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equanimous

Norse clairvoyant shapeshifter goddess

Navigating Driver Privacy and Safety of Electric Vehicles, Self-Driving Vehicles - insideBIGDATA

A growing number of connected electric vehicles, as well as the evolution of self driving and automated vehicles are putting a greater demand on processing power. New technologies are advancing rapidly with the introduction of new processing methods, according to experts at BrainChip Holdings...
insidebigdata.com
insidebigdata.com

Navigating Driver Privacy and Safety of Electric Vehicles, Self-Driving Vehicles​

August 15, 2021 by Editorial Team Leave a Comment
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A growing number of connected electric vehicles, as well as the evolution of self driving and automated vehicles are putting a greater demand on processing power. New technologies are advancing rapidly with the introduction of new processing methods, according to experts at BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology.
These automotive systems rely heavily on Artificial Intelligence and Machine Learning (AI/ML) to train an increasing number of sensors, components, image and video processors in each vehicle. Autonomous vehicles and near-autonomous vehicles are predicted to generate 12-15 terabytes (1014) of data for every two hours of driving, and all this data has vulnerabilities as it is uploaded to the cloud. Consumer advocates have raised alarms about operator and passenger privacy, including location data, driver health, speed, and more with the dependence on the cloud.
“Many of the concerns about driverless cars and driver assist systems can be addressed with improved AI/ML operations and internal components,” said BrainChip Founder and CEO Peter van der Made. “Safety is a particularly salient one, but energy efficiency, privacy and security are critical considerations for the automotive industry and their supply chain to address.”
Notable ways that improved technology “under the hood” will reduce accidents, protect data, and conserve energy include:
Real-time learning
Improved chips can perform “incremental learning,” and add to their knowledge of the world as they are confronted with new information. Object recognition is one situation when real-time learning is impactful – a car needs to “see” whether an object in the road is a rock, an animal, or a plastic bag and be able to recognize the differences of each to react accordingly. Under current AI/ML processing methods, all are viewed as obstacles.
“Real-time incremental learning, sometimes called one-shot learning, makes it possible to train a chip within a fraction of a second, and trigger corrective action,” said van der Made. “As this is widely adopted, the safety improvements will be enormous.”
On-chip learning
Traditional microprocessors are too slow to perform the type of calculations that are required to recognize objects. A large array of parallel operating cells, each operating according to the same principle as brain cells, perform rapid computations in the vehicle, rather than sending data to a cloud / data center and then waiting for instructions. Not only does this reduce latency so decisions are made faster, it removes the need for internet connectivity, so the vehicle continues to operate even when there is no internet available. And, by retaining data within the vehicle itself, instead of transmitting it to a remote location, security and personal data privacy is vastly improved.
“On-chip learning is likely the single biggest breakthrough for the automotive industry, because this alone addresses critical concerns like response times and data privacy,” said van der Made. “A car travelling at 110 km/h does 50 meters in one second. A one-second, or even a fraction of a second delay in receiving data from the cloud could be fatal.”
Greener processing
Today’s luxury cars contain many microchips. In the future, more advanced self-driving cars will have so many on-board computing systems that their power consumption will have a major impact on the car’s performance. Smaller, light weight, energy-efficient chips will reduce this impact. Ultra low power brain-like processors that can deliver high performance object recognition and an overall higher range of efficiency, so the car’s battery performance or overall power consumption is maximized.
“Combined with on-chip learning, power-efficient processors will also save vast amounts of energy versus transmitting data via the cloud,” said van der Made. “A back-of-the-envelope calculation suggests a 97% energy savings over current technologies, which not only improves the efficiency of the car, it reduces the data center’s energy use.” Each instance that runs on a remote data center is contributing to its huge carbon footprint.
Mechanical monitoring
Advanced AI processing can be used to monitor the health status of the vehicle for early diagnostics through real-time analysis of sensor data. Sensors can identify sounds, vibrations, even odors to identify upcoming problems or failures. This is a safety feature that also eliminates human error, reduces labor and maintenance costs, and prevents machinery deterioration.
Operator monitoring
Future systems will be capable of “seeing” the driver to gauge attention, to verify their identity to ensure they are authorized to operate the vehicle, and alert drowsy or distracted drivers instantly.
“There are valid reasons to question the safety and security of self-driving cars, but the largest and most dangerous threat is the processing limitation of present technologies,” said van der Made. “Less capable processors are the real obstacle, especially if corners are cut. It is critical that all data is processed within the car itself, that the data be protected from leak or attack, and that these developments do not come at a greater cost to people or even our planet.”
BrainChip’s Akida™ brings artificial intelligence to the edge in a way that is different from existing technologies. The solution is high-performance, small, ultra-low power and enables a wide array of edge capabilities. The Akida AKD1000 and its intellectual property can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation. These applications include but are not limited to home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection, sound detection, odor and taste detection, gesture control and cybersecurity
 
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Boab

I wish I could paint like Vincent

Navigating Driver Privacy and Safety of Electric Vehicles, Self-Driving Vehicles - insideBIGDATA

A growing number of connected electric vehicles, as well as the evolution of self driving and automated vehicles are putting a greater demand on processing power. New technologies are advancing rapidly with the introduction of new processing methods, according to experts at BrainChip Holdings...
insidebigdata.com
insidebigdata.com

Navigating Driver Privacy and Safety of Electric Vehicles, Self-Driving Vehicles​

August 15, 2021 by Editorial Team Leave a Comment
Print Friendly, PDF & Email
A growing number of connected electric vehicles, as well as the evolution of self driving and automated vehicles are putting a greater demand on processing power. New technologies are advancing rapidly with the introduction of new processing methods, according to experts at BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology.
These automotive systems rely heavily on Artificial Intelligence and Machine Learning (AI/ML) to train an increasing number of sensors, components, image and video processors in each vehicle. Autonomous vehicles and near-autonomous vehicles are predicted to generate 12-15 terabytes (1014) of data for every two hours of driving, and all this data has vulnerabilities as it is uploaded to the cloud. Consumer advocates have raised alarms about operator and passenger privacy, including location data, driver health, speed, and more with the dependence on the cloud.

Notable ways that improved technology “under the hood” will reduce accidents, protect data, and conserve energy include:
Real-time learning
Improved chips can perform “incremental learning,” and add to their knowledge of the world as they are confronted with new information. Object recognition is one situation when real-time learning is impactful – a car needs to “see” whether an object in the road is a rock, an animal, or a plastic bag and be able to recognize the differences of each to react accordingly. Under current AI/ML processing methods, all are viewed as obstacles.
“Real-time incremental learning, sometimes called one-shot learning, makes it possible to train a chip within a fraction of a second, and trigger corrective action,” said van der Made. “As this is widely adopted, the safety improvements will be enormous.”
On-chip learning
Traditional microprocessors are too slow to perform the type of calculations that are required to recognize objects. A large array of parallel operating cells, each operating according to the same principle as brain cells, perform rapid computations in the vehicle, rather than sending data to a cloud / data center and then waiting for instructions. Not only does this reduce latency so decisions are made faster, it removes the need for internet connectivity, so the vehicle continues to operate even when there is no internet available. And, by retaining data within the vehicle itself, instead of transmitting it to a remote location, security and personal data privacy is vastly improved.

Greener processing
Today’s luxury cars contain many microchips. In the future, more advanced self-driving cars will have so many on-board computing systems that their power consumption will have a major impact on the car’s performance. Smaller, light weight, energy-efficient chips will reduce this impact. Ultra low power brain-like processors that can deliver high performance object recognition and an overall higher range of efficiency, so the car’s battery performance or overall power consumption is maximized.

Mechanical monitoring
Advanced AI processing can be used to monitor the health status of the vehicle for early diagnostics through real-time analysis of sensor data. Sensors can identify sounds, vibrations, even odors to identify upcoming problems or failures. This is a safety feature that also eliminates human error, reduces labor and maintenance costs, and prevents machinery deterioration.
Operator monitoring
Future systems will be capable of “seeing” the driver to gauge attention, to verify their identity to ensure they are authorized to operate the vehicle, and alert drowsy or distracted drivers instantly.

BrainChip’s Akida™ brings artificial intelligence to the edge in a way that is different from existing technologies. The solution is high-performance, small, ultra-low power and enables a wide array of edge capabilities. The Akida AKD1000 and its intellectual property can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation. These applications include but are not limited to home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection, sound detection, odor and taste detection, gesture control and cybersecurity
Just brilliant. We have a lot to look forward to.
Thank you @equanimous
 
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Sirod69

bavarian girl ;-)
Unity and Microsoft announce cloud partnership for game developers and beyond

We see many areas where we can partner with Microsoft Azure to build more cloud capabilities for you across our ecosystem of tools and services. We will use these capabilities to improve workflows, deliver new functionality, provide additional reliability and more global access options, and more.

well, it will be exciting to see where the journey could go here

 
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JK200SX

Regular
Just a bit bored tonight, however, eagerly awaiting the premiere release :)

1660470621598.png
 
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equanimous

Norse clairvoyant shapeshifter goddess
Just a bit bored tonight, however, eagerly awaiting the premiere release :)

View attachment 14163
If you could be 1 superhero who would it be and what AI superpower would you have?
Fantastic four.png
 
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RobjHunt

Regular
Unity and Microsoft announce cloud partnership for game developers and beyond

We see many areas where we can partner with Microsoft Azure to build more cloud capabilities for you across our ecosystem of tools and services. We will use these capabilities to improve workflows, deliver new functionality, provide additional reliability and more global access options, and more.

well, it will be exciting to see where the journey could go here

"well, it will be exciting to see where the journey could go here"

It certainly is mate, it certainly is!

Pantene
 
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Deadpool

hyper-efficient Ai
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RobjHunt

Regular
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HopalongPetrovski

I'm Spartacus!
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Very cool, but why does Peter have a set of jugs?

Because it's analogous to him being a creator?
 
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Deadpool

hyper-efficient Ai
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Proga

Regular
I just wonder what sort of impact the Climate Bill will have on our little brain chip investment.
It’s a few dollars that they are throwing at this.
We ( 🧠 🍟 ) use less power
Create less heat
Now how can we help save the world 🌎
The mind goes into overtime just thinking of all the applications where we can be involved.
The power usage of every new application, no matter what it is will be heavily scrutinised. All global grids are under strain atm and with EV's multiplying it is only going to get worse. One way to relieve the grids is to find power savings elsewhere. Especially in data centres.

It's a given power grids need to be beefed up with the roll out of EV's which will cost trillions but to what extent will depend on power savings elsewhere. Excluding EV's, the aim is to use less power than we do global atm.

I posted the below in the SYR thread in HC a few days ago. I won't bore you with what the ultimate goal is but this is just the start

California utility Pacific Gas and Electric (PG&E) is collaborating with Tesla on a pilot program that will combine thousands of Powerwall home battery systems to create a “virtual power plant” or “distributed battery.”

Tesla has invited some 25,000 PG&E customers with Powerwalls to join the program. PG&E residential customers are eligible for the program if they own a Tesla Powerwall, have an interconnection agreement with PG&E, and are not enrolled in other demand response programs.

Through the collaboration, Tesla will participate in PG&E’s Emergency Load Reduction Program (ELRP) pilot by combining residential Powerwalls into a virtual power plant to discharge power back to the California grid during times of high electricity demand. Participating customers will receive $2 for every incremental kilowatt-hour of electricity their Powerwall discharges during an event. They can use the Tesla app to set their backup power needs or to opt out of a particular event, as necessary.


“VPPs are a valuable resource for supporting grid reliability and an essential part of California’s clean energy future,” said PG&E’s Aaron August, VP of Business Development & Customer Engagement. “Our customers’ home batteries offer a unique resource that can positively contribute to our state’s electric grid and will become more significant as our customers continue to adopt clean energy technology. In collaborating with Tesla, we are further integrating behind-the-meter battery-based VPPs on the largest scale yet, helping to make customer resiliency technologies more accessible.”


“Enabling Powerwall customers to support the grid and their community is a necessary and important part of accelerating the transition to sustainable energy,” said Tesla’s Drew Baglino, Senior VP of Powertrain and Energy Engineering. “We seek to partner with utilities and regulators everywhere to unlock the full potential of storage to bring more renewable, resilient, and less costly electricity to everyone.”
 
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Dhm

Regular
The power usage of every new application, no matter what it is will be heavily scrutinised. All global grids are under strain atm and with EV's multiplying it is only going to get worse. One way to relieve the grids is to find power savings elsewhere. Especially in data centres.

It's a given power grids need to be beefed up with the roll out of EV's which will cost trillions but to what extent will depend on power savings elsewhere. Excluding EV's, the aim is to use less power than we do global atm.

I posted the below in the SYR thread in HC a few days ago. I won't bore you with what the ultimate goal is but this is just the start

California utility Pacific Gas and Electric (PG&E) is collaborating with Tesla on a pilot program that will combine thousands of Powerwall home battery systems to create a “virtual power plant” or “distributed battery.”

Tesla has invited some 25,000 PG&E customers with Powerwalls to join the program. PG&E residential customers are eligible for the program if they own a Tesla Powerwall, have an interconnection agreement with PG&E, and are not enrolled in other demand response programs.

Through the collaboration, Tesla will participate in PG&E’s Emergency Load Reduction Program (ELRP) pilot by combining residential Powerwalls into a virtual power plant to discharge power back to the California grid during times of high electricity demand. Participating customers will receive $2 for every incremental kilowatt-hour of electricity their Powerwall discharges during an event. They can use the Tesla app to set their backup power needs or to opt out of a particular event, as necessary.


“VPPs are a valuable resource for supporting grid reliability and an essential part of California’s clean energy future,” said PG&E’s Aaron August, VP of Business Development & Customer Engagement. “Our customers’ home batteries offer a unique resource that can positively contribute to our state’s electric grid and will become more significant as our customers continue to adopt clean energy technology. In collaborating with Tesla, we are further integrating behind-the-meter battery-based VPPs on the largest scale yet, helping to make customer resiliency technologies more accessible.”


“Enabling Powerwall customers to support the grid and their community is a necessary and important part of accelerating the transition to sustainable energy,” said Tesla’s Drew Baglino, Senior VP of Powertrain and Energy Engineering. “We seek to partner with utilities and regulators everywhere to unlock the full potential of storage to bring more renewable, resilient, and less costly electricity to everyone.”
I’m waiting for the generic EV battery to be able to power your home during periods of high usage, say from 4pm to 10pm. Then fill the battery during the early morning when rates are much cheaper, or even better, use your solar panels the next morning to replenish the EV battery. There has been some talk of this concept and perhaps not as widespread as the Tesla power wall but it may go a long way in achieving the same goal.

The recent Snowy Mountain ‘battery’ concept is just pumping water up when rates are cheap, then releasing the same water and driving the turbines in peak periods.
 
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Proga

Regular
Interesting...This article which describes the new Unity MB.OS hints that it may be available next year??? So it looks like @Okeydokey01 could be right about the model years versus calendar years!!!!🤞

It also says "If Mercedes follows the same kind of rollout that it did with MBUX, we’d expect to see MB.OS in A-Class and C-Class models first, followed by everything else".


View attachment 14124






View attachment 14123


Was thinking the same @Bravo re next year. All the suppliers eg Valeo, Renesas etc seem well advanced to implement. With the potential Unity tie up, where do you see Nvidia fitting in? I'm still trying to track all the jigsaw pieces in regards to who does what.

I still get the feeling they'll roll it out in all models and not in stages. I think what is driving this massive technology shift into the new generation of vehicles is their switch into EV's and trying to grab market share to secure their future. When you think about it, these changes are EV orientated.
 
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Proga

Regular
I’m waiting for the generic EV battery to be able to power your home during periods of high usage, say from 4pm to 10pm. Then fill the battery during the early morning when rates are much cheaper, or even better, use your solar panels the next morning to replenish the EV battery. There has been some talk of this concept and perhaps not as widespread as the Tesla power wall but it may go a long way in achieving the same goal.

The recent Snowy Mountain ‘battery’ concept is just pumping water up when rates are cheap, then releasing the same water and driving the turbines in peak periods.
The Tesla Powerwalls are now up to 30Kwh. Plenty of charge to power the home and top up the EV while it recharges during the day via solar panels. I'm expecting they'll eventually reuse/repackage EV batteries which the average size is 85kwh today when they become unusable after losing 20% of their capacity. Why go through all the cost and added power usage of recycling them or manufacturing Powerwalls when they are still good for home use for another 20yrs. It will take another 10yrs before they begin needing replacing in any sort of numbers.

There has been some talk of this concept - it goes a hell of a lot further than that @Dhm. When industry powers up in the morning, aircon in office blocks are turned on etc, EV owners will sell power from their cars at a higher tariff in which you can stipulate how much power you sell. Then when the solar panels and wind turbines are feeding more power into the grid during the day than is needed, they'll use the excess power to recharge the EV's at a lower tariff. The plan is every house/unit block has solar panels and a battery. They're already experimenting in using solar panels as cladding on unit blocks. Every building car park or factory car park will have charging stations where you plug-in the car when you get to work.
 
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cosors

👀

A couple of partners in here ……. Are we undercover 🤔


View attachment 14111
Few know R&S and know that the German state stands protectively behind them because of military products.
"Rohde & Schwarz is a close, long standing partner of government authorities, armed forces and leading defense technology companies."
https://www.rohde-schwarz.com/de/lo...defense/overview/defense-overview_232922.html
So if, then maybe undercover;)
 
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cosors

👀
Only thing missing is an AKIDA chip …. :)

Very nice. Unfortunately I think of the masses of tropical wood used for it. This does not make it fun for me.
 
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D

Deleted member 118

Guest
Happy Monday everyone but



We could get some good news this week
 
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stuart888

Regular
Seems like what PVD pointed out in his 2022 predictions as "Industrial Applications" might be massive, think billions, Total Addressable Market over time. Anomaly detection is the thing pointed out often here.

Maybe I am wrong, but Anomalies are spares-events, perfect for the Akida 1000, even with 2 nodes. Spares-events take full advantage of the energy efficiency of the SNN framework.



1660504949773.png
 
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TheFunkMachine

seeds have the potential to become trees.
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