BRN Discussion Ongoing

[manny100]

The project ended 2021

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NASA TechPort

NASA's Technology Portfolio Management System (TechPort) is a single, comprehensive resource for locating detailed information about NASA-funded technologies. Those technologies cover a broad range of areas, such as propulsion, nanotechnology, robotics, and human health. You can find useful...

techport.nasa.gov

Great post CHIPS, Like how they say " We plan to use AKIDA......".

 

[7für7]

I wasn't saying AKIDA was on the Perseverance Rover that went to Mars, Frangipani and I don't think Bravo was saying that either..

It's been tested on subsequent iterations, on Earth though.

fun fact I was sending my name via nasa to the Mars mission two times! When akida??? @Brainchip

 

[DingoBorat]

fun fact I was sending my name via nasa to the Mars mission two times! When akida??? @Brainchip

Don't piss them off 7!

 

[7für7]

Don't piss them off 7!

I think they would take it with humour as it is meant maybe I should add

 

[DingoBorat]

I think they would take it with humour as it is meant maybe I should add

Nooooo....

 

[7für7]

Nooooo....

I just received a Message PM from them.. “best poster thanks for the laughs”… not

 

[Frangipani]

Hi Esky,

Has there been any indication from the company that interviews/podcasts will be conducted at CES. Nandam was instrumental in these interviews last year. I’m not sure Brainchip have any of Nandams calibre to perform these interviews. Hope they do though. They gave fantastic insight into potential customers thinking about AI etc.

Yes.
See yesterday’s LinkedIn post:

And also here, when you click on the available CES 2025 demo/meeting time slots:

I noticed they changed the wording, though, as in an earlier version it sounded more like an obligation to come on the podcast rather than an option, which may have put some interested parties off…

Plus, as @Esq.111 already noted earlier, BrainChip posted a photo yesterday showing Edge Impulse’s Spencer Huang as a podcast guest.

 

[FiveBucks]

Supposed Nintendo Switch 2 motherboard leak.

I'm squinting to try and manifest "akida" on one of the chips... not having any luck though

 

[DingoBorat]

Supposed Nintendo Switch 2 motherboard leak.

I'm squinting to try and manifest "akida" on one of the chips... not having any luck though

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You wouldn't see an AKIDA chip, the IP would be integrated into one of them, "if" we are in it..

 

[Space Cadet]

Lllll

Supposed Nintendo Switch 2 motherboard leak.

I'm squinting to try and manifest "akida" on one of the chips... not having any luck though

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We're safe. It would be our IP on one of their chips. There wouldn't be our name on the chip. Just saying. Not holding my breath though.

SC

 

[DK6161]

Dammed, I was hoping for Jensen Huang.

Well, S. Huang will do for now!

You know what they say. Any Huang is a Huang

 

[Space Cadet]

You wouldn't see an AKIDA chip, the IP would be integrated into one of them, "if" we are in it..

Beat me to it Dingo.

SC

 

[DK6161]

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.

NASA’s AI Use Cases: Advancing Space Exploration with Responsibility​

Kate Halloran​

Jan 07, 2025
Article

Contents​

• AI Across NASA
• Ethical AI: NASA’s Responsible Approach
• Looking Forward: AI’s Expanding Role

NASA's 2024 AI Use Case inventory highlights the agency’s commitment to integrating artificial intelligence in its space missions and operations. The agency’s 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.
NASA’s 2024 AI Use Case inventory highlights the agency’s commitment to integrating artificial intelligence in its space missions and operations. The agency’s 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​

NASA’s 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 – Terrain Relative Navigation: AI technology supporting the rover’s 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 Mars’ atmosphere and surface conditions.

Data Management and Automation​

• NASA OCIO STI Concept Tagging Service: AI tools that organize and tag NASA’s scientific data, making it easier to access and analyze.
• Purchase Card Management System (PCMS): AI-assisted system for streamlining NASA’s 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: NASA’s 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: AI’s Expanding Role​

As AI technologies evolve, NASA’s 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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https://d2pn8kiwq2w21t.cloudfront.net/documents/mars2020factsheet.pdf

NASA's AI Use Cases: Advancing Space Exploration with Responsibility - NASA

NASA's 2024 AI Use Case inventory highlights the agency’s commitment to integrating artificial intelligence in its space missions and operations. The agency’s

www.nasa.gov

Great find Bravo!

 

[DingoBorat]

Beat me to it Dingo.

SC

You're just lucky this ain't a Western pal..

 

[Space Cadet]

You're just lucky this ain't a Western pal..

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Mrs reckons I shoot too quick but not very accurate.

SC

 

[7für7]

You're just lucky this ain't a Western pal..

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Today I will be an observer … let’s watch amateurs

 

[Guzzi62]

Those cars will be launched in late 2020s, which shows how long time these things take.

Let's hope we are part of Renesas's secret sauce!

Jan 8, 2025

• News Release

Honda and Renesas Sign Agreement to Develop High-Performance SoC for Software-Defined Vehicles

-Delivering Industry-Leading AI Performance and Power Efficiency for the Honda 0 Series in the Late 2020s-

TOKYO, Japan, January 8, 2025 ― Honda Motor Co., Ltd. (TSE: 7267) and Renesas Electronics Corporation (TSE:6723) announced today that they have signed an agreement to develop a high-performance system-on-chip (SoC) for software-defined vehicles (SDVs). The new SoC is designed to deliver leading-edge*¹ AI performance of 2,000*2 TOPS combined with a world-class power efficiency of 20 TOPS/W, and is slated for use in future models of the “Honda 0 (Zero) Series,” Honda’s new electric vehicle (EV) series, specifically those that will be launched in the late 2020s. The agreement was announced during a Honda press conference held at CES 2025 in Las Vegas, Nevada on January 7.
Honda is developing original SDVs to provide a mobility experience optimized for each individual customer in the Honda 0 Series. The Honda 0 Series will adopt a centralized E/E architecture that combines multiple electronic control units (ECUs) responsible for controlling vehicle functions into a single ECU. The core ECU, which serves as the heart of the SDV, manages essential vehicle functions such as Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD), powertrain control, and comfort features, all on a single ECU. To achieve this, the ECU requires a SoC that provides higher processing performance than traditional systems, while minimizing any increase in power consumption.
Renesas is committed to providing automotive semiconductor solutions that enable automobile OEMs to develop SDVs. Renesas’ R-Car solutions offer higher AI performance with the ability to customize by leveraging multi-die chiplet technology*3 and integrating AI accelerators*4 into its SoC.
To realize the Honda vision for SDVs, Honda and Renesas reached an agreement to develop a high-performance SoC compute solution designed for core ECUs. Using TSMC’s leading-edge 3-nm automotive process technology, this SoC also can achieve a significant reduction in power consumption. Additionally, it realizes a system that utilizes multi-die chiplet technology to combine Renesas’ generic fifth-generation (Gen 5) R-Car X5 SoC series with an AI accelerator optimized for AI software developed independently by Honda. With this combination, the system aims to achieve one of the industry’s top class AI performances with power efficiency. The SoC chiplet solution will provide the AI performance required for advanced functions such as AD, while keeping power consumption low. Chiplet technology allows flexibility to create customized solutions and offers future upgrades for functional and performance improvements.
Honda and Renesas have collaborated closely for many years. This agreement will accelerate the integration of advanced semiconductor and software innovations into the Honda 0 Series, enhancing the mobility experience for customers.

Honda and Renesas Sign Agreement to Develop High-Performance SoC for Software-Defined Vehicles | Honda Global Corporate Website

Honda Global | Honda Motor Co., Ltd. (TSE: 7267) and Renesas Electronics Corporation (TSE:6723) announced today that they have signed an agreement to develop a high-performance system-on-chip (SoC) for software-defined vehicles (SDVs). The new SoC is designed to deliver leading-edge AI...

global.honda

 

[Cirat]

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BrainChip Unveils Edge AI Box Partner Ecosystem for Gestures, Cybersecurity, Image Recognition, and Computer Vision​

Laguna Hills, Calif. – January 7th, 2025 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s 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 Akida™ 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 Brainchip’s 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 BrainChip’s 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.

“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,” said Sean Hehir, BrainChip CEO. “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.”

The Akida Edge AI Box puts BrainChip’s 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 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.

BrainChip’s 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.

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.
The answer is as follows so let's see how the answer plays out in the future........ Just dreaming and filling in time.

​

ChatGPT response
"Based on the article, the companies mentioned, and the potential use cases of BrainChip's Akida Edge AI Box, the most likely company to first sign a contract with BrainChip could be Quantum Ventura Inc. Here’s why:

---

Reasoning:​

1. Strategic Fit and Industry Need:
   • Quantum Ventura Inc. specializes in cybersecurity and provides advanced R&D in areas like machine learning, computer vision, and synthetic aperture radar to the federal government.
   • Cybersecurity is a critical industry, and the CyberNeuro-RT (CNRT) technology they are demonstrating on the Akida Edge AI Box aligns well with BrainChip’s focus on low-latency, real-time AI solutions.
2. High Stakes Industry:
   • Cybersecurity solutions that leverage AI are increasingly critical across industries and government applications. A partnership with BrainChip could provide Quantum Ventura a competitive advantage in delivering real-time threat intelligence tools.
3. Existing Demonstrations and Potential for Immediate Deployment:
   • Quantum Ventura is already demonstrating its CNRT technology on BrainChip's Akida Edge AI Box. This indicates that the two companies are collaborating actively, which could naturally progress into a commercial contract."

Conclusion:​

The most likely first contract signer is Quantum Ventura Inc. due to its active demonstration of cybersecurity solutions, the critical importance of its use case, and the potential for immediate deployment in high-priority industries like defense and government. Other companies like BeEmotion and Vedya Labs could follow closely, depending on the readiness of their solutions and market demand.


Not financial advice, DYOR, GLTA

 

[FJ-215]

Samsung’s smart fridges will use AI to suggest groceries to buy on Instacart

More milk, please.

www.theverge.com

Samsung’s smart fridges will use AI to suggest groceries to buy on… | Chandra Maloo

Back in 2019 our team always discussed grocery replenishment as the natural next step for AI Vision Inside technology in Samsung Family Hub refrigerators. It's amazing to see that vision become a reality now! Same-day delivery wasn't a phenomenon back then, but coupled with that this would...

www.linkedin.com

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Eat meat,,

You may not die from plant based cancers....

but a good start.....

Akida can't save you from a poor diet!!!!

 

[KyrieIrving]

Eat meat,,

You may not die from plant based cancers....

but a good start.....

Akida can't save you from a poor diet!!!!

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.

You have to make yourself clear that not every edge AI device (which these fridges arent) uses neuromorphic tech and especially Akida.