Food4 thought
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Guessing that you know what BOAT stands for??
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Straw
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So the issue is essentially the concept of displaying trust and good will as a group of people running a company as opposed to doing whatever you can get away with (?).
I was going to say 'good corporate citizen' but that's a terrible term that I think disguises all manner of unethical/inequitable conduct.
Proga
Regular
Taking your impression 1 step further @Diogenese , sounds like they weren't involved in the EQXX where Mercedes engineers worked with California-based artificial-intelligence developer BrainChip to create systems based on the company's Akida hardware and software. Among other things, the technology makes the "Hey, Mercedes" voice control system in the EQXX five to ten times more efficient than conventional voice control. Is SoundHound conventional voice control or just the voice?
Proga
Regular
FF, can't "ultrasonic sensors" be a form of radar?? They do mention they use ultrasonic sensors in the article
From the article:
Indispensable is a powerful word used in the above context.
Interestingly they can't go over 60km/hr. Sounds to me they need the next gen Scarla Lidar with Akida to use it on highways. I would guess the current version sold in the S-class as an optional extra would tell the driver to take back control every time the speed limit is above 60 or you become a traffic hazard.
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Sirod69
bavarian girl ;-)
Self-Parking Cars
06.11.22
Autonomous driving: Federal Motor Transport Authority presents catalog of requirements
By Christian Tamm
A very first step towards autonomous driving has been taken: The Federal Motor Transport Authority (KBA) has presented an initial catalog of requirements.
If you believe the car managers - including Audi boss Markus Duesmann - e-mobility is old hat. The new “big thing” is automated and, above all, autonomous driving. There is still a long way to go before the technologies can be used in general road traffic. There is a legal basis, but there was no set of rules that would make this law applicable by means of an operating license for autonomous cars from the KBA.
That is now changing. Because the KBA recently presented an initial catalog of requirements. It defines the conditions under which systems for driverless parking in the multi-storey car park, the "Automated Valet Parking" (AVP), may be activated. A very first step towards autonomous driving. The catalog represents a turning point for automobile traffic in Germany.
What is AVD and which systems already exist?
The AVD system goes back to a development by Daimler and Bosch. It received a kind of special permit from the authorities in 2019 so that it could be operated for the first time in the parking garage of the Mercedes-Benz Museum in Stuttgart. According to the manufacturer, it was “the world’s first fully automated and driverless parking function to be officially approved for everyday use.”
You can leave your car in a separate area after the barrier and start the parking process using the app. The car - the system can be ordered in the current S-Class, for example - then independently searches for gaps while the owner goes on his way. This function corresponds to level 4 of 5 automated driving. However, it was not allowed to be used in general; the frame was missing.
The technical requirements catalog of the KBA now forms this missing framework. If all requirements are met, AVD can be used as the first autonomous system in this country - in future vehicles and subsequently in those where it is already installed. “With the catalog of requirements for autonomous driving functions, we are creating the prerequisites for the safe operation of motor vehicles without a driver at national level. The KBA is thus setting international standards in this area and is proving to be an innovation driver for the new mobility,” says Richard Damm, President of the KBA in Flensburg.
What is in the catalog of the Federal Motor Transport Authority?
The KBA catalog is extensive - therefore only a short excerpt is possible. During the AVP drive, the car is only allowed to drive at a speed of ten km/h - with a tolerance of two km/h. Security is generally an issue for the KBA. In the so-called AVP area of application, "there must be a sufficient number of options at clearly visible and easily accessible points with which, when activated, all AVP vehicles located in the geographic AVP area of application and belonging to the overall AVP system can be brought directly into the AVP deactivation be transferred to a minimum-risk state". In other words, it needs an emergency stop switch. An AVP trip should also only be activated when no one is in the car. And in the end, the vehicle has to go into a safe state on its own, for example engaging the parking brake.
It becomes quite complex, both technically and ethically, in the following: The overall system should be designed in such a way that the car recognizes all “relevant objects and people in the AVP area and reacts to them safely, so that the basic freedom from collisions with these objects and people is guaranteed “. If an accident is unavoidable, the protection of human life must have the highest priority - without the weighting of personal characteristics.
What is the legal basis?
There have been legal regulations for autonomous driving in Germany since mid-2021. According to this, autonomous vehicles may take part in road traffic, but only in operating areas that have been defined and approved by the authorities. According to the Federal Ministry of Transport, shuttle traffic, trips between two distribution centers or so-called dual mode vehicles - as with the AVP - should become legally possible. However, technical supervision by a natural person is intended. "This makes Germany the first country in the world to bring vehicles without drivers from research into everyday life," said the ministry. The aim was to bring vehicles with autonomous functions into regular operation by 2022.
Audi: “We are satisfied with the result”
Audi has welcomed the publication of the first catalog of technical requirements for autonomously driving cars at the request of our newspaper. This would create further approval requirements for the fully automated driving function "Automated Valet Parking" (AVP). "We see great potential in automated driving functions," said a spokesman. The aim is to offer the "greatest possible benefit" with needs-based and situation-based support.
From today's perspective, the Ingolstadt car manufacturer assumes that such automated parking functions will be available as a series development in the second half of this decade. The four rings were not entirely uninvolved in the KBA catalogue: together with the VW software company Cariad, along with other manufacturers and suppliers, they were "participated in an advisory capacity in the development". Audi is satisfied with the result, the spokesman explains.
As Audi told our newspaper, they are currently working with Cariad on the development of the AVP parking functions. "For testing, we use both Audi facilities, such as the multi-storey car park at the GVZ, and areas at Cariad."
As early as 2013, Audi showed the public what autonomous parking could look like - back then with a pilot project in the multi-storey car park at Ingolstadt's North Train Station.
06.11.22
Autonomous driving: Federal Motor Transport Authority presents catalog of requirements
By Christian Tamm
A very first step towards autonomous driving has been taken: The Federal Motor Transport Authority (KBA) has presented an initial catalog of requirements.
If you believe the car managers - including Audi boss Markus Duesmann - e-mobility is old hat. The new “big thing” is automated and, above all, autonomous driving. There is still a long way to go before the technologies can be used in general road traffic. There is a legal basis, but there was no set of rules that would make this law applicable by means of an operating license for autonomous cars from the KBA.
That is now changing. Because the KBA recently presented an initial catalog of requirements. It defines the conditions under which systems for driverless parking in the multi-storey car park, the "Automated Valet Parking" (AVP), may be activated. A very first step towards autonomous driving. The catalog represents a turning point for automobile traffic in Germany.
What is AVD and which systems already exist?
The AVD system goes back to a development by Daimler and Bosch. It received a kind of special permit from the authorities in 2019 so that it could be operated for the first time in the parking garage of the Mercedes-Benz Museum in Stuttgart. According to the manufacturer, it was “the world’s first fully automated and driverless parking function to be officially approved for everyday use.”
You can leave your car in a separate area after the barrier and start the parking process using the app. The car - the system can be ordered in the current S-Class, for example - then independently searches for gaps while the owner goes on his way. This function corresponds to level 4 of 5 automated driving. However, it was not allowed to be used in general; the frame was missing.
The technical requirements catalog of the KBA now forms this missing framework. If all requirements are met, AVD can be used as the first autonomous system in this country - in future vehicles and subsequently in those where it is already installed. “With the catalog of requirements for autonomous driving functions, we are creating the prerequisites for the safe operation of motor vehicles without a driver at national level. The KBA is thus setting international standards in this area and is proving to be an innovation driver for the new mobility,” says Richard Damm, President of the KBA in Flensburg.
What is in the catalog of the Federal Motor Transport Authority?
The KBA catalog is extensive - therefore only a short excerpt is possible. During the AVP drive, the car is only allowed to drive at a speed of ten km/h - with a tolerance of two km/h. Security is generally an issue for the KBA. In the so-called AVP area of application, "there must be a sufficient number of options at clearly visible and easily accessible points with which, when activated, all AVP vehicles located in the geographic AVP area of application and belonging to the overall AVP system can be brought directly into the AVP deactivation be transferred to a minimum-risk state". In other words, it needs an emergency stop switch. An AVP trip should also only be activated when no one is in the car. And in the end, the vehicle has to go into a safe state on its own, for example engaging the parking brake.
It becomes quite complex, both technically and ethically, in the following: The overall system should be designed in such a way that the car recognizes all “relevant objects and people in the AVP area and reacts to them safely, so that the basic freedom from collisions with these objects and people is guaranteed “. If an accident is unavoidable, the protection of human life must have the highest priority - without the weighting of personal characteristics.
What is the legal basis?
There have been legal regulations for autonomous driving in Germany since mid-2021. According to this, autonomous vehicles may take part in road traffic, but only in operating areas that have been defined and approved by the authorities. According to the Federal Ministry of Transport, shuttle traffic, trips between two distribution centers or so-called dual mode vehicles - as with the AVP - should become legally possible. However, technical supervision by a natural person is intended. "This makes Germany the first country in the world to bring vehicles without drivers from research into everyday life," said the ministry. The aim was to bring vehicles with autonomous functions into regular operation by 2022.
Audi: “We are satisfied with the result”
Audi has welcomed the publication of the first catalog of technical requirements for autonomously driving cars at the request of our newspaper. This would create further approval requirements for the fully automated driving function "Automated Valet Parking" (AVP). "We see great potential in automated driving functions," said a spokesman. The aim is to offer the "greatest possible benefit" with needs-based and situation-based support.
From today's perspective, the Ingolstadt car manufacturer assumes that such automated parking functions will be available as a series development in the second half of this decade. The four rings were not entirely uninvolved in the KBA catalogue: together with the VW software company Cariad, along with other manufacturers and suppliers, they were "participated in an advisory capacity in the development". Audi is satisfied with the result, the spokesman explains.
As Audi told our newspaper, they are currently working with Cariad on the development of the AVP parking functions. "For testing, we use both Audi facilities, such as the multi-storey car park at the GVZ, and areas at Cariad."
As early as 2013, Audi showed the public what autonomous parking could look like - back then with a pilot project in the multi-storey car park at Ingolstadt's North Train Station.
FabricatedLunacy
Regular
SERA2g
Founding Member
What are you going to do about it mate, lock me up?
Ultrasonic is a form of SONAR, transmitting sound wave pulses and receiving reflected sound waves.
Old companies with even older technology fight over lapsed patents because it generates news and accountants now run the companies instead of engineers (sorry if that's offensive) . It's what they understand. Meanwhile at BRN HQ it's all innovation and new patents. Sunrise vs sunset.Hi FF,
That's a very good point. Why didn't I think of that!
But, what if anything, do you make of this statement?
View attachment 21498
Arm sues Qualcomm over alleged trademark infringement
Arm is suing chip-maker competitor Qualcomm and its subsidiary Nuvia over alleged trademark infringement and a breach of certain licencing agreements. <br /> <br /> According to a court filing – first obtained by The Register -- Nuvia used licensed Arm technology to build its custom processor...nationaltechnology.co.uk
The licence should have been non-transferrable, or transferrable only with ARM's consent, for the very reason that ARM would not want the technology they licensed to Nuvia falling into the hands of a major competitor.Hi FF,
That's a very good point. Why didn't I think of that!
But, what if anything, do you make of this statement?
View attachment 21498
Arm sues Qualcomm over alleged trademark infringement
Arm is suing chip-maker competitor Qualcomm and its subsidiary Nuvia over alleged trademark infringement and a breach of certain licencing agreements. <br /> <br /> According to a court filing – first obtained by The Register -- Nuvia used licensed Arm technology to build its custom processor...
Techinvestor17
Regular
We have the CNN2SNN converter so doesn’t completely rule out anyone only referring to CNN. My presumption of why things have been taking a while it that anyone who is going to be using Akida is likely to be recoding there networks into a SNN structure. Whilst power saving using the SNN converter is impressive, using an original SNN blows that out of the water. There was a good video posted by the company that shows this a while back now.
Sirod69
bavarian girl ;-)
there's something to vote for again
Arm
Did you know, the AI computer hardware market is expected to grow from $20 billion today to $80 billion by 2025.
With demand for AI technology at an all time high, it's increasingly important that we act now to reduce the energy that AI applications use. If we don't, on its current trajectory AI will only accelerate the climate crisis.
At #WebSummit, Eddie Ramirez, our VP of Marketing explored how Purpose Built Compute can address this.
By providing high performance, low energy technologies built #onArm that are extremely energy efficient, such as those found in the NVIDIA Grace and Amazon Web Services (AWS) EC2 C7g workloads, we can enable AI that will unlock humanity's greatest breakthroughs via supercomputers.
The world has already changed with AI. And now we can change it again.
Do you expect your use of AI to increase in the next 3 years?
Yes, significantly
71%
Yes, only slightly
21%
No, it'll stay the same
6%
No, it'll decrease
2%
www.linkedin.com
Arm
Did you know, the AI computer hardware market is expected to grow from $20 billion today to $80 billion by 2025.
With demand for AI technology at an all time high, it's increasingly important that we act now to reduce the energy that AI applications use. If we don't, on its current trajectory AI will only accelerate the climate crisis.
At #WebSummit, Eddie Ramirez, our VP of Marketing explored how Purpose Built Compute can address this.
By providing high performance, low energy technologies built #onArm that are extremely energy efficient, such as those found in the NVIDIA Grace and Amazon Web Services (AWS) EC2 C7g workloads, we can enable AI that will unlock humanity's greatest breakthroughs via supercomputers.
The world has already changed with AI. And now we can change it again.
Do you expect your use of AI to increase in the next 3 years?
Yes, significantly
71%
Yes, only slightly
21%
No, it'll stay the same
6%
No, it'll decrease
2%
LinkedIn Login, Sign in | LinkedIn
Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.
Sirod69
bavarian girl ;-)
Arm continues to accelerate IoT software development with new partnerships
November 07, 2022News highlights:
- Arm development tools integrated into GitHub Actions enabling faster time to market for IoT and embedded developers
- Qeexo and Nota.AI integrate Arm Virtual Hardware for better accessibility and ease-of-deployment of ML workloads
Arm Continues to Accelerate IoT Software Development with New Partnerships
Arm Virtual Hardware continues to accelerate IoT innovation through new partnerships with GitHub, Queexo and Nota AI.
www.arm.com
Arm continues to accelerate IoT software development with new partnerships
Arm is committed to ensuring developers have the tools they need in the places they are innovating, which is why I’m really pleased to announce some fantastic new partnerships that offer native integrations of our cloud-based development tools, including Arm Virtual Hardware, to accelerate...
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cosors
👀
I believe I may have seen you there once.
cassip
Regular
Velodyne and Ouster merger:
www.reuters.com
Lidar duo Ouster and Velodyne to merge in all-stock deal
Lidar companies Ouster Inc and Velodyne Lidar Inc have agreed an all-share merger that steps up consolidation in search of profitability in autonomous vehicle technology.
cassip
Regular
Getupthere
Regular
Data preparation is key to expanding military benefits of AI — C4ISRNET
When it comes to artificial intelligence and edge computing across the U.S. Department of Defense, we’re no longer in the talking phase, we’re in the doing phase.
Data preparation is key to expanding military benefits of AI
Mon Nov 7 02:24:22 GMT 2022
When it comes to artificial intelligence and edge computing across the U.S. Department of Defense, we’re no longer in the talking phase, we’re in the doing phase.
That’s evidenced by the Joint All Domain Command and Control effort and the recent introduction of the DoD’s Chief Digital and Artificial Intelligence Office.
Indeed, we’re seeing the positive impact of AI in virtually all areas of industry, but with the most potential in defense operations, across all operational domains (Air, Land, Sea, Space & Cyber). Air traffic controllers can now use AI-type analytics to keep track of “good aircraft” (i.e., a passenger jets) and “questionable aircraft” (an unexpected aircraft moving in an unexpected manner such as traveling at Mach speed or even a weather balloon).
Thanks to AI-driven image processing and its ability to analyze different characteristics of objects, including size, weight, speed and more, military commanders can gain better situational awareness and accurately determine whether an object seen from afar or on the radar is innocuous or a possible threat.
All this information can be processed and delivered in near real-time, thanks to Field Programmable Gate Arrays, which is a fancy term for CPU accelerators. Commanders and troops operating at the tactical edge can make split-second decisions without having to wait for information to be processed at a centralized cloud location. Using AI in this fashion provides new capabilities to commanders without taking away any of their legacy decision-making tools.
Essentially, AI is enhancing leader’s ability to shorten their OODA Loop cycles and making real-time decision making a reality. OODA stands for “Observe, Orient, Decide, Act” – all within a matter of seconds. AI is making it happen right now, giving fighter pilots flying at supersonic speeds and ground units engaged in military operations the information they need, when they need it, to understand what’s happening, and enabling them to quickly make better decisions on what they need to do next.
And yet, successful use cases such as these are only possible if organizations take the right steps to appropriately prepare their data and AI models.
Here’s how:
Before you start down the AI road you need to be clear about your goals and objectives. The bottom line: What problem do you want AI to solve? What information are you seeking? What data is relevant?
Data must be accurate and clean. The less trustworthy the data is in upon ingestion, the more inaccurate the AI’s recommendations will be. This is particularly challenging, as so much information is being collected from so many different sensors, each with its own proprietary operating system and metadata formats.
Data must be de-duplicated. Collecting millions of data points can result in duplicate data sets. This can make it difficult to understand which data to prioritize or result in conflicting information that could adversely affect missions. A Medivac pilot engaged in a rescue mission could receive multiple recommendations about where to fly, or a troop may end up with the wrong intelligence about the location of an enemy deployment. Also, during HA/DR mission (Humanitarian Assistance or Disaster Recovery) delivering the wrong aid to the wrong place can have ghastly results.
The quantity of data being ingested must be managed. There may come a point where workloads overwhelm the AI’s ability to process data. Thus, it’s important for agencies to regulate data ingestion and only include what’s necessary. This practice, we like to call “Digital Discipline”, is especially critical when dealing with edge devices, which, unlike a centralized cloud, can only manage small chunks of data.
Data must be relevant and timely. For example, a military operation could be relying on multiple radar arrays located in the sky, on a ship, and on the ground. While each radar signal is homed in on the same object, data originating from the largest and fastest transmitters will be delivered first. A good AI engine can timestamp the data and differentiate between timely and stale information, with “stale” meaning data that’s milliseconds older than more current data. Yet those milliseconds could be what saves troops in the event of an incoming missile strike, which makes ensuring the immediacy of the data critical. In this environment seconds matter.
Data must be properly formatted so the AI can interpret it effectively. Consider a person opening the same web page on Chrome and Edge web browsers yet seeing different things; the information being digested is the same, but the way it’s presented is different due to data formatting issues. Data must be formatted consistently and properly for the AI to make sense of it and deliver accurate recommendations. Also building in data converters takes time away from data delivery.
Data integrity must be protected. The appropriate cybersecurity measures must be put in place to ensure that data is secure and data integrity is maintained. Because once data is compromised, it not only becomes a national security issue but also compromises trust in the AI system. Commanders’ and troops’ confidence in the AI will be undermined, and they will begin second-guessing the computer’s recommendations.
AI engine must be trained and kept current on mission objectives so that it can deliver outputs and recommendations to meet those goals. None of the above tactics will be very useful if the AI itself does not understand the mission objectives.
By addressing these points, defense organizations will not only be able to deliver more effective battlefield operations, they’ll also be able to gain better insights to handle events that impact soldiers’ and civilians’ lives. For instance, the military will have greater situational awareness when it responds to domestic crises, such as a hurricane or other natural disasters. Supply chain managers will be able to pinpoint and predict the availability of the beans, bullets, and band aids as well as other critical supplies.
In short, when one talks about “military intelligence” today, they’re likely referring to how hard-fought information is gleaned and massaged by AI. That intelligence is shining through and will continue to do so if agencies take the right steps to ensure the cleanliness, accuracy, and integrity of their data.
Jason Dunn-Potter is Solution Architect for Defense and National Security at Intel and a retired U.S. Army Chief Warrant Officer 5.
Have an Opinion?
This article is an Op-Ed and the opinions expressed are those of the authors. If you would like to respond, or have an editorial of your own you would like to submit, please email C4ISRNET Senior Managing Editor Cary O’Reilly.
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