The Technology Behind Streaming AI
on a Fraction of the Power
BrainChip’s AkidaTM processor IP uses sparsity to focus on the most important data, inherently avoiding unnecessary computation and saving energy at every step.
BrainChip’s Neural Network Model, Temporal Event-based Neural Networks (TENNsTM), builds on a state-space model architecture to track events over time instead of sampling at fixed intervals, skipping periods of no change to save energy and memory.
Together, they deliver unmatched efficiency for real-time AI.
Why On-Device AI Matters
Bringing AI on Device Unlocks Various Benefits:
Cost Effective
No unending cloud
fees
Low Latency
Support real-time
streaming data
Reliability
Keeps working, even
without a network
connection
Privacy
Your data stays on
the device, not in
the cloud
Security
No transmissions
means less risk of
interception
Personalized
Models can be tailored
to your specific
use case
Everything You Need to Build On-Device AI
A fully integrated set of models, tools, and acceleration hardware. Akida combines optimized ML models with custom digital hardware to unlock the full benefits of sparsity and efficiency.
Everything You Need to Build On-Device AI
A fully integrated set of models, tools, and acceleration hardware. Akida combines optimized ML models with custom digital hardware to unlock the full benefits of sparsity and efficiency.
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Partners
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What Innovators Are Saying
“By integrating BrainChip’s Akida technology, we’re pushing the boundaries of what’s possible in AI and IoT. This collaboration isn’t just about technology, it’s about creating real-world solutions, like our neuromorphic seizure prediction glasses, that make a meaningful impact,”
“Together with BrainChip, we evaluated the Akida IP and decided that the next step of licensing it would beneficially augment our future space processors with neuromorphic AI.”
“We have proven the efficacy of using BrainChip’s Akida neuromorphic chip to implement some of the most challenging real-time radar/EW signal processing algorithms,”
“Working with BrainChip and incorporating their Akida technology into our ASIC solutions service, we are better able to handle the development and support processes needed to design and manufacture integrated circuits and systems on chips that can take advantage of AI at the Edge.”
“Generative AI and LLMs at the Edge are key to intelligent situational awareness in verticals from manufacturing to healthcare to defense.Disruptive innovation like BrainChip TENNs built on the foundation of neuromorphic principles, can deliver compelling solutions in ultra-low power, small form factor devices at the Edge, without compromising accuracy.”
“Multimodal Edge AI is an irreversible trend, and it is intensifying the demands on intelligent compute required from Edge devices. We’re excited that the 2nd Generation Akida addresses the critical elements of performance, efficiency, accuracy, and reliability needed to accelerate this transition. Most importantly, BrainChip has been a strategic partner that has collaborated closely with Edge Impulse to make their solutions easy to integrate, develop and deploy to the market.”
“BrainChip and its unique digital neuromorphic IP have been part of IFS’ Accelerator IP Alliance ecosystem since 2022. We are keen to see how the capabilities in Akida’s latest generation offerings enable more compelling AI use cases at the edge”
“At Prophesee, we are driven by the pursuit of groundbreaking innovation addressing event-based vision solutions. Combining our highly efficient neuromorphic-enabled Metavision sensing approach with BrainChip’s Akida neuromorphic processor holds great potential for developers of high performance, low-power Edge AI applications. We value our partnership with BrainChip and look forward to getting started with their 2nd generation Akida platform, supporting vision transformers and TENNs.”
“BrainChip has some exciting upcoming news and developments underway. Their 2nd generation Akida platform provides direct support for the intelligence chip market, which is exploding. IoT market opportunities are driving rapid change in our global technology ecosystem, and BrainChip will help us get there.”
“Integration of AI Accelerators, such as BrainChip’s Akida technology, has application for high-performance RF, including spectrum monitoring, low-latency links, distributed networking, AESA radar, and 5G base stations. A leader in small form factor, low power SDR technology.”
“Through our collaboration with BrainChip, we are enabling the combination of SiFive’s RISC-V processor IP portfolio and BrainChip’s 2nd generation Akida neuromorophic IP to provide a power-efficient, high capability solution for AI processing on the Edge. Deeply embedded applications can benefit from the combination of compact SiFive Essential™ processors with BrainChip’s Akida-E, efficient processors; more complex applications including object detection, robotics, and more can take advantage of SiFive X280 Intelligence™ AI Dataflow Processors tightly integrated with BrainChip’s Akida-S or Akida-P neural processors.”
“Edge Impulse is thrilled to collaborate with BrainChip and harness their groundbreaking neuromorphic technology. Akida’s 2nd generation platform adds TENNs and Vision Transformers to a strong neuromorphic foundation. That’s going to accelerate the demand for intelligent solutions. Our growing partnership is a testament to the immense potential of combining Edge Impulse’s advanced machine learning capabilities with BrainChip’s innovative approach to computing. Together, we’re forging a path toward a more intelligent and efficient future.”
“Ai Labs is excited about the introduction of BrainChip’s 2nd generation Akida neuromorphic IP, which supports TENNs. This will enable high-end vision and multi-sensory capability devices to scale rapidly. Together, Ai Labs and BrainChip will support our customers’ needs to address complex problems. Improving development and deployment for industries such as manufacturing, oil and gas, power generation, and water treatment, preventing costly failures and reducing machine downtime.”
“We licensed Akida neural processors because of their unique neuromorphic approach to bring hyper-efficient acceleration for today’s mainstream AI models at the edge. With the addition of advanced temporal convolution and vision transformers, we can see how low-power MCUs can revolutionize vision, perception, and predictive applications in a wide variety of markets like industrial and consumer IoT and personalized healthcare, just to name a few. “
“We see a growing number of predictive industrial (including HVAC, motor control) or automotive (including fleet maintenance), building automation, remote digital health equipment and other AIoT applications use complex models with minimal impact to product BOM and need faster real-time performance at the Edge. BrainChip’s ability to efficiently handle streaming high frequency signal data, vision, and other advanced models at the edge can radically improve scale and timely delivery of intelligent services.”
“Advancements in AI require parallel advancements in on-device learning capabilities while simultaneously overcoming the challenges of efficiency, scalability, and latency. BrainChip has demonstrated the ability to create a truly intelligent edge with Akida and moves the needle even more, in terms of how Edge AI solutions are developed and deployed. The benefits of on-chip AI from a performance and cost perspective are hard to deny.”
“BrainChip’s cutting-edge neuromorphic technology is paving the way for the future of artificial intelligence, and Drexel University recognizes its immense potential to revolutionize numerous industries. We have experienced that neuromorphic compute is easy to use and addresses real-world applications today. We are proud to partner with BrainChip and advancing their groundbreaking technology, including TENNS and how it handles time series data, which is the basis to address a lot of complex problems and unlocking its full potential for the betterment of society.”
