DingoBorat
Slim
You're just lucky this ain't a Western pal..Beat me to it Dingo.
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You're just lucky this ain't a Western pal..Beat me to it Dingo.
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Mrs reckons I shoot too quick but not very accurate.
Today I will be an observer ā¦ letās watch amateurs
For fun, I pasted this article into ChatGPT (free version) and asked it which company listed in the article would most likely be the first to sign a contract with Brainchip.View attachment 75404
BrainChip Unveils Edge AI Box Partner Ecosystem for Gestures, Cybersecurity, Image Recognition, and Computer Vision
Laguna Hills, Calif. ā January 7th, 2025 ā BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the worldās first commercial producer of ultra-low power, fully digital, event-based, brain-inspired AI, today announced an all-star lineup of partners developing revolutionary technology demonstrations and products with the Akidaā¢ Edge AI Box, a compact, cost-effective appliance with AI/ML processing power for a wide variety of markets such as manufacturing, warehouse, retail, hospitals, energy, automotive, and aviation. The Akida Edge AI box is an embedded Linux solution with Ethernet, Bluetooth, and USB interfaces to provide a complete edge AI computing platform based on Brainchipās Akida AKD1000 IC.
Brainchip developed the Akida Edge AI Box in partnership with VVDN Technologies, a premier electronics innovation and manufacturing company. VVDN produces the Brainchip Akida Edge AI Box Developer Kit and can develop custom versions of the product with OEMs for volume commercial applications. VVDN, based in Gurgaon, India and Fremont, Calif., offers worldwide service with eleven advanced R&D centers and offices in the U.S., Canada, Europe, Vietnam, South Korea, and Japan.
Companies that are delivering edge AI use case demonstrations and/or products executing on BrainChipās Edge AI Box include:
Edge AI Model training and development with Edge Impulse, demonstrating how easy it is to build and deploy custom machine learning models directly on the Akida Edge AI box.
Gesture recognition by BeEmotion, an innovator at the intersection of AI and human behavior that provides cutting-edge solutions to enhance interaction, prevent accidents, and bring enjoyment to the everyday use of technology.
Climate change solutions to forecast and gain visibility into contributors to climate change such as emissions, developed by AI Labs, a pioneer in AI, robotic process automation, and software development.
Model evaluation to streamline the AI workflow from experts at DeGirum, a leader in AI innovation with comprehensive solutions that simplify and accelerate the adoption of AI at the edge.
Cybersecurity engineered by Quantum Ventura Inc., provider of advanced R&D to the federal government in fields such as machine learning, hyperspectral imaging, cybersecurity, computer vision, and synthetic aperture radar, is demonstrating their CyberNeuro-RT (CNRT) technology, an AI/ML-driven, highly-scalable, real-time network defense & threat intelligence tool.
Computer vision analysis by Vedya Labs, an AI accelerator in edge, embedded systems, Gen AI, SDKs/toolchains, and developer of AI models, applications, optimization, libraries, and more will be demonstrating video object detection models.
āThe Akida Edge Box is a great platform for running AI in standalone edge environments where footprint, cost and efficiency is critical, while not compromising performance,ā said Sean Hehir, BrainChip CEO. āWe look forward to announcing more partners developing edge AI for their customersā specific use cases and more importantly, we look forward to the ideas these companies will bring to life with the Akida Edge AI Box.ā
The Akida Edge AI Box puts BrainChipās event-based neural processing, which closely mimics the learning ability of the human brain, into energy-efficient, portable hardware, to deliver powerful AI computing performance that surpasses market standards for edge AI computing appliances. Dual Akida processors perform on-chip learning, independent of the cloud, for application security, reduced training overhead, and faster learning. The Akida Edge AI Box is so cost-effective it can be utilized in production applications: in every patientās room to monitor their health and safety; in every store aisle to gauge shopping experience; in every car, truck, boat, or plane in the fleet to manage logistics.
BrainChipās Akida is an event-based computing platform ideal for early detection, low-latency solutions without massive compute resources for robotics, drones, automotive and traditional sense-detect-classify-track solutions. BrainChip provides a range of software, hardware, and IP products for integration into existing and future designs, with a roadmap for customers to deploy multi-modal AI models at the edge.
Eat meat,,![]()
Samsungās smart fridges will use AI to suggest groceries to buy on Instacart
More milk, please.www.theverge.com
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Chandra Maloo on LinkedIn: Samsungās smart fridges will use AI to suggest groceries to buy onā¦
Back in 2019 our team always discussed grocery replenishment as the natural next step for AI Vision Inside technology in Samsung Family Hub refrigeratorsā¦www.linkedin.com
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Why should Akida be inside of these fridges? They seem to be cloud connected and the energy savings shouldnt be too relevant since the energy consumption of the fridges control center is negligible compared to the consumption of the compressor.Eat meat,,
You may not die from plant based cancers....
but a good start.....
Akida can't save you from a poor diet!!!!
That would be 555 times as fast with Akida on board.Hey Gang!
I took some time out from my undercover ops - hiding behind pot plants at CES 2025, to do some reading and stumbled upon this NASA article published yesterday.
From the areas I've highlighted in orange, you can see that NASA's recently updated inventory consists of a few AI use cases describing autonomous navigation for the Perseverance Rover on Mars. I hadn't heard the term "Mars2020 Rover" referenced before and so I searched for it on TSEx and sure enough nothing came up.
What I thought of immediately was the 2020 SBIR, which I have posted below for your convenience, which described how AKIDA was to potentially be utilised to make autonomous rovers travel faster. So it occurred to me that this 2020 SBIR which AKIDA was featured in might be part of the whole "Mars2020 Rover" thingamajig.
I had a quick Google search under "Mars2020 Rover" and I found this NASA Fact Sheet from 2019. The second page states "A new autonomous navigation system will allow the rover to drive faster in challenging terrain", which 100% ties into the goals described in the 2020 SBIR!
Oh, and I might as well also add that the whole NASA High Performance Spaceflight Computer (HPSC) that I've been so obsessed about and in which I'm convinced our tech will be incorporated into at some point in time, well... the HPSC runs the software that controls the spacecraft's various subsystems, such as navigation, communication, power management, etc.
The HPSC processor which is being built by Microchip and will be utilising SiFive's 'Intelligence' X280 core. NASA has stated previously that initial availability will be sometime in 2024 (which didn't occur obviously, so maybe it will be ready this year) and the chip won't just be for space missions but is also expected to be utilised in applications on Earth such as defense, commercial aviation, robotics and medical equipment.
NASAās AI Use Cases: Advancing Space Exploration with Responsibility
Kate Halloran
Jan 07, 2025
Article
Contents
NASA's 2024 AI Use Case inventory highlights the agencyās commitment to integrating artificial intelligence in its space missions and operations. The agencyās updated inventory consists of active AI use cases, ranging from AI-driven autonomous space operations, such as navigation for the Perseverance Rover on Mars, to advanced data analysis for scientific discovery.
NASAās 2024 AI Use Case inventory highlights the agencyās commitment to integrating artificial intelligence in its space missions and operations. The agencyās updated inventory consists of active AI use cases, ranging from AI-driven autonomous space operations, such as navigation for the Perseverance Rover on Mars, to advanced data analysis for scientific discovery.
AI Across NASA
NASAās use of AI is diverse and spans several key areas of its missions:
Autonomous Exploration and Navigation
- AEGIS (Autonomous Exploration for Gathering Increased Science): AI-powered system designed to autonomously collect scientific data during planetary exploration.
- Enhanced AutoNav for Perseverance Rover: Utilizes advanced autonomous navigation for Mars exploration, enabling real-time decision-making.
- MLNav (Machine Learning Navigation): AI-driven navigation tools to enhance movement across challenging terrains.
- Perseverance Rover on Mars ā Terrain Relative Navigation: AI technology supporting the roverās navigation across Mars, improving accuracy in unfamiliar terrain.
Mission Planning and Management
- ASPEN Mission Planner: AI-assisted tool that helps streamline space mission planning and scheduling, optimizing mission efficiency.
- AWARE (Autonomous Waiting Room Evaluation): AI system that manages operational delays, improving mission scheduling and resource allocation.
- CLASP (Coverage Planning & Scheduling): AI tools for resource allocation and scheduling, ensuring mission activities are executed seamlessly.
- Onboard Planner for Mars2020 Rover: AI system that helps the Perseverance Rover autonomously plan and schedule its tasks during its mission.
Environmental Monitoring and Analysis
- SensorWeb for Environmental Monitoring: AI-powered system used to monitor environmental factors such as volcanoes, floods, and wildfires on Earth and beyond.
- Volcano SensorWeb: Similar to SensorWeb, but specifically focused on volcanic activity, leveraging AI to enhance monitoring efforts.
- Global, Seasonal Mars Frost Maps: AI-generated maps to study seasonal variations in Marsā atmosphere and surface conditions.
Data Management and Automation
- NASA OCIO STI Concept Tagging Service: AI tools that organize and tag NASAās scientific data, making it easier to access and analyze.
- Purchase Card Management System (PCMS): AI-assisted system for streamlining NASAās procurement processes and improving financial operations.
Aerospace and Air Traffic Control
- NextGen Methods for Air Traffic Control: AI tools to optimize air traffic control systems, enhancing efficiency and reducing operational costs.
- NextGen Data Analytics: Letters of Agreement: AI-driven analysis of agreements within air traffic control systems, improving management and operational decision-making.
Space Exploration
- Mars2020 Rover (Perseverance): AI systems embedded within the Perseverance Rover to support its mission to explore Mars.
- SPOC (Soil Property and Object Classification): AI-based classification system used to analyze soil and environmental features, particularly for Mars exploration.
Ethical AI: NASAās Responsible Approach
NASA ensures that all AI applications adhere to Responsible AI (RAI) principles outlined by the White House in its Executive Order 13960. This includes ensuring AI systems are transparent, accountable, and ethical. The agency integrates these principles into every phase of development and deployment, ensuring AI technologies used in space exploration are both safe and effective.
Looking Forward: AIās Expanding Role
As AI technologies evolve, NASAās portfolio of AI use cases will continue to grow. With cutting-edge tools currently in development, the agency is poised to further integrate AI into more aspects of space exploration, from deep space missions to sustainable solutions for planetary exploration.
By maintaining a strong commitment to both technological innovation and ethical responsibility, NASA is not only advancing space exploration but also setting an industry standard for the responsible use of artificial intelligence in scientific and space-related endeavors.
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Mars2020 Fact Sheet
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NASA's AI Use Cases: Advancing Space Exploration with Responsibility - NASA
NASA's 2024 AI Use Case inventory highlights the agencyās commitment to integrating artificial intelligence in its space missions and operations. The agencyāswww.nasa.gov
āBrainChipās AKD1000 chips and boards are available today for industry evaluation, development, proof of concept and demonstration platforms with the IP available to license for integration into SoCs. Releasing the AKD1000 on the M.2 form factor continues our commitment to aid developers in creating AI solutions with our Akida IPā
Post this
"with a 10-12 week shipping estimate.""BrainChip Boasts of a Strong Ecosystem for Its Akida Edge AI Box
A post-pre-order price hike to $1,495, though, puts a damper on its claims of cost efficiency for direct deployment.
Neuromorphic edge artificial intelligence (AI) specialist BrainChip is celebrating a year since it unveiled its Akida Edge AI Box development platform at the Consumer Electronics Show (CES) in Las Vegas ā and it's back in Sin City again this year to announce "an all-star lineup" of partners on the project.
"The Akida Edge Box is a great platform for running AI in standalone edge environments where footprint, cost and efficiency is critical, while not compromising performance," claims BrainChip chief executive officer Sean Hehir. "We look forward to announcing more partners developing edge AI for their customers' specific use cases and more importantly, we look forward to the ideas these companies will bring to life with the Akida Edge AI Box."
BrainChip opened orders for the Akida Edge Box, developed in partnership with VVDN, back in February last year, after showcasing the device at CES 2024. The idea: delivering a low-cost single-unit development platform for those looking to experiment with the company's Akida neuromorphic processor, with two AKD1000 chips installed in the compact device alongside an NXP Semiconductors i.MX 8M Plus system-on-chip.
While there's no new Akida Edge Box for CES 2025, BrainChip still has plenty to announce in the form of partnership on the project. The Akida Edge AI Box ecosystem now includes, the company says: support in Edge Impulse for rapid AI model development, training, and deployment; gesture recognition support from BeEmotion; climate forecasting developed by AI Labs; model evaluation from DeGirum; cybersecurity projects from Quantum Ventura; and computer vision analysis from Vedya Labs.
BrainChip is also repositioning the Akida Edge AI Box, which is priced below its previous development kits: "the Akida Edge AI Box is so cost-effective," the company claims, "it can be utilized in production applications: in every patient's room to monitor their health and safety; in every store aisle to gauge shopping experience; in every car, truck, boat, or plane in the fleet to manage logistics."
The device isn't quite as affordable as it used to be, though: pre-orders for the Akida Edge Box launched in February 2024 at just $799, but the company is currently asking for $1,495 on its official web store ā with a 10-12 week shipping estimate."
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BrainChip Boasts of a Strong Ecosystem for Its Akida Edge AI Box
A post-pre-order price hike to $1,495, though, puts a damper on its claims of cost efficiency for direct deployment.www.hackster.io
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Gareth Halfacree
Freelance journalist, technical author, hacker, tinkerer, erstwhile sysadmin.
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BrainChip Brings Neuromorphic Capabilities to M.2 Form Factor
BrainChip Brings Neuromorphic Capabilities to M.2 Form Factorwww.businesswire.com
BrainChip Brings Neuromorphic Capabilities to M.2 Form Factor
January 08, 2025 12:00 PM Eastern Standard Time
LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the worldās first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced the availability of its Akidaā¢ advanced neural networking processor on the M.2 form factor, enabling a low-cost, high-speed and low-power consumption option for those looking to build their own edge AI boxes.
BrainChipās neural processor Al IP is an event-based technology that is inherently lower power when compared to conventional neural network accelerators. BrainChip IP supports incremental learning and high-speed inference in a wide variety of use cases, such as convolutional neural networks with high throughput and unsurpassed performance in low power budgets. The AKD1000-powered boards can be plugged into the M.2 slot ā around the size of a stick of gum, with a power budget of about 1 watt ā to unlock capabilities for a wide array of edge AI applications where space and power is limited and speed is critical, including industrial, factory service centers, network access devices and more.
BrainChipās AKD1000 product is available in both B+M Key and E Key configurations of the M.2 2260 form factor. It can be purchased integrated into stand-alone Raspberry PI or Edge AI box enclosures, or for integration into custom designed products. Pricing starts at $249. Visit shop.brainchipinc.com or the Buy Now button at www.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 companyās first-to-market, fully digital, event-based AI processor, Akidaā¢, 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 locally to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be designed into SoCs on any process technology, has shown substantial benefits on todayās 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 customersā 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
Contacts
Media Contact:
Mark Smith
JPR Communications
818-398-1424
Investor Relations:
Tony Dawe
Director, Global Investor Relations
tdawe@brainchip.com
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I saw a smart watch advertised at the current CES. It's already sold out on the manufacturer's website. It doesn't say anything about delivery times."with a 10-12 week shipping estimate."
Wow, that's a lot, if that's the current wait time..
Up to 3 months..
Is that due to pent up demand?
Lack of chips?
Lengthy time of production and testing?
If it's not due to pent up demand, then having to wait that long, will hurt it and if it is, it will hurt demand going forward.
Maybe get VVDN, to stop making that Nvidia junk and concentrate on our units, if production is too slow..
"..today announced the availability of its Akidaā¢ advanced neural networking processor on the M.2 form factor, enabling a low-cost, high-speed and low-power consumption option for those looking to build their own edge AI boxes."![]()
BrainChip Brings Neuromorphic Capabilities to M.2 Form Factor
BrainChip Brings Neuromorphic Capabilities to M.2 Form Factorwww.businesswire.com
BrainChip Brings Neuromorphic Capabilities to M.2 Form Factor
January 08, 2025 12:00 PM Eastern Standard Time
LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the worldās first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced the availability of its Akidaā¢ advanced neural networking processor on the M.2 form factor, enabling a low-cost, high-speed and low-power consumption option for those looking to build their own edge AI boxes.
BrainChipās neural processor Al IP is an event-based technology that is inherently lower power when compared to conventional neural network accelerators. BrainChip IP supports incremental learning and high-speed inference in a wide variety of use cases, such as convolutional neural networks with high throughput and unsurpassed performance in low power budgets. The AKD1000-powered boards can be plugged into the M.2 slot ā around the size of a stick of gum, with a power budget of about 1 watt ā to unlock capabilities for a wide array of edge AI applications where space and power is limited and speed is critical, including industrial, factory service centers, network access devices and more.
BrainChipās AKD1000 product is available in both B+M Key and E Key configurations of the M.2 2260 form factor. It can be purchased integrated into stand-alone Raspberry PI or Edge AI box enclosures, or for integration into custom designed products. Pricing starts at $249. Visit shop.brainchipinc.com or the Buy Now button at www.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 companyās first-to-market, fully digital, event-based AI processor, Akidaā¢, 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 locally to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be designed into SoCs on any process technology, has shown substantial benefits on todayās 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 customersā 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
Contacts
Media Contact:
Mark Smith
JPR Communications
818-398-1424
Investor Relations:
Tony Dawe
Director, Global Investor Relations
tdawe@brainchip.com
![]()
Does the higher price perhaps correlate with the delivery time?"with a 10-12 week shipping estimate."
Wow, that's a lot, if that's the current wait time..
Up to 3 months..
Is that due to pent up demand?
Lack of chips?
Lengthy time of production and testing?
If it's not due to pent up demand, then having to wait that long, will hurt it and if it is, it will hurt demand going forward.
Maybe get VVDN, to stop making that Nvidia junk and concentrate on our units, if production is too slow..
Yeah, but it feels like he's fishing..Looks like Rudy is a valuable employee adding to the value of our investment !
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