BrainChip

NEW on the Blog: Edge Impulse’s latest report projects the edge AI market to reach $143.6B by 2032. As early adopters look for seamless support, BrainChip’s MetaTF framework simplifies the transition to Akida’s event-based computing platform. Our newest blog post explores how MetaTF tools enable developers to convert, quantize, and run ML models on Akida, using familiar environments like Python and Jupyter Notebooks. Read more on how MetaTF can accelerate the path to edge-based learning. Full post here: https://bit.ly/3NOk6f1

Join BrainChip at tinyML Foundation Taipei 2024 on November 6, 2024, at the Grand Hilai Taipei, Taiwan, for a key event focused on the future of AI and edge computing. Under the theme “TinyML Drives AI Everywhere,” this event will highlight the latest advancements in tinyML technology and its applications across industries. BrainChip will be participating with a presentation titled “Rag System on the Edge Using TENNs” and hosting an exhibitor booth and demo table. Learn more: https://bit.ly/4f05wNu

This week at the NPBH 2024 Workshop on Neuromorphic Principles in Biomedicine and Healthcare, BrainChip’s CTO, Dr. Tony Lewis, was invited to join a luminary group of scientists and healthcare officials, as the only invited industry speaker, and participated as a panelist in the session on "Medical Imaging, Wearables, and Analysis.” Dr. Lewis contributed to discussions on the evolving role of neuromorphic technology in healthcare and later contributed to a position on how neuromorphics can impact the biotechnology roadmap. This roadmap outlines the benefits of neuromorphic approaches, identifies challenges, and proposes a path forward for realizing these benefits as a guide for government and research organizations. Learn more: https://bit.ly/40qto8i   #NPBH2024 #HealthcareInnovation #Medicalimaging #Wearables  

Podcast Inside Electronics - Bill Wong, chats with Steve Brightfield, CMO at BrainChip, about neuromorphic computing in the form of spiking neural networks (SNNs). SNNs take an event-based approach to artificial intelligence and machine learning (AI/ML). Listen here: https://lnkd.in/gBu5iJi2 - Electronic Design

Great video Interview with BrainChip's CMO Steve Brightfield and William Wong on TechXchange via Electronic Design - Neuromorphic NPU Sips Power to Handle Edge Machine-Learning Models - BrainChip’s Akida Pico neural processing unit, targets low-power IoT and edge-computing devices. https://lnkd.in/gRHcKrrk

ICYMI - Ultra-low-power NPU with energy consumption of less than 1 mW - via - ELEKTRONIKPRAXIS - https://lnkd.in/gMwy2HJj

BrainChip at Embedded World 2024 - Todd Vierra being interviewed by Guy Forster of ipXchange. If you are at the show, stop by and meet the BrainChip team. #embeddedworld #ew24

ICYMI: BrainChip's Kurt Manninen's LLM & RAG demo running on Akida TENNs is live: https://lnkd.in/gtJFhCXE

BrainChip is live at Embedded World North America in Austin, TX, running today through October 10, 2024, at the Austin Convention Center. This event brings together leading experts and innovators in the embedded community, making it a perfect place for BrainChip to showcase our cutting-edge technology. You can find us at Booth 1947B, alongside Edge Impulse, where we’re demonstrating our Temporal Event-based Neural Networks (TENNs) plus Face and Edge Learning capabilities. If you're attending, we’d love to connect and discuss how BrainChip can enhance your embedded solutions. Stop by the booth and say hello! Here’s a glimpse of Day 1 so far!

"The company envisions that key applications for the Akida Pico will include voice wake detection, keyword recognition, noise suppression, presence detection, wearables, and personal voice assistants. It can also be used in appliances for voice control and is particularly effective for wearable AI and smart home devices. As BrainChip puts it, ultra-low-power consumption of the Akido Pico is optimized for 'extreme edge AI,' possibly implying on emerging devices that do not exist yet." - Anton Shilov