Anyone who attended or watched videos of Embedded World knows that every tech company and their dog was there. This is a major achievement by Brainchip. Maximum exposure!
BRN Discussion Ongoing
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Wags
Regular
Cheap compared to the elusive box of grinding sparksGod only knows what a can of striped paint is worth these days!
Fact Finder
Top 20
Never a painter but had a few second jobs and was picking up the paint from Wattle out at Blacktown during a heat wave and there was a car parked near where you pulled up to go into the trade shop and the interior was covered in paint. Apparently an apprentice had loaded up his car in a great hurry and drove out of the depo at high speed hit the speed hump at the gate and all the paint tin lids let go covering the interior and the apprentice in paint. Never did find out what happened to the car or the apprentice. This was back in the mid 70's. Don't think even Brainchip AKIDA would have been able to have solved that one.
Apprentice was probably in the turps section ...
Tothemoon24
Top 20
Masimo - News & Media
Masimo Unveils the Future of Health Tracking and Smart Wearables with the Pre-Sale Launch of the Freedom™ Smartwatch
First of Its Kind Smartwatch Combines Masimo’s Accurate, Continuous Health Tracking Technology and Breakthrough Features in a Premium, Elegant Watch
Irvine, California - March 28, 2023 - Masimo(NASDAQ: MASI) a global leader in pulse oximetry and innovative noninvasive monitoring technologies, unveiled the newest addition to its wearable product line: the Masimo Freedom™ smartwatch. Developed to revolutionize the wearable technology industry, the Masimo Freedom smartwatch offers you the freedom to take control of your personal health and privacy through accurate and continuous health tracking, including a novel hardware feature designed to reduce radiation and free you from privacy infringement.
Masimo Freedom™
The Masimo Freedom smartwatch builds on the success of the Masimo W1™ advanced biosensing watch by leveraging its state-of-the-art sensor and digital signal processing technology, enabling it to provide continuous, accurate, and reliable readings of key health data, like arterial blood oxygen saturation (SpO2), hydration index (Hi™), pulse rate, heart rate, and respiration rate. The Freedom smartwatch seamlessly integrates Masimo’s cutting-edge health tracking technology into an elegant, user-friendly wearable with premium connectivity through Bluetooth®, Wi-Fi, and LTE technologies, enabling the everyday conveniences of texting, calling, music, and third-party app compatibility. Masimo Freedom is an ideal companion for active individuals looking for better control of their day-to-day health and wellness data. Unlike other products on the market, Masimo Freedom features a physical privacy switch that instantly stops all data sharing beyond the device, including user data, as well as microphone, location, and metadata.
“We are thrilled to finally unveil Freedom,” said Joe Kiani, Founder and CEO of Masimo. “We believe that this groundbreaking new product will revolutionize wearable technology and health tracking. We are allowing people to take control of their health with continuous and accurate actionable biosensing information along with the convenience of being connected, but without compromising their freedom.”
The Masimo Freedom smartwatch utilizes technology based on Masimo SET® pulse oximetry to optimize the capture of health data on the wrist. Masimo SET®is the primary pulse oximetry technology used at 9 of the top 10 hospitals, as ranked in the 2022-23 U.S. News & World Report Best Hospitals Honor Roll,1 and has been shown in over 100 studies to outperform other pulse oximetry technologies in clinical settings.2
In addition to Masimo Freedom, Masimo is also introducing a sleek, screenless band built on the innovations developed for Masimo W1 and Freedom. The band is designed to work in tandem and seamlessly synchronize with Freedom, so that you can wear one while charging the other – a 24/7 continuous wear ecosystem maximizing your ability to track your health both during the active day and at night while you sleep.
Consumers can pre-order Masimo Freedom now by placing a fully refundable $100 deposit, with expected shipping this fall. Masimo W1 is currently shipping. The Masimo band is expected to be ready for sale this summer. Those who would like to begin taking advantage of Masimo’s advanced biosensing technology now can purchase a Masimo W1 and automatically reserve their place in line to purchase Freedom with a $400 discount off the retail price. For more information about the Masimo family of wearables, and to order Masimo W1 and reserve your Masimo Freedom, visit freedom.masimoconsumer.com.
Masimo Freedom is not cleared for use in medical applications in the U.S.
@Masimo || #Masimo
About Masimo
Masimo (NASDAQ: MASI) is a global medical technology company that develops and produces a wide array of industry-leading monitoring technologies, including innovative measurements, sensors, patient monitors, and automation and connectivity solutions. In addition, Masimo Consumer Audio is home to eight legendary audio brands, including Bowers & Wilkins, Denon, Marantz, and Polk Audio. Our mission is to improve life, improve patient outcomes, and reduce the cost of care. Masimo SET® Measure-through Motion and Low Perfusion™ pulse oximetry, introduced in 1995, has been shown in over 100 independent and objective studies to outperform other pulse oximetry technologies.2 Masimo SET® has also been shown to help clinicians reduce severe retinopathy of prematurity in neonates,3 improve CCHD screening in newborns,4 and, when used for continuous monitoring with Masimo Patient SafetyNet™ in post-surgical wards, reduce rapid response team activations, ICU transfers, and costs.5-8 Masimo SET® is estimated to be used on more than 200 million patients in leading hospitals and other healthcare settings around the world,9 and is the primary pulse oximetry at 9 of the top 10 hospitals as ranked in the 2022-23 U.S. News and World Report Best Hospitals Honor Roll.1 In 2005, Masimo introduced rainbow® Pulse CO-Oximetry technology, allowing noninvasive and continuous monitoring of blood constituents that previously could only be measured invasively, including total hemoglobin (SpHb®), oxygen content (SpOC™), carboxyhemoglobin (SpCO®), methemoglobin (SpMet®), Pleth Variability Index (PVi®), RPVi™ (rainbow® PVi), and Oxygen Reserve Index (ORi™). In 2013, Masimo introduced the Root® Patient Monitoring and Connectivity Platform, built from the ground up to be as flexible and expandable as possible to facilitate the addition of other Masimo and third-party monitoring technologies; key Masimo additions include Next Generation SedLine® Brain Function Monitoring, O3® Regional Oximetry, and ISA™ Capnography with NomoLine® sampling lines. Masimo’s family of continuous and spot-check monitoring Pulse CO-Oximeters® includes devices designed for use in a variety of clinical and non-clinical scenarios, including tetherless, wearable technology, such as Radius-7®, Radius PPG®, and Radius VSM™, portable devices like Rad-67®, fingertip pulse oximeters like MightySat® Rx, and devices available for use both in the hospital and at home, such as Rad-97®. Masimo hospital and home automation and connectivity solutions are centered around the Masimo Hospital Automation™ platform, and include Iris® Gateway, iSirona™, Patient SafetyNet, Replica®, Halo ION®, UniView®, UniView :60™, and Masimo SafetyNet®. Its growing portfolio of health and wellness solutions includes Radius T°®and the Masimo W1™ watch. Additional information about Masimo and its products may be found at www.masimo.com. Published clinical studies on Masimo products can be found at www.masimo.com/evidence/featured-studies/feature.
ORi and RPVi have not received FDA 510(k) clearance and are not available for sale in the United States. The use of the trademark Patient SafetyNet is under license from University HealthSystem Consortium.
SharesForBrekky
Regular
May have been posted before but came across this important job position going on the Brainchip website:
Job Title
Head of Customer Engineering
Job ID
27697350
Work Hybrid
Yes
Location
Laguna Hills, CA 92653
As Brainchip is gaining traction in the commercialisation phase, looks like new roles are being created and becoming more specific ie.someone may have included the role of this job previously but now this new recruit will be able to specifically focus on this very important particular area of the business.
SUMMARY:
A principal goal for the Head of Customer Engineering is to bridge core engineering activities into commercialization efforts. This includes technical customer support policies, objectives, and initiatives. This is a hands-on position, managing a team as well as resolving higher level technical and customer relations issues. This position needs to be able to understand and maintain a working, technical knowledge of our client’s core technologies to provide full top level technical support. This role will report to the CEO.
As Brainchip customer base grows, whoever takes on this role is going to be one very busy individual.
Head of Customer Engineering
careers.brainchip.com
Job Title
Head of Customer Engineering
Job ID
27697350
Work Hybrid
Yes
Location
Laguna Hills, CA 92653
As Brainchip is gaining traction in the commercialisation phase, looks like new roles are being created and becoming more specific ie.someone may have included the role of this job previously but now this new recruit will be able to specifically focus on this very important particular area of the business.
SUMMARY:
A principal goal for the Head of Customer Engineering is to bridge core engineering activities into commercialization efforts. This includes technical customer support policies, objectives, and initiatives. This is a hands-on position, managing a team as well as resolving higher level technical and customer relations issues. This position needs to be able to understand and maintain a working, technical knowledge of our client’s core technologies to provide full top level technical support. This role will report to the CEO.
As Brainchip customer base grows, whoever takes on this role is going to be one very busy individual.
buena suerte :-)
BOB Bank of Brainchip
I think the apprentice eventually became a police prosecutor .... Hmmm
Space Cadet
Regular
Or on the turps
Fullmoonfever
Top 20
Nothing major, just a couple of exposure articles from this month on Gen 2 with one being in a Biometric publication with a blurb on Vivotek facial recognition camera and Hailo and Forbes also in conjunction with a Hailo blurb.
www.biometricupdate.com
www.forbes.com
CATEGORIES Biometric R&D | Biometrics News | Facial Recognition
A trio of edge AI developers have revealed new technologies that bring biometric storage and processing close to the place of application. They include a new camera from Vivotek, a family of vision-processing chips from Hailo, and a real-time data processing platform from BrainChip.
Vivotek has launched its first facial recognition camera, FD9387-FR-v2, that combines edge computing to identify gender and age from video footage even when people wear masks. The company says it can store up to 10,000 profiles with a 99 percent accuracy rate and is compliant with the U.S. National Defense Authorization Act.
The FD9387-FR-v2 Facial Recognition Camera from Vivotek integrates the SAFR Inside AI facial recognition platform from RealNetworks, Inc.
Features include real-time facial detection and tracking, early warning of strange faces, image privacy mode for sensitive areas, strong cybersecurity protection with encrypted data storage and transmission.
The Vivotek FD9387-FR-v2 Facial Recognition Camera suits building banks’, retailers, and buildings’ automation/access control systems. For example, it can integrate with business intelligence (BI) services to send real-time notifications when VIP customers enter the store.
Additionally, it helps track traffic in and out of smart buildings, adding an extra layer of security. Unauthorized visitors can be reported and recorded for future reference.
According to the company, Hailo-15 offers deep learning video processing and AI performance, allowing it to be used by city operators, manufacturers, retailers and transportation authorities for various applications. It can help improve safety and security, increase productivity and machine uptime, protect supply chains, and detect incidents quickly.
“With this launch, we are leveraging our leadership in edge solutions, which are already deployed by hundreds of customers worldwide; the maturity of our AI technology; and our comprehensive software suite to enable high-performance AI in a camera form factor,” states Orr Danon, the CEO of Hailo.
The Hailo-15 VPU family has three variants (Hailo-15H, Hailo-15M, and Hailo-15L) to meet different processing requirements. With performance up to 20 TOPS, the company says it enables over 5x higher performance than existing solutions at a comparable price point.
According to the company, this AI-based video analytic solution provides enhanced safety, privacy and cost-efficiency to organizations while reducing the complexity of network infrastructure.
Hailo also claims that its low-power, fanless processors are well-suited to industrial and outdoor applications where dirt or dust may otherwise impact reliability.
“With a single software stack for all our product families, camera designers, application developers, and integrators can now benefit from an easy and cost-effective deployment supporting more AI, more video analytics, higher accuracy, and faster inference time, exactly where they’re needed,” adds Danon.
Hailo will demonstrate its Hailo-15 AI vision processor at ISC-West in Las Vegas, Nevada, from March 28-31.
The company began a collaboration with Innovatrics on facial recognition late last year.
“We see an increasing demand for real-time, on-device intelligence in AI applications powered by our MCUs and the need to make sensors smarter for industrial and IoT devices,” says Roger Wendelken, the senior vice president in Renesas’ IoT and Infrastructure Business Unit.
Applications that can benefit from fast vision transformation include facial recognition and other biometrics.
Akida’s second-generation technology features Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions, which can efficiently process raw time-continuous streaming data. The technology enables more straightforward implementations while providing high accuracy and a lower development cost and is suitable for use in industrial, automotive, digital health, smart home, and smart city applications.
Akida’s second generation also offers Vision Transformers (ViT) acceleration. This neural network excels in computer vision tasks such as object detection and semantic segmentation, BrainChip says. Akida’s ability to process multiple layers simultaneously and hardware support for skip connections enables it to self-manage complex networks like RESNET-50 entirely within the neural processor without CPU intervention and reduces system load.
“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,” says Wendelken.
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Mar 11, 2023,02:11pm EST
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Arficial Intelligence
GETTY
Artificial Intelligence (AI) has been making headlines over the past few months with the widespread use and speculation about generative AI, such as Chat GPT. However, AI is a broad topic covering many algorithmic approaches to mimic some of the capabilities of human beings. There is a lot of work going on to use various types of AI to assist humans in their various activities. Note that all AI has limitations. It generally doesn’t reason, like we do and it is generally best at recognizing patterns and using that information to create conclusions or recommendations. Thus, AI must be used with caution and not used to form conclusions beyond what it is capable of analyzing. Also, AI must be tested to make sure it is not biased based upon the training sets used to create the AI algorithms.
AI comes in big and small packages. Much of the training is done in data centers, where vast stored information and sophisticated processing of that information can be used to train AI models. However, once a model is created it can be used to interpret information collected locally via sensors, cameras, microphones and other data sources to make inferences that can help people to make informed decisions. One important application for such AI inference engines is for mobile and consumer devices that may be used for biometric monitoring, voice and image recognition and many other purposes. Inference engines can also be used to improve manufacturing and various office tasks. AI inference engines are also an important component in driving assistance and autonomous vehicles, enabling lane departure detection and collision avoidance, and other capabilities.
There have been some recent announcements for AI inference engine chips from Brainchip and Hailo. Let’s look at these announcements and their implications for processing and interpreting vast amounts of stored and sensed data. Slides from a Brainchip briefing provided some economics for making and potential applications for AI. It said that the costs of training a single high-end model is about $6M and annual losses in manufacturing due to unplanned downtime were about $50B. In terms of the opportunity, about 1TB is generated by an autonomous car per day and there is about a $1.1T cost of healthcare and lost productivity due to preventable chronic disease. A PWC report projects $15.7T in global GDP benefit from AI in 2030 and Forbes Business Insights projects $1.2T in AI internet of things (AIoT) revenue by that year.
To help enable this opportunity, Brainchip announced its 2nd generation of its akida IP Platform. The figure below from the briefing seems to show that this platform may be using chiplet technology that integrates the Akita Neuron Fabric chiplet to perform various functions.
Brainchip akida neural network processor
BRAINCHIP PRODUCT BRIEFING
The akida IP Platform is a digital neuromorphic event-based AI device that is capable of some learning for continuous improvement. The company says that its second-generation of Akida now includes Temporal Event Based Neural Nets (TENN)spatial-temporal convolutions that supercharge the processing of raw time-continuous streaming data, such as video analytics, target tracking, audio classification, analysis of MRI and CT scans for vital signs prediction, and time series analytics used in forecasting, and predictive maintenance. The second-generation device also supports Vision Transformers (ViT acceleration, a neural network that is capable of many computer vision tasks, such as image classification, object detection, and semantic segmentation
Brainchip says that these devices are extremely energy-efficient in running complex models. For instance, it can run RESNET-50 on the neural processor. It is capable of spatial-temporal convolutions for handling 3D data. It enables advanced video analytics and predictive analysis of raw time series data. It allows low-power support for vision transformation for edge AIoT.
The akida product is being offered in three types of packages. The akida-E is the smallest and lowest power with 1-4 nodes and is designed for sensor inference and is used for detection and classification. The Akida-S with 2-8 nodes, includes a microprocessor with sensor fusion and includes application system on chips (SoCs) and is used for detection and classification working with a system CPU. The akida-P with 8-128 nodes, is the company’s maximum performance package. It is designed for network edge inference and neural network accelerators and can be used for classification, detection, segmentation and prediction with hardware accelerators.
Brainchip akida products
BRAINCHIP PRODUCT BRIEFING
Brainchip believes its akida IP packages can serve many applications including industrial uses such as predictive maintenance, manufacturing management, robotics and automation and security management. In vehicles it can enhance the in-cabin experience, provide real-time sensing, enhance the electronic control unit (ECU) and provide an intuitive human machine interface (HMI). For health and wellness applications it can provide vital-signs prediction, sensory augmentation, chronic disease monitoring and fitness and training augmentation. For home consumers it can augment security and surveillance, intelligent home automation, personalization and privacy and provide proactive maintenance.
Hailo announced its Hailo-15 family of high-performance vision processors, designed for integration into intelligent cameras for video processing and analytics at the edge. The image below shows an image of the Hailo VPU package. The company says that Hailo-15 allows smart city operators can more quickly detect and respond to incidents; manufacturers can increase productivity and machine uptime; retailers can protect supply chains and improve customer satisfaction; and transportation authorities can recognize everything from lost children, to accidents, to misplaced luggage.
Image of Hailo Visual Processing Unit
HAILO PRODUCT ANNOUNCEMENT
The Hailo-15 visual processing unit (VPU) family includes three variants — the Hailo-15H, Hailo-15M, and Hailo-15L. Hailo devices also include neural networking cores. These devices are designed to meet the varying processing needs and price points of smart camera makers and AI application providers. The product support from 7 TOPS (Tera Operation per Second) up to 20 TOPS. The company says that all Hailo-15 VPUs support multiple input streams at 4K resolution and combine a powerful CPU and DSP subsystems with Hailo’s AI core. The Hailo-15H is capable of running the object detection model YoloV5M6 with high input resolution (1280x1280) at real time sensor rate, or the industry classification model benchmark, ResNet-50, at an 700 FPS.
The Hailo-15H is capable of running the state-of-the-art object detection model YoloV5M6 with high input resolution (1280x1280) at real time sensor rate, or the industry classification model benchmark, ResNet-50, at an extraordinary 700 FPS. The figure below shows the block diagram for the Hailo device.
Hailo VPU Block Diagram
HAILO DATA SHEET
This is an industrial SoC with interfaces for image sensors, data and memory. It utilizes a Yoto-based Linux distribution and provides secure boot and debug with a hardware accelerated crypto library including TrustZone, and a true random number generation (TRNG) and Firewall. Hailo says that the low power consumption of these devices enables implementation without an active cooling system (e.g. a fan), making it useful in industrial and outdoor applications.
AI provides ways to process the vast amounts of stored and generated data by creating models and running them on inference engines in devices and at the network edge. Brainchip and Hailo recently announced neural network-based AI inference devices for industrial, medical, consumer, smart cities and other applications that could augment human abilities.
Vivotek unveils edge computing facial recognition camera | Biometric Update
A trio of edge AI developers have revealed new technologies that bring biometric storage and processing close to the place of application.
AI Inference Processes Data And Augments Human Abilities
AI provides ways to process the vast amounts of data by creating models and running them on inference engines in devices and at the network edge. Brainchip and Hailo recently announced neural network-based AI inference devices that could augment human abilities.
www.forbes.com
Vivotek unveils edge computing facial recognition camera
Mar 22, 2023, 4:18 pm EDT | Larisa RedinsCATEGORIES Biometric R&D | Biometrics News | Facial Recognition
A trio of edge AI developers have revealed new technologies that bring biometric storage and processing close to the place of application. They include a new camera from Vivotek, a family of vision-processing chips from Hailo, and a real-time data processing platform from BrainChip.
Vivotek has launched its first facial recognition camera, FD9387-FR-v2, that combines edge computing to identify gender and age from video footage even when people wear masks. The company says it can store up to 10,000 profiles with a 99 percent accuracy rate and is compliant with the U.S. National Defense Authorization Act.
The FD9387-FR-v2 Facial Recognition Camera from Vivotek integrates the SAFR Inside AI facial recognition platform from RealNetworks, Inc.
Features include real-time facial detection and tracking, early warning of strange faces, image privacy mode for sensitive areas, strong cybersecurity protection with encrypted data storage and transmission.
The Vivotek FD9387-FR-v2 Facial Recognition Camera suits building banks’, retailers, and buildings’ automation/access control systems. For example, it can integrate with business intelligence (BI) services to send real-time notifications when VIP customers enter the store.
Additionally, it helps track traffic in and out of smart buildings, adding an extra layer of security. Unauthorized visitors can be reported and recorded for future reference.
Hailo introduces new vision processor for edge-based smart cameras
Hailo, a chipmaker for edge AI processors, has released its Hailo-15 family of vision processors. These high-performance chips can be integrated into cameras to provide advanced video processing and analytics at the edge.According to the company, Hailo-15 offers deep learning video processing and AI performance, allowing it to be used by city operators, manufacturers, retailers and transportation authorities for various applications. It can help improve safety and security, increase productivity and machine uptime, protect supply chains, and detect incidents quickly.
“With this launch, we are leveraging our leadership in edge solutions, which are already deployed by hundreds of customers worldwide; the maturity of our AI technology; and our comprehensive software suite to enable high-performance AI in a camera form factor,” states Orr Danon, the CEO of Hailo.
The Hailo-15 VPU family has three variants (Hailo-15H, Hailo-15M, and Hailo-15L) to meet different processing requirements. With performance up to 20 TOPS, the company says it enables over 5x higher performance than existing solutions at a comparable price point.
According to the company, this AI-based video analytic solution provides enhanced safety, privacy and cost-efficiency to organizations while reducing the complexity of network infrastructure.
Hailo also claims that its low-power, fanless processors are well-suited to industrial and outdoor applications where dirt or dust may otherwise impact reliability.
“With a single software stack for all our product families, camera designers, application developers, and integrators can now benefit from an easy and cost-effective deployment supporting more AI, more video analytics, higher accuracy, and faster inference time, exactly where they’re needed,” adds Danon.
Hailo will demonstrate its Hailo-15 AI vision processor at ISC-West in Las Vegas, Nevada, from March 28-31.
The company began a collaboration with Innovatrics on facial recognition late last year.
BrainChip unveils second-generation Akida platform
BrainChip Holdings Ltd. has announced the second generation of its Akida platform. It drives hyper-efficient and intelligent edge AIoT devices with advanced capabilities such as 8-bit processing, time domain convolutions and vision transformer acceleration.“We see an increasing demand for real-time, on-device intelligence in AI applications powered by our MCUs and the need to make sensors smarter for industrial and IoT devices,” says Roger Wendelken, the senior vice president in Renesas’ IoT and Infrastructure Business Unit.
Applications that can benefit from fast vision transformation include facial recognition and other biometrics.
Akida’s second-generation technology features Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions, which can efficiently process raw time-continuous streaming data. The technology enables more straightforward implementations while providing high accuracy and a lower development cost and is suitable for use in industrial, automotive, digital health, smart home, and smart city applications.
Akida’s second generation also offers Vision Transformers (ViT) acceleration. This neural network excels in computer vision tasks such as object detection and semantic segmentation, BrainChip says. Akida’s ability to process multiple layers simultaneously and hardware support for skip connections enables it to self-manage complex networks like RESNET-50 entirely within the neural processor without CPU intervention and reduces system load.
“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,” says Wendelken.
AI Inference Processes Data And Augments Human Abilities
Tom CoughlinContributor
Follow
0
Mar 11, 2023,02:11pm EST
https://policies.google.com/privacy
Arficial Intelligence
GETTY
Artificial Intelligence (AI) has been making headlines over the past few months with the widespread use and speculation about generative AI, such as Chat GPT. However, AI is a broad topic covering many algorithmic approaches to mimic some of the capabilities of human beings. There is a lot of work going on to use various types of AI to assist humans in their various activities. Note that all AI has limitations. It generally doesn’t reason, like we do and it is generally best at recognizing patterns and using that information to create conclusions or recommendations. Thus, AI must be used with caution and not used to form conclusions beyond what it is capable of analyzing. Also, AI must be tested to make sure it is not biased based upon the training sets used to create the AI algorithms.
AI comes in big and small packages. Much of the training is done in data centers, where vast stored information and sophisticated processing of that information can be used to train AI models. However, once a model is created it can be used to interpret information collected locally via sensors, cameras, microphones and other data sources to make inferences that can help people to make informed decisions. One important application for such AI inference engines is for mobile and consumer devices that may be used for biometric monitoring, voice and image recognition and many other purposes. Inference engines can also be used to improve manufacturing and various office tasks. AI inference engines are also an important component in driving assistance and autonomous vehicles, enabling lane departure detection and collision avoidance, and other capabilities.
There have been some recent announcements for AI inference engine chips from Brainchip and Hailo. Let’s look at these announcements and their implications for processing and interpreting vast amounts of stored and sensed data. Slides from a Brainchip briefing provided some economics for making and potential applications for AI. It said that the costs of training a single high-end model is about $6M and annual losses in manufacturing due to unplanned downtime were about $50B. In terms of the opportunity, about 1TB is generated by an autonomous car per day and there is about a $1.1T cost of healthcare and lost productivity due to preventable chronic disease. A PWC report projects $15.7T in global GDP benefit from AI in 2030 and Forbes Business Insights projects $1.2T in AI internet of things (AIoT) revenue by that year.
To help enable this opportunity, Brainchip announced its 2nd generation of its akida IP Platform. The figure below from the briefing seems to show that this platform may be using chiplet technology that integrates the Akita Neuron Fabric chiplet to perform various functions.
Brainchip akida neural network processor
BRAINCHIP PRODUCT BRIEFING
The akida IP Platform is a digital neuromorphic event-based AI device that is capable of some learning for continuous improvement. The company says that its second-generation of Akida now includes Temporal Event Based Neural Nets (TENN)spatial-temporal convolutions that supercharge the processing of raw time-continuous streaming data, such as video analytics, target tracking, audio classification, analysis of MRI and CT scans for vital signs prediction, and time series analytics used in forecasting, and predictive maintenance. The second-generation device also supports Vision Transformers (ViT acceleration, a neural network that is capable of many computer vision tasks, such as image classification, object detection, and semantic segmentation
Brainchip says that these devices are extremely energy-efficient in running complex models. For instance, it can run RESNET-50 on the neural processor. It is capable of spatial-temporal convolutions for handling 3D data. It enables advanced video analytics and predictive analysis of raw time series data. It allows low-power support for vision transformation for edge AIoT.
The akida product is being offered in three types of packages. The akida-E is the smallest and lowest power with 1-4 nodes and is designed for sensor inference and is used for detection and classification. The Akida-S with 2-8 nodes, includes a microprocessor with sensor fusion and includes application system on chips (SoCs) and is used for detection and classification working with a system CPU. The akida-P with 8-128 nodes, is the company’s maximum performance package. It is designed for network edge inference and neural network accelerators and can be used for classification, detection, segmentation and prediction with hardware accelerators.
Brainchip akida products
BRAINCHIP PRODUCT BRIEFING
Brainchip believes its akida IP packages can serve many applications including industrial uses such as predictive maintenance, manufacturing management, robotics and automation and security management. In vehicles it can enhance the in-cabin experience, provide real-time sensing, enhance the electronic control unit (ECU) and provide an intuitive human machine interface (HMI). For health and wellness applications it can provide vital-signs prediction, sensory augmentation, chronic disease monitoring and fitness and training augmentation. For home consumers it can augment security and surveillance, intelligent home automation, personalization and privacy and provide proactive maintenance.
Hailo announced its Hailo-15 family of high-performance vision processors, designed for integration into intelligent cameras for video processing and analytics at the edge. The image below shows an image of the Hailo VPU package. The company says that Hailo-15 allows smart city operators can more quickly detect and respond to incidents; manufacturers can increase productivity and machine uptime; retailers can protect supply chains and improve customer satisfaction; and transportation authorities can recognize everything from lost children, to accidents, to misplaced luggage.
Image of Hailo Visual Processing Unit
HAILO PRODUCT ANNOUNCEMENT
The Hailo-15 visual processing unit (VPU) family includes three variants — the Hailo-15H, Hailo-15M, and Hailo-15L. Hailo devices also include neural networking cores. These devices are designed to meet the varying processing needs and price points of smart camera makers and AI application providers. The product support from 7 TOPS (Tera Operation per Second) up to 20 TOPS. The company says that all Hailo-15 VPUs support multiple input streams at 4K resolution and combine a powerful CPU and DSP subsystems with Hailo’s AI core. The Hailo-15H is capable of running the object detection model YoloV5M6 with high input resolution (1280x1280) at real time sensor rate, or the industry classification model benchmark, ResNet-50, at an 700 FPS.
The Hailo-15H is capable of running the state-of-the-art object detection model YoloV5M6 with high input resolution (1280x1280) at real time sensor rate, or the industry classification model benchmark, ResNet-50, at an extraordinary 700 FPS. The figure below shows the block diagram for the Hailo device.
Hailo VPU Block Diagram
HAILO DATA SHEET
This is an industrial SoC with interfaces for image sensors, data and memory. It utilizes a Yoto-based Linux distribution and provides secure boot and debug with a hardware accelerated crypto library including TrustZone, and a true random number generation (TRNG) and Firewall. Hailo says that the low power consumption of these devices enables implementation without an active cooling system (e.g. a fan), making it useful in industrial and outdoor applications.
AI provides ways to process the vast amounts of stored and generated data by creating models and running them on inference engines in devices and at the network edge. Brainchip and Hailo recently announced neural network-based AI inference devices for industrial, medical, consumer, smart cities and other applications that could augment human abilities.
Never did like the taste.
Fact Finder
Top 20
May have been posted but a good reminder to keep a watch for confirmation of whose Ai Renesas teamed up with ARM's M85 Cortex processor and the size of the MCU market that Renesas supplies each year and growing:
IoT - Internet of Things
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March 12, 2023
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Renesas Electronics Corporation will present the first live demonstrations of artificial intelligence (AI) and machine learning (ML) implementations on an MCU based on the Arm® Cortex®-M85 processor. The demos will show the performance uplift in AI/ML applications made possible by the new Cortex-M85 core and Arm’s Helium technology. They will take place in the Renesas stand – Hall 1, Stand 234 (1-234) at the embedded world 2023 Exhibition and Conference in Nuremburg, Germany from March 14-16.
At embedded world in 2022, Renesas became the first company to demonstrate working silicon based on the Arm Cortex-M85 processor. This year, Renesas is extending its leadership by showcasing the features of the new processor in demanding AI use cases. The first demonstration showcases a people detection application developed in collaboration with Plumerai, a leader in Vision AI, that identifies and tracks persons in the camera frame in varying lighting and environmental conditions. The compact and efficient TinyML models used in this application lead to low-cost and lower power AI solutions for a wide range of IoT implementations. The second demo showcases a motor control predictive maintenance use case with an AI-based unbalanced load detection application using Tensorflow Lite for Microcontrollers with CMSIS-NN.
Delivering over 6 CoreMark/MHz, Cortex-M85 enables demanding IoT use cases that require the highest compute performance and DSP or ML capability, realized on a single, simple-to-program Cortex-M processor. The Arm Cortex-M85 processor features Helium technology, Arm’s M-Profile Vector Extension, available as part of the Armv8.1M architecture. It delivers a significant performance uplift for machine learning (ML) and digital signal processing (DSP) applications, accelerating compute-intensive applications such as endpoint AI. Both demos will showcase the performance uplift made possible by the application of this technology in AI use cases. Cortex-M hallmarks such as deterministic operation, short interrupt response time, and state-of-the-art low-power support are uncompromised on Cortex-M85.
“We’re proud to again lead the industry in implementing the powerful new Arm Cortex-M85 processor with Helium technology,” said Roger Wendelken, Senior Vice President in Renesas’ IoT and Infrastructure Business Unit. “By showcasing the performance of AI on the new processor, we are highlighting technical advantages of the new platform and at the same time demonstrating Renesas’ strengths in providing solutions for emerging applications with our innovative ecosystem partners.”
“We’re excited to take part in this ground-breaking demonstration,” said Roeland Nusselder, CEO of Plumerai. “Arm’s Helium technology supported on the new RA MCUs with the Cortex-M85 core significantly accelerates the Plumerai inference engine. This performance uplift will enable our customers to use larger and more accurate versions of Plumerai’s People Detection AI, add additional product features, and extend battery life. Our customers have an insatiable appetite for adding new and more accurate AI features that run on a microcontroller. Together with Renesas, we are the first to fulfill this demand.”
Renesas will implement the new Arm processor within its RA (Renesas Advanced) Family of MCUs. Renesas has quickly become a leader in the Arm MCU market, offering a feature rich family of over 250 different MCUs. Renesas has developed a robust ecosystem of partners providing customers with comprehensive solutions for IoT, AI/ML, industrial automation, medical, building automation, home appliance and multiple other applications.
The new Cortex-M85 core supports Arm TrustZone® technology for protection of secure assets. Combined with TrustZone, Renesas’ integrated cryptographic engine, immutable storage, key management, and tamper protection against DPA/SPA side-channel attacks will provide a comprehensive and fully integrated secure element functionality. The Armv8-M architecture also brings Pointer Authentication/Branch Target Identification (PAC/BTI) security extension, a new architectural feature that provides enhanced mitigation from software attack threats and helps achieve PSA Certified Level 2 certification.
The new RA MCUs based on the Cortex-M85 core will be supported by Renesas’ Flexible Software Package (FSP). The FSP enables faster application development by providing all the infrastructure software needed, including multiple RTOS, BSP, peripheral drivers, middleware, connectivity, networking, and security stacks as well as reference software to build complex AI, motor control and graphics solutions. It allows customers to integrate their own legacy code and choice of RTOS with FSP, thus providing full flexibility in application development. Using the FSP will ease migration of existing designs to the new RA devices.
My opinion only DYOR
FF
AKIDA BALLISTA
Renesas to Demonstrate First AI Implementations on the Arm Cortex-M85 Processor Featuring Helium Technology at Embedded World
ByIoT - Internet of Things
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March 12, 2023
https://www.facebook.com/sharer.php...g-helium-technology-at-embedded-world-2023-03
https://twitter.com/intent/tweet?te...echnology-at-embedded-world-2023-03&via=IoTdo
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Renesas Electronics Corporation will present the first live demonstrations of artificial intelligence (AI) and machine learning (ML) implementations on an MCU based on the Arm® Cortex®-M85 processor. The demos will show the performance uplift in AI/ML applications made possible by the new Cortex-M85 core and Arm’s Helium technology. They will take place in the Renesas stand – Hall 1, Stand 234 (1-234) at the embedded world 2023 Exhibition and Conference in Nuremburg, Germany from March 14-16.
At embedded world in 2022, Renesas became the first company to demonstrate working silicon based on the Arm Cortex-M85 processor. This year, Renesas is extending its leadership by showcasing the features of the new processor in demanding AI use cases. The first demonstration showcases a people detection application developed in collaboration with Plumerai, a leader in Vision AI, that identifies and tracks persons in the camera frame in varying lighting and environmental conditions. The compact and efficient TinyML models used in this application lead to low-cost and lower power AI solutions for a wide range of IoT implementations. The second demo showcases a motor control predictive maintenance use case with an AI-based unbalanced load detection application using Tensorflow Lite for Microcontrollers with CMSIS-NN.
Delivering over 6 CoreMark/MHz, Cortex-M85 enables demanding IoT use cases that require the highest compute performance and DSP or ML capability, realized on a single, simple-to-program Cortex-M processor. The Arm Cortex-M85 processor features Helium technology, Arm’s M-Profile Vector Extension, available as part of the Armv8.1M architecture. It delivers a significant performance uplift for machine learning (ML) and digital signal processing (DSP) applications, accelerating compute-intensive applications such as endpoint AI. Both demos will showcase the performance uplift made possible by the application of this technology in AI use cases. Cortex-M hallmarks such as deterministic operation, short interrupt response time, and state-of-the-art low-power support are uncompromised on Cortex-M85.
“We’re proud to again lead the industry in implementing the powerful new Arm Cortex-M85 processor with Helium technology,” said Roger Wendelken, Senior Vice President in Renesas’ IoT and Infrastructure Business Unit. “By showcasing the performance of AI on the new processor, we are highlighting technical advantages of the new platform and at the same time demonstrating Renesas’ strengths in providing solutions for emerging applications with our innovative ecosystem partners.”
“We’re excited to take part in this ground-breaking demonstration,” said Roeland Nusselder, CEO of Plumerai. “Arm’s Helium technology supported on the new RA MCUs with the Cortex-M85 core significantly accelerates the Plumerai inference engine. This performance uplift will enable our customers to use larger and more accurate versions of Plumerai’s People Detection AI, add additional product features, and extend battery life. Our customers have an insatiable appetite for adding new and more accurate AI features that run on a microcontroller. Together with Renesas, we are the first to fulfill this demand.”
Renesas will implement the new Arm processor within its RA (Renesas Advanced) Family of MCUs. Renesas has quickly become a leader in the Arm MCU market, offering a feature rich family of over 250 different MCUs. Renesas has developed a robust ecosystem of partners providing customers with comprehensive solutions for IoT, AI/ML, industrial automation, medical, building automation, home appliance and multiple other applications.
The new Cortex-M85 core supports Arm TrustZone® technology for protection of secure assets. Combined with TrustZone, Renesas’ integrated cryptographic engine, immutable storage, key management, and tamper protection against DPA/SPA side-channel attacks will provide a comprehensive and fully integrated secure element functionality. The Armv8-M architecture also brings Pointer Authentication/Branch Target Identification (PAC/BTI) security extension, a new architectural feature that provides enhanced mitigation from software attack threats and helps achieve PSA Certified Level 2 certification.
The new RA MCUs based on the Cortex-M85 core will be supported by Renesas’ Flexible Software Package (FSP). The FSP enables faster application development by providing all the infrastructure software needed, including multiple RTOS, BSP, peripheral drivers, middleware, connectivity, networking, and security stacks as well as reference software to build complex AI, motor control and graphics solutions. It allows customers to integrate their own legacy code and choice of RTOS with FSP, thus providing full flexibility in application development. Using the FSP will ease migration of existing designs to the new RA devices.
Winning Combinations
Renesas will combine the new RA MCUs with numerous compatible devices from its portfolio to offer a wide array of Winning Combinations. These Winning Combinations are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 300 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly. They can be found at renesas.com/win.Renesas MCU Leadership
A world leader in MCUs, Renesas ships more than 3.5 billion units per year, with approximately 50% of shipments serving the automotive industry, and the remainder supporting industrial and Internet of Things applications as well as data center and communications infrastructure. Renesas has the broadest portfolio of 8-, 16- and 32-bit devices, and is the industry’s No. 1 supplier of both 16- and 32-bit MCUs, delivering unmatched quality and efficiency with exceptional performance. As a trusted supplier, Renesas has decades of experience designing smart, secure MCUs, backed by a dual-source production model, the industry’s most advanced MCU process technology and a vast network of more than 200 ecosystem partners."My opinion only DYOR
FF
AKIDA BALLISTA
Do you guys remember back in the days when people were digging out procurement applications/numbers from NASA (or NASA partnersand stuff like to find traces that people were actually using Akira IP....
What a transformation when you look back a couple of years!
And what's exciting is I believe the company that this is only the start of our ramping up to ubiquitous adoption. Now we are getting awards, 2 years from now Akida 2.0 so widespread it's boring? Guess then we have to start taking awards with Akida 3.0
Um gonna go out on a limb here and get bashed down lol. I think once we received this wonderful news regarding AI award management should have put out a nps announcement on the ASX. I don't care about the SP movement I just think it would have been a great advertisement for the company. Management are doing a disservice to non holders as many are very likely not aware of who we are and what our potential is. Instead of being able to buy now at 45c, they'll hear about us when things really start to ramp up, but they'll likely miss the opportunity of 1-2 times their investment if they'd been able to DTOR from this point. We all know about BRN, there are plenty who have NFI at all. (And yes in turn, management are also helping current SH). Of course IMO only, but this surely fits into a NPS ann on the ASX as not just fluff. The who's who of the industry was there, so it's not just some lucky dip they won. Look at the post earlier showing who was congratulating Anil! I don't normally feel this way, but only saw the news this arvo as no Ann was on the ASX when I checked earlier on the golf course today. (For those interested, 3 bogeys and 4 birdies, thx lol.)
alwaysgreen
Top 20
I personally don't think the market cares about the award.
Everyone knows the tech is amazing at this point. Everyone knows there is interest from NASA, Ford, Valeo etc. Everyone knows we have agreements with Renasas, Megachips and likely Mercedes (through Megachips).
The accolades of the award are great and a fantastic achievement but I think non-price sensitive announcements are a waste of time at this stage. All the market wants to see are commercial agreements and lots of them.
I wouldn't even waste the compliance or Marketing etc time worrying about releasing non-sensitive announcements. Focus on sales and R&D and get the real announcements front and centre.
Xhosa12345
Regular
Fact Finder
Top 20
I just stumbled across this article by Teksun in 2018. To me it is Teksun foretelling their future once they discovered Brainchip's AKIDA technology solution. If that is too third dimension for you then some might well see it as a visionary business plan:
My opinion only DYOR
FF
AKIDA BALLISTA
Teksun
Feb 21, 2018
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3 min read
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Listen
IoT Plays Major Role in Semiconductor Industry
IoT Plays Major Role in Semiconductor Industry — Teksun
Wireless connectivity is all over the world. At present embedded devices have the capability to communicate and transform simple dedicated devices into “connected Smart Devices”. The variety of “smart” applications fall into this broad and growing extensive category. They include some category such as Retail, IT, Health, BioScience, Industrial and networking don’t need to mention consumer and home.
Role of IoT in world
Visualize a world where all the things become smart and connected. A world where each item — from washing machines to light switches, wristwatches to sports shoes — can give valuable information that makes our life easy and simple. Where a great many wireless sensor systems can help streamlines crop planting and water systems, forest fire conditions, regulate city water systems and automobile traffic. That’s the known world of the Internet of Everything (IoE).
IoT’s significance in Semiconductor Industry
It has great significance to chip developers. Semiconductors are very important to transforming its dream into reality, from processors and microcontrollers to cell/wireless chips, the sensors and actuators that allow things to adapt seamlessly to their environment. For the semiconductor industry, it is a new revolutionary innovative technology, it requires an extraordinary mixture of high performance and volume.The demand of growing device with the help of Internet of Things (IoT) highlight, the Ethernet and different remote interface, for example, ZigBee & Bluetooth are included in incorporating microcontroller chips that are relied upon to be required after in 2017 and 2018.
There are numerous new microcontrollers, remote and sensors that allow these small IoT gadgets. All IoT gadgets will be wireless because of the cost and inconvenience of wiring these gadgets.
The innovative driving technologies — ultra-low-control processors, minor mobile sensors and wireless networking — are altogether accessible today. Industry pioneers like Intel, Hewlett-Packard, Qualcomm, Bosch and Texas Instruments anticipate versatile sensor requests that will ascend from billions per year today to trillions per year by 2025. What’s more, as per Cisco IoE growth will create $14.4 trillion in esteem — over each industry — throughout the following decade.
As per the IoT market requirements, many semiconductor industries choose the innovative techniques and new methodologies forcefully. Before applying these techniques they should first find out which techniques and applications are increasing strength and which are rapidly boosting company’s growth and a return on investment.
While semiconductor industries could possibly capture growth in numerous IoT verticals, six of the most popular market sectors included are the following:
• Wearable devices such as Health Care & Fitness Accessories
• Smart-home applications for Home Automation using Lighting control system
• Medical Electronics Device
• Industrial Automation including task such Concept to Prototype development, Prototype feature list finalization & Created test modules for ADC, LCD, UART.
• Connected Cars
• Smart Cities with Application that assists with traffic sensor, public safety, surveillance camera, Parking spot and many other public sectors.
Final Note: Many researchers recommend that the Internet of Things is a really big opportunity for semiconductor industries — one that they should begin following now, while the area is still developing. But we found that the planning and the magnitude of the IoT’s growth may depend upon how rapidly industry players can address a few obstacles, including insufficient security assurances, restricted client requests, marketplace fragmentations, lack of standards and technology barriers. Semiconductor industries which have experienced comparative issues in other emerging innovation, technology sectors are well positioned to serve as leaders in resolving these issues.
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