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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​

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.



View attachment 75442



Mars2020 Fact Sheet


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View attachment 75444









I need people like you… those who can think outside the box and take the initiative now and then. If you keep this up, I’ll promote you! And who knows, maybe one day you’ll take over as the leader. Let’s discuss this in a yiakusi.
Major kusanagi!
 
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Frangipani

Regular
The project ended 2021

View attachment 75460

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Thank’s for your research, CHIPS, which confirms what I just posted.
The SBIR project started in August 2020, which was AFTER the launch of the Mars 2020 mission on July 30, 2020.
 
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We can 100% exclude that the 2020 NASA SBIR proposal which featured Akida has anything to do with NASA’s Mars 2020 mission and the Perseverance Mars Rover, given the fact that it embarked on its voyage to the Red Planet on July 30, 2020 (hence the mission name!) and landed on the Martian surface on February 18, 2021…

View attachment 75445


Apart from the fact that the timelines just don’t match - Perseverance left Planet Earth 4.5 years ago, the same year the SBIR proposal was published, while BrainChip celebrated Akida being first launched into space on March 4, 2024 (in ANT61’s Brain) - the 2020 SBIR proposal itself clearly indicates it is out of the question that it could have anything to do with the Perseverance Mars Rover’s autonomous navigation system: the research project relates to TRL (Technology Readiness Level) 1-2, which is considered very basic and speculative research. I’ll leave it up to you to figure out what TRL would be required for any mission-critical technology destined for Mars…

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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.
 
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manny100

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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​

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.



View attachment 75442



Mars2020 Fact Sheet


View attachment 75443
View attachment 75444









Great post Bravo, it certainly looks like we are preferred by NASA. As expected its taking a fair while.
 
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manny100

Regular
The project ended 2021

View attachment 75460

View attachment 75459
Great post CHIPS, Like how they say " We plan to use AKIDA......".
 
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7für7

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

Regular
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:

89B875DE-6221-4E8C-9EAF-F0AC2F21BE11.jpeg



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

32a1ebe8-ff38-4c64-9554-ba8729ba2f6c-jpeg.75462


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…

5A5C277A-D8EF-4ABC-A8C1-5BF3E0119DC5.jpeg



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

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FiveBucks

Regular
Supposed Nintendo Switch 2 motherboard leak.

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

1736330475928.png


1736330457159.png



 
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DK6161

Regular
Dammed, I was hoping for Jensen Huang.

Well, S. Huang will do for now!
You know what they say. Any Huang is a Huang
 
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DK6161

Regular
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​

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.



View attachment 75442



Mars2020 Fact Sheet


View attachment 75443
View attachment 75444









Great find Bravo!
 
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