NVM OTP NeoBit in Vanguard (350nm, 250nm, 180nm, 160nm, 150nm, 110nm)
BrainChip and Edge Impulse Offer a Neuromorphic Deep Dive into Next-Gen Edge AI Solutions
Laguna Hills, Calif. – August 9, 2023 – 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 IP, and Edge Impulse, the edge AI platform for enterprise teams building innovative products, join to present a technical livestream discussing their collaborative efforts in building an ecosystem for accelerated Edge AI products August 24 at 9 a.m. PDT.
“A Neuromorphic Deep Dive into Next-Gen AI Solutions” features technical leads from BrainChip and Edge Impulse offering a detailed exploration of BrainChip’s Akida hardware metrics and providing a framework for designing AI models using Edge Impulse. As part of the webinar, attendees will see live demonstrations of models running on BrainChip AKD1000 reference SoC.
“The world of neuromorphic computing is a truly fascinating one and to some may be perceived as complex,” said Nikunj Kotecha, Senior Solutions Architect at BrainChip. “Through this joint webinar, BrainChip and Edge Impulse will shed more light on how we simplify the development, implementation and deployment of cutting-edge neuromorphic AI models and solutions, to drive innovation in Edge devices. It really is a can’t-miss event.”
Those interested in attending the free webinar can register here.
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida TM , uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
|
Related News
- BrainChip Previews Industry's First Edge Box Powered by Neuromorphic AI IP
- BrainChip and CVEDIA Team to Advance State-of-the-Art Edge AI and Neuromorphic Computing
- Edge Impulse and BrainChip Partner to Further AI Development with Support for the Akida platform
- BrainChip Joins Intel Foundry Services to Advance Neuromorphic AI at the Edge
- Edge Impulse Releases Deployment Support for BrainChip Akida Neuromorphic IP
Breaking News
- Arteris Wins Two Gold and One Silver Stevie® Awards in the 2025 American Business Awards®
- Faraday Adds QuickLogic eFPGA to FlashKit‑22RRAM SoC for IoT Edge
- Xylon Introduces Xylon ISP Studio
- Crypto Quantique announces QRoot Lite - a lightweight and configurable root-of-trust IP for resource-constrained IoT devices
- BOS Semiconductors to Partner with Intel to Accelerate Automotive AI Innovation
Most Popular
- Andes Technology and Imagination Technologies Showcase Android 15 on High-Performance RISC-V Based Platform
- TSMC Unveils Next-Generation A14 Process at North America Technology Symposium
- Synopsys and TSMC Usher In Angstrom-Scale Designs with Certified EDA Flows on Advanced TSMC A16 and N2P Processes
- Certus Semiconductor Joins TSMC IP Alliance Program to Enhance Custom I/O and ESD Solutions
- M31 Collaborates with TSMC to Advance 2nm eUSB2 IP Innovation
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |