Syntiant Corp., a leader in low-power edge AI, will present its session on real-time sensor AI during the Avnet Technology Showcase on September 9 in Minneapolis. The session, titled “Advanced Signal Processing: Leveraging NPUs for Real-Time Sensor Data,” will highlight the company’s Neural Decision Processors (NDPs) and their role in edge AI innovation.

The Avnet Technology Showcase is a free, full-day event. It offers more than 20 technical training courses, a supplier trade show with over 50 exhibitors, and networking opportunities for engineers and supply chain leaders.

Bringing Sensor AI to the Edge

Syntiant’s presentation, scheduled from 9 to 10 a.m., will demonstrate how to integrate real-time sensor AI at the edge. The workshop will walk participants through a full machine learning pipeline. This includes data acquisition, signal conditioning, model training, optimization, and deployment on edge hardware.

Using Syntiant’s NDPs alongside Edge Impulse tools, the session will also cover real-time signal processing across multiple inputs such as audio and motion. These insights will help enable faster, smarter decisions in applications like wearables, IoT, smart homes, and industrial solutions.

Kurt Busch, CEO of Syntiant, stated, “The explosion of connected devices demands instant sensor data processing at the edge. Our Neural Decision Processors deliver advanced AI capabilities on power-constrained devices, consuming only microwatts of energy.”

Efficiency and Scalability for Edge AI

Syntiant’s Neural Decision Processors deliver unmatched efficiency for edge computing. Independent verification confirms they are 100x more power-efficient than traditional low-power MCUs. They also achieve 10x faster throughput, setting a new industry benchmark. This advancement enables machine learning applications to run locally in low-power, always-on environments instead of relying on cloud servers or high-performance processors.

By combining real-time sensor AI with ultra-low power consumption, Syntiant is paving the way for scalable, next-generation applications across multiple industries.

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News Source:Prnewswire.com