The 2nd generation Akida platform is designed for extremely energy-efficient processing of complex neural network models on Edge devices. The support for 8-bit weights, activations, and long-range skip connections expands the reach of models that are accelerated completely in Akida’s hardware. With the exponential increase in Cloud compute requirements for AI compounded by the growth of Generative AI, the move towards Hybrid AI solutions needs more capable and efficient compute at the Edge.

The introduction of Temporal Event Based Neural Nets (TENNs) revolutionizes the advanced sequential processing for multi-dimensional streaming and time-series data. This can radically reduce model size and improve performance, as well as efficiency, without compromising accuracy, which is an important consideration for Edge devices. Reducing the model size and improving compute density by order of magnitude, allows more capable AI use cases to compute closer to sensor in a more secure fashion.

Combining this with hardware acceleration of Vision Transformers (ViT) models, which boosts vision performance, unlocks the potential to create game-changing Edge devices that can process advanced vision and video applications in milliwatts or audio and other similar applications in microwatts at the sensor.

“Generative AI and LLMs at the Edge are key to intelligent situational awareness in verticals from manufacturing to healthcare to defense,” said Jean-Luc Chatelain, MD of Verax Capital Advisors and former MD and Global CTO at Accenture Applied Intelligence. “Disruptive innovation like BrainChip TENNs support Vision Transformers 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.”

The second generation MetaTF software enables developers to evaluate the capabilities of Akida, optimize, and customize their designs to get a head start on architecting their System on a Chip (SoC) along with their software solutions. In addition to TensorFlow, MetaTF will support ONNX which allows for greater compatibility across various frameworks including PyTorch.

“Multimodal Edge AI is an irreversible trend, and it is intensifying the demands on intelligent compute required from Edge devices,” said Zach Shelby, CEO Edge Impulse. “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.”

Akida processors power the next generation of Edge AI devices that enable growth in intelligence in industrial, home, automotive and other IoT environments. Akida’s fully digital, customizable, event-based neural processing solution is ideal for advanced intelligent sensing, medical monitoring and prediction, high-end video-object detection and more. Along with its extreme efficiency, accuracy and performance, Akida also has a unique ability to securely learn on-device without the need for cloud retraining.

“This is a significant step in BrainChip’s vision to bring unprecedented AI processing power to Edge devices, untethered from the cloud,” said Sean Hehir, CEO, BrainChip. “With Akida’s 2nd generation in advanced engagements with target customers, and MetaTF enabling early evaluation for a broader market, we are excited to accelerate the market towards the promise of Edge AI”.

BrainChip partners looking to leverage the latest capabilities of Akida IP into their Edge products to maximize efficiency, reduce latency and conserve energy should contact sales@brainchip.com for additional opportunities.

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.

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VVDN Technologies is an industry-leading device manufacture and solutions provider that has extensive experience in developing and deploying vision-based solutions for various domains, such as automotive, industrial, security surveillance, enterprise, medical and others. VVDN will complement BrainChip’s AI capability with their domain expertise in hardware design, firmware development, cloud integration and manufacturing for the Edge box product.

“We are excited to bring the benefits of neuromorphic computing to the Edge AI market with VVDN as our lead partner,” said Sean Hehir, CEO of BrainChip. “This portable and compact Edge box is a game-changer that enables customers to deploy AI applications cost-effectively with unprecedented speed and efficiency to proliferate the benefits of intelligent compute.”

The Edge box is a compact and powerful device that can run various AI applications at the Edge of the network, such as video analytics, face recognition, object detection and more. The Edge box leverages BrainChip’s Akida processors, which are designed to mimic the structure and function of the human brain. Akida processors offer high performance, low power consumption and scalability for Edge AI solutions.

“Edge boxes are a rapidly growing segment in AI and are currently based on platforms from major players,” said Bram Geenen Co-founder of Wevolver, providers of one of the most subscribed Edge AI analyst reports. “The cost-effectiveness, efficiency and scalability of BrainChip’s Akida neuromorphic processor, coupled with VVDN’s solutions expertise should deliver a boost to the proliferation of customizable and secure AI applications at the Edge.”

“Edge AI is currently dominated by Nvidia and Qualcomm. But these systems are not ideal for the Edge from a power, size, and cost perspective,” said Marc Staimer, President Dragon Slayer Consulting. “Edge AI systems specifically architected to meet the performance, power, cooling, portability, and cost requirements are necessary to drive market growth.”

The Edge box will be available for presale from BrainChip and VVDN later this year.

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.

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The continuous evolution of AI is paving the way for groundbreaking applications in the technology sector. Participants will dive deep into how companies are leveraging AI and computer vision to unlock new opportunities, spanning from semiconductor innovations to fintech breakthroughs. Maxim senior analysts will facilitate engaging dialogues with CEOs and key management of emerging growth companies with a strong focus on AI. BrainChip CEO Sean Hehir will discuss the role BrainChip’s technology plays in shaping the future of in-situ intelligence on tiny devices in a virtual fireside chat September 26 at 3:00pm ET.

BrainChip’s Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio, smart transducers, vital signs and, more broadly, any sensor application. BrainChip’s scalable solutions, which can be used standalone or integrated into systems on chip to execute today’s models and future networks directly in hardware, empowers the market to create much more intelligent, cost-effective devices and services that can be universally deployed across real-world applications in connected cars, healthcare, consumer electronics, industrial IoT, smart-agriculture and more, including use in a space mission and in the most stringent conditions.

“The Emerging Growth in AI Conference is an ideal venue to showcase how advanced IoT infrastructure and AI technologies inspired by the human brain, deliver highly efficient problem solving, with more intuitive and secure human-to-machine interactions,” said Hehir. “As a leader in Edge AI, we see just how ubiquitous the technology will be and will highlight how we are driving AI into a plethora of use cases that weren’t possible before.”

The two-day Emerging Growth in AI event features more than 40 companies with a focus on artificial intelligence participating in a series of virtual panels, live roundtables, and company discussions. This conference will be live on M-Vest. To attend, interested parties must sign up to become an M-Vest member and reserve their seat.

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.

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The combined AI Hardware & Edge AI Summit comprehensively covers the design and deployment of ML hardware and software infrastructure across the cloud-edge continuum. As part of the Summit, BrainChip CMO Nandan Nayampally will present “The Edge of Tomorrow: Intelligent Compute to scale AIoT” on September 13 at 4:55 p.m. PDT. The session will detail BrainChip’s holistic, distributed approach that frees up the cloud and creates an explosion of capable, intelligent sensing devices on the Edge that accelerate global artificial intelligence.

“We are pleased to partner with the AI Hardware & Edge AI Summit to demonstrate how BrainChip’s fully digital, event-based Akida platform provides radically efficient AI inference on device to substantially increase the level of intelligence delivered on Edge devices,” said Nayampally. “I look forward to discussing how our approach in keeping AI/ML local to the chip while minimizing the need for cloud, dramatically reduces latency while improving privacy and data security.”

Akida processors power the next generation of Edge AI devices that enable growth in intelligence in industrial, home, automotive, and other IoT environments. Akida’s fully digital, customizable, event-based neural processing solution is ideal for advanced intelligent sensing, medical monitoring and prediction, high-end video-object detection and more. Akida’s neuromorphic architecture delivers high performance with extreme energy efficiency enabling AI solutions previously not possible on battery-operated or fan-less embedded Edge devices. Akida also has a unique ability to securely learn on-device without the need for cloud retraining.

To schedule an appointment with BrainChip during the AI Hardware & Edge AI Summit, email sales@brainchip.com.

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.

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006

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With more than 10,000 employees and multiple locations worldwide, Tata Elxsi is a global leader in providing design and technology services across a multitude of industries and markets. The company helps some of the largest corporations in the world reimagine their products and services through design thinking and the application of digital technologies through next-generation AI solutions.

Tata Elxsi’s partnership with BrainChip will be driving Akida technology into medical devices and industrial applications by leveraging BrainChip’s first-to-market, fully digital, neuromorphic technology to provide intelligent, low-power solutions to these demanding target markets.

Akida’s fully customizable, scalable, event-based AI neural processor architecture and its small footprint boosts the efficiency of various applications by orders of magnitude. Greater AI performance at the edge, independent from the cloud, unlocks the growth of the Artificial Intelligence of Things (AIoT) market that is expected to be more than a trillion dollars by 2030.

“The combination of our user-centric design expertise with leading-edge technologies is key to helping enterprises reimagine their products and services to improve operational efficiency, reduce costs and deliver new services to their customers,” said Manoj Raghavan, CEO and MD at Tata Elxsi. “This cannot be possible without our global ecosystem of partners. By partnering with BrainChip and implementing Akida technology into medical and industrial solutions, we are able to deliver innovative solutions at a faster time to market than otherwise possible.”

“BrainChip is very aligned with Tata Elxsi’s mission to innovate with leading edge technology and deliver compelling new products and services that improve customer experience and outcomes,” said Rob Telson, Vice President of Ecosystems & Partnerships at BrainChip. “Our partnership with Tata Elxsi leverages Akida technology to transform applications and results in markets such as healthcare and industrial automation. We look forward to working with them to create new opportunities and drive growth.”

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 , 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.

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
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Leveraging GlobalFoundries’ advanced 22nm fully depleted silicon-on-insulator (FD-SOI) 22FDX® technology, the AKD1500 is fully functional at first silicon and furthers the growth of neuromorphic computing at the edge and highlights the portability of BrainChip’s Akida architecture. This has been made possible by the close partnership with GlobalFoundries and their streamlined engagement processes and reflects the maturity and the ease of using the GF 22FDX processes.

The AKD1500 demonstrates the benefits of Akida’s pure digital, extremely energy-efficient, event-based AI computation for at-sensor or sensor-balanced solutions for AIoT, industrial and consumer markets. Matched with GlobalFoundries’ proprietary FDX process technology platform, AKD1500 delivers cost-effective performance for connected and low-power embedded applications and makes it an ideal option for prototyping and proof-of-concept engagements as well as module development and deployment.

“GlobalFoundries is at the forefront enabling the innovation of AI at the edge. Our 22nm FDX technology is ideally suited for extremely low power, low leakage applications at sensor and intelligent edge computing,” said Mike Hogan, Chief Business Unit Officer at GlobalFoundries. “Partnering with trendsetters like BrainChip will drive the future of intelligent computing utilizing GlobalFoundries’ technology offerings.”

“This is the latest milestone in BrainChip’s continued focus on execution to simplify the integration and proliferation of neuromorphic technology for scaling AIoT,” said Sean Hehir, Chief Executive Officer at BrainChip. “The AKD1500 in the GlobalFoundries’ process demonstrates the synergy of our digital IP with the low leakage 22nm FDX process for compelling edge AI devices and we look forward to more partners integrating Akida IP into their innovative AI applications.”

Along with the delivery of chips in silicon, BrainChip will be offering AKD1500 development boards in the following quarters as it continues to build out its product portfolio. To request a demonstration of the technology and be notified when the development boards are available, interested parties can visit https://brainchip.com/contact/.

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.

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
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The post BrainChip Receives First Shipment of AKD1500 Chips in Silicon from Technology Partner GlobalFoundries appeared first on Edge AI and Vision Alliance.

Patent AU 2022203607, “Event-Based Extraction of Features in a Convolutional Spiking Neural Network,” significantly reduces the computational requirements and power consumption of event-based transposed and dilated convolution techniques compared to non-event-based convolutions by requiring a smaller number of even-based neuron circuits. This technology is in the advanced stages of development for integration into the 2nd generation Akida IP, indicating its practical use in cutting-edge hardware.

“Our growing IP portfolio is the result of more than 15 years of AI architecture research and development,” said Sean Hehir, CEO of BrainChip. “As we continue to innovate and improve our technology, we enable our partners to create unprecedented intelligent Edge devices and applications. This patent from IP Australia further cements our leadership as the world’s first commercial producer of neuromorphic IP.”

BrainChip’s portfolio now comprises eighteen issued patents (12 US, 4 Australian, 1 European and 1 Chinese). Around thirty patent applications remain pending in the US, Europe, Australia, Canada, Japan, Korea, India, Brazil, Russia, Mexico, and Israel.

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.

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
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The post BrainChip Continues to Expand IP Portfolio with Latest Australian Patent Issuance appeared first on Edge AI and Vision Alliance.

“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.

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006

The post BrainChip and Edge Impulse Offer a Neuromorphic Deep Dive into Next-gen Edge AI Solutions appeared first on Edge AI and Vision Alliance.

BrainChip is among the innovative public companies at the forefront of emerging innovation invited to present a broad look at emerging themes across the technology landscape to institutional investors. At the two-day virtual conference, BrainChip will provide a competitive analysis of players in Edge AI with an eye on how to best capitalize on the opportunities offered in the multitrillion-dollar market.

“From detailing how Edge AI is the compute model of the future to showcasing our leading position as the first and only commercial producer of neuromorphic AI IP solutions, we look forward to showing Oppenheimer investors how we are helping overcome the challenges in a high-potential AIoT market that will deploy more than a trillion intelligent Edge devices by 2030,” said Ken Scarince, CFO at BrainChip. “We’re using neuromorphic computing as a critical enabler to accelerate radically new intelligent services and applications. This is an excellent opportunity to learn more about this technological sea change and how BrainChip is leading the way with its Akida IP.”

The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio, smart transducers, vital signs and, more broadly, any sensor application. BrainChip’s scalable solutions, which can be used standalone or integrated into systems on chip to execute today’s models and future networks directly in hardware, empowers the market to create much more intelligent, cost-effective devices and services that can be universally deployed across a wide range of real-world applications in connected cars, healthcare, consumer electronics, industrial IoT, smart-agriculture and more. BrainChip’s solutions have even been selected for use in a space mission that imposes the most stringent conditions for efficiency, performance and accuracy.

Those wishing to watch BrainChip’s presentation at the Technology, Internet & Communication Conference should contact their institutional salesperson or Oppenheimer Financial Professional to register.

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.

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006

The post BrainChip Presents Market Opportunities of Edge AI at Oppenheimer Technology, Internet & Communications Conference appeared first on Edge AI and Vision Alliance.

The Akida platform provides efficient AI edge processing, easily integrated fully digital IP, and a full stack solution. Nayampally showcases demos identifying small objects using theFaster Objects More Objects (FOMO) model from Edge Impulse with a standard camera and counting moving nuts and bolts using a differential vision sensor (DVS) from Prophesee. Finally, he highlights the sensor-agnostic and silicon platform-agnostic attributes, as well as the ease of deployment, of BrainChip’s Akida platform.

The post BrainChip Demonstration of Sensor-agnostic, Event-based, Untethered Edge AI Inference and Learning appeared first on Edge AI and Vision Alliance.