups, investors, regulators and enterprise technology users. Its topics include 5G, 5G Advanced, AI, cloud services, industrial digitalization and communication technologies. The event serves telecommunications, manufacturing, automotive, health care, finance and transportation organizations. GSMA represents more than 1,000 mobile operators and related businesses worldwide.

About Innatera

Innatera develops neuromorphic processors designed to run AI on edge devices. The company builds neuromorphic microcontrollers that process sensor data using spiking neural network architectures. These products support real-time data processing while reducing power consumption and dependence on cloud computing. Innatera serves original equipment manufacturers and developers across automotive, industrial systems, wearables, smart home devices, and IoT applications. The company was founded in 2018 as a spin-off from Delft University of Technology. Innatera is headquartered in Rijswijk, Netherlands. It focuses on R&D, and integration of neuromorphic hardware for commercial products. Its technology targets use cases requiring low latency, continuous sensing, and efficient on-device intelligence. Applications include pattern recognition, event detection, and condition monitoring in embedded systems.