BrainChip

Akida Exploits Sparsity For Low Power in Neural Networks

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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 […]

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BrainChip Launches Akida Cloud for Instant Access to Latest Akida Neuromorphic Technology

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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

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How to Think About Large Language Models on the Edge

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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

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DeGirum Demonstration of Its PySDK Running on BrainChip Hardware for Real-time Edge AI

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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

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BrainChip Demonstration of LLM Inference On an FPGA at the Edge using the TENNs Framework

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Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Manninen demonstrates his company’s large language models (LLMs) running on an FPGA edge device, powered by BrainChip’s proprietary TENNs (Temporal Event-Based Neural Networks) framework. BrainChip enables real-time generative AI

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BrainChip Demonstration of Its Latest Audio AI Models in Action At the Edge

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Richard Resseguie, Senior Product Manager at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Resseguie demonstrates the company’s latest advancements in edge audio AI. The demo features a suite of models purpose-built for real-world applications including automatic speech recognition, denoising, keyword spotting, and

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“State-space Models vs. Transformers for Ultra-low-power Edge AI,” a Presentation from BrainChip

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Tony Lewis, Chief Technology Officer at BrainChip, presents the “State-space Models vs. Transformers for Ultra-low-power Edge AI” tutorial at the May 2025 Embedded Vision Summit. At the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In… “State-space Models vs. Transformers for

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BrainChip CTO to Present on Architectural Innovation for Low-power AI at the Embedded Vision Summit

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May 19, 2025 5:00 PM Eastern Daylight Time–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 that Dr. M. Anthony Lewis, the company’s Chief Technology Officer, will present at the Embedded Vision Summit, taking place May 20–22,

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BrainChip Extends RISC-V Reach with Andes Technology Integration

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April 23, 2025–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, brain-inspired AI, today announced the integration of its NPUs with RISC-V cores from Andes Technology, the industry leading provider of RISC-V embedded cores. The companies will demonstrate BrainChip’s Akida™ AKD1500

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BrainChip Gives the Edge to Search and Rescue Operations

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Laguna Hills, Calif. – April 16, 2025 – 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 that it has partnered with ARQUIMEA on an AI-powered detection solution that enhances water safety. ARQUIMEA has demonstrated BrainChip’s Akida with a Prophesee event-based

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