On April 20, 2026, at 8:00 pm PDT (11:00 am EDT) BrainChip will deliver a webinar “Akida Radar Reference Platform: See the Evolution of Radar Intelligence with AI-Powered Object Classification” From the event page: Join us on 20 April at 8:00 AM PT for an exclusive deep dive into BrainChip’s Radar Reference Platform — bringing […]
Upcoming Webinar on Akida Radar Reference Platform Read More +
LAGUNA HILLS, Calif. — April 6, 2026 — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of ultra-low-power, neuromorphic AI technology, today announced the launch of its Radar Reference Platform. This fully validated hardware and AI stack is designed to provide real-time object classification at the edge, solving the critical “identification gap” that limits traditional radar
BrainChip Unveils Radar Reference Platform to Bridge the ‘Identification Gap’ in Edge AI Read More +
LAGUNA HILLS, Calif. — March 10, 2026 — BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low-power, fully digital, event-based neuromorphic AI, today announced at Embedded World in Nuremberg, Germany the launch of AkidaTag©, a reference platform for smart sensing in a battery-powered tag powered by Nordic Semiconductor. Intelligent wearable and remote industrial sensors
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. We all know the AI revolution train is heading straight for the Embedded Station. Some of us are already in the driver’s seat, while others are waiting for the first movers to pave the way so we can
Right Sizing AI for Embedded Applications Read More +
Laguna Hills, Calif. — November 4th, 2025 — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a global leader in ultra-low power, fully digital, event-based neuromorphic AI, today announced the launch of its AKD1500, a neuromorphic Edge AI accelerator co-processor chip, at Embedded World North America. Designed to deliver exceptional performance with minimal power consumption, the AKD1500 achieves 800 giga operations
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. Accelerating LiDAR Point Cloud with BrainChip’s Akida™ PointNet++ Model. LiDAR (Light Detection and Ranging) technology is the key enabler for advanced Spatial AI—the ability of a machine to understand and interact with the physical world in three
Unleash Real-time LiDAR Intelligence with BrainChip Akida On-chip AI Read More +
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. In the rapidly evolving field of artificial intelligence, edge computing has become increasingly vital for deploying intelligent systems in real-world environments where power, latency, and bandwidth are limited: we need neural network models to run efficiently. For
Akida Exploits Sparsity For Low Power in Neural Networks Read More +
Aligns with BrainChip’s long-term strategy to accelerate customer access to its innovations and reduce development cycles LAGUNA HILLS, Calif.–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced launch of the BrainChip Developer Akida Cloud, a new cloud-based access point
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. ChatGPT was released to the public on November 30th, 2022, and the world – at least, the connected world – has not been the same since. Surprisingly, almost three years later, despite massive adoption, we do not
How to Think About Large Language Models on the Edge Read More +
Stephan Sokolov, Software Engineer at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products in BrainChip’s booth at the 2025 Embedded Vision Summit. Specifically, Sokolov demonstrates the power of real-time AI inference at the edge, running DeGirum’s PySDK application directly on BrainChip hardware. This demo showcases low-latency, high-efficiency performance as a script
DeGirum Demonstration of Its PySDK Running on BrainChip Hardware for Real-time Edge AI Read More +
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