BrainChip Showcases Edge AI Technologies at 2023 Embedded Vision Summit
Laguna Hills, Calif. – May 10, 2022 – 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, today announced that Chief Marketing Officer Nandan Nayampally has been selected to present as part of the Enabling Technologies track at the Embedded Vision Summit in the Santa Clara Convention Center May 23 at 4:50 p.m. PDT.
The Embedded Vision Summit attracts a global audience of technology professionals from companies developing computer vision and edge AI-enabled products including embedded systems, cloud solutions and mobile applications. BrainChip will have a booth at this event demonstrating the latest accomplishments with the Akida™ technology as well as presenting at this event.
Nayampally’s presentation, “Enabling Ultra-Low Power Edge Inference and On-Device Learning with Akida,” will show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with extreme energy efficiency. Part of the demonstration features a showcase of Akida’s compelling performance and extreme energy efficiency on complex models; an explanation on how Akida executes spatial-temporal convolutions using innovative handling of 3D and 1D data; and discussion on how Akida supports low-power implementation of Vision Transformers (ViT).
“It is critical to make Edge AI devices more intelligent to realize the promise of a trillion-dollar AIoT market,” said Nayampally. “I look forward to sharing what BrainChip is doing to help support the industry’s growth and market penetration by empowering AI experts and novices with the tools they need to deploy disruptive Edge AI applications that weren’t previously possible.”
Akida processors power next-generation edge AI in a range of industrial, home, automotive, and scientific environments. Akida’s fully digital, customizable, event-based neural processor and IP is ideal for advanced AI/ML devices such as intelligent sensors, medical devices, high-end video-object detection, and ADAS/autonomous systems. Akida’s neuromorphic architecture delivers high performance with extreme energy efficiency that enables partners to deliver AI solutions previously not possible on battery-operated or fan-less embedded, edge devices. Akida also has a unique ability to learn on-device in a secure fashion, without the need for cloud retraining.
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, AkidaTM, 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 and Teksun Demonstrate Rapid Adoption of AI Solutions at Embedded Vision Summit
- BrainChip Demonstrates Company's Event-Based AI Neural Processor at Embedded Vision Summit
- At Embedded World 2023, Dolphin Design showcases AI-based vision applications at sub-mW level that fit in less than 1MB RAM
- Think Silicon to Showcase its Latest Ultra-Low-Power Graphics and AI Solutions for Edge Computing at Embedded World 2023
- intoPIX showcases its innovative image processing and compression solutions for human & machine vision at Embedded World 2023
Breaking News
- U.S. Government Accredits GlobalFoundries to Manufacture Trusted Semiconductors at New York Facility
- MIPS Leverages Siemens' Veloce proFPGA platform to Implement and Make Available Capabilities of its New High-Performance eVocore P8700 RISC-V Multiprocessor
- Cadence Collaborates with Arm to Accelerate Mobile Device Silicon Success with New Arm Total Compute Solutions
- SDIC Licenses 8051 Microcontroller IP Cores from CAST
- AndeSentry™ Collaborative Framework Enables Comprehensive RISC-V Security Solutions
Most Popular
- Nanusens announces that it can now create ASICs with embedded sensors
- Synopsys and Arm Strengthen Collaboration for Faster Bring-Up of Next-Generation Mobile SoC Designs on the Most Advanced Nodes
- Total Revenue of Global Top 10 IC Design Houses for 3Q22 Showed QoQ Drop of 5.3%; Broadcom Returned to No. 2 Spot in Revenue Ranking by Overtaking NVIDIA and AMD, Says TrendForce
- New Arm Total Compute Solutions enable a mobile future built on Arm
- TSMC lays out a killer roadmap
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |