uiux
Regular
No clue, I think it'd take some serious expert knowledge to calc that
I put this together tho to visualise physical sizes
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
No clue, I think it'd take some serious expert knowledge to calc that
I put this together tho to visualise physical sizes
What's the name of this ASX investor guy ?.
Some great insights emanate from his blogs', I find all them most intriguing. He has a good " head on his shoulders " attitude to all of his subject matter.
It would be nice for him to reveal more of his insights into the Brainchip story as he perceives it currently, perhaps he will in the near future. Hope so.
Anyway chippers, our future, in Brainchip, is looking more assured as time progresses, this, I have know doubts about now.
Akida Ballista beckons, >>>>>> The AKIDA revolution is nigh IMHO <<<<<< Hopefully !!!
hotty...
uiux
Regular
Can I get my working out double checked on this please.
I did put it to the crowd to fact check last time with no negative feedback. Feel free to fact check this as required.
supersonic001
Regular
A couple of partners in here ……. Are we undercover
We do not need to do anything more with LDA until next year. Our obligation is to raise another A$15M no later than 31-Dec-23. We have not decided when we will do that yet but will keep our eye on the market and of course our cash balances which are adequate for now.
As long as the predicted revenue starts to flow and increase into the 2023 year, well, raising another 15M by the contracted timeline will
mean not (hopefully) having to issue many shares, the nearer we move towards 31 Dec 2023 I'd be wanting to see our share price well
north of $3.00 by that point...some of you will be thinking that, that's possibly a rather light prediction, but the truth is, not even the company
can forward predict what the share price will be starting into 2024, and that's even being in the box seat !
Tech x
As long as the predicted revenue starts to flow and increase into the 2023 year, well, raising another 15M by the contracted timeline will
mean not (hopefully) having to issue many shares, the nearer we move towards 31 Dec 2023 I'd be wanting to see our share price well
north of $3.00 by that point...some of you will be thinking that, that's possibly a rather light prediction, but the truth is, not even the company
can forward predict what the share price will be starting into 2024, and that's even being in the box seat !
Tech x
Bravo
If ARM was an arm, BRN would be its biceps💪!
Not jumping to any conclusionsbut this is what comes up on Unity's Partners page on their website.
View attachment 14043
View attachment 14044
Hey Team,
I just wanted to re-visit the Unity Technologies and Mercedes collaboration because I believe there are several important points that are worth highlighting, particularly considering BrainChip has obviously worked VERY SUCCESSFULLY with Unity on the new infotainment operating system which was previewed in the truly amasing Mercedes Vision EQXX concept car - given Akida was/is the actual AI brain-power behind the EQXX infotainment system.
In my humble opinion, I think it would be very unlike if Unity didn't want to pursue other projects with BrainChip especially since together they successfully developed visuals that are " like nothing you've ever seen in the car industry".
- DId you know that "Unity Technologies is an expert in real-time 3D platforms and powers 70 per cent of all mobile games on the market. It is also a leader in augmented and virtual reality technologies".
- The new Unity MB.OS is set to debut in 2024 across the Mercedes vehicle portfolio.
- One article says "Unity's game engine elevates the UI to a new level of digital luxury, with new 3D capabilities and visuals that are like nothing you've ever seen in the car industry".
- One article says "Keep an eye out for more innovations from Unity that enhance HMI design and development". Could this be hinting that further collaborations with BrainChip may be in the pipe-line?
DYOR!
B x
Mercedes-Benz Introducing Unity-Powered Operating System In 2024MY | Carscoops
The Mercedes-Benz Operating System will include audio and video streaming
www.carscoops.com
‘Screens are the new horsepower’: Leading luxury auto brand innovates with Unity
Unity is partnering with Mercedes-Benz AG to power the infotainment domain of its new operating system, which will roll out across its vehicle portfolio. The first vehicles running MB.OS and Unity hit the road in 2024.
Mercedes-Benz pairs with game engine developer for MB.OS
Unity Technologies has been selected as the company that will provide the platform for Mercedes-Benz to develop its MB.OS infotainment.
Mercedes-Benz Will Introduce A New Operating System In Its Models 2024 » EVsuporter
The new operating system, called Mercedes-Benz Operating System, or MB.OS, will be developed by Unity Technologies and will replace the existing MBUX
evsuporter.com
Bravo
If ARM was an arm, BRN would be its biceps💪!
Oh, Wow! I hope @BaconLover doesn't mind me re-posting his post from earlier in March about Unity. This is ABSOLUTE gold!
PLEEEEEEEEEEEEEEEEAAASE come back @BaconLover! We all miss you too much!!!!!!!!!
Click here for Bacon's full post - #4,118
PLEEEEEEEEEEEEEEEEAAASE come back @BaconLover! We all miss you too much!!!!!!!!!
Click here for Bacon's full post - #4,118
Hi ui,
My understanding is that the 7nm is the size of the smallest line thickness they can produce using the particular lithographic etching technique. This would reduce the size of the transistors and the distance between them, but there may not be a direct linear size reduction.
Getting down to the smaller sizes, they use FinFET, where the transistor is turned on its side so the "area" dimension is perpendicular to the plane of the silicon, and the thickness determines how much space the transistor takes up on the chip. I suppose that the transistor density for FinFET must factor in the layer thickness and the number of layers.
I think the limit on the actual size of the silicon chip would be determined by the external wires. With the identical circuit layout, they still have to attach the same number of external wires, and that gets very fiddly.
Bravo
If ARM was an arm, BRN would be its biceps💪!
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".
Gizmodo | The Future Is Here
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Bravo
If ARM was an arm, BRN would be its biceps💪!
I like this A LOT! Is it too early in the day to pop open as bottle of champers? 
www.popsci.com
Mercedes vehicles will soon be getting game-quality graphics on their hyperscreens
A company called Unity Technologies will be powering the operating system for future Mercedes-Benz vehicles in 2024. Here's how.
www.popsci.com
To coin a metaphor salad, could these dots make a 2-way street?I like this A LOT! Is it too early in the day to pop open as bottle of champers?
View attachment 14131
Mercedes vehicles will soon be getting game-quality graphics on their hyperscreens
A company called Unity Technologies will be powering the operating system for future Mercedes-Benz vehicles in 2024. Here's how.
Unity is used in 720 of the top 1000 games. Would spikes add a little spice to their performance?
Footnote: Champagne is approved for breakfast, lunch, dinner or as required.
equanimous
Norse clairvoyant shapeshifter goddess
Is Mercedez F1 team utilizing Akida??
www.afr.com
www.motorsport.com
Instead, the most exciting aspect for both the team and its partner was in how they both planned to drive forward the use of AI and ML in F1.
Neuromorphic Computing for Autonomous Racing
With the rise of successful uses of artificial intelligence (AI) and machine learning (ML) for a wide variety of applications in the last decade, there has been a corresponding increase in interest in applying AI and ML methods to develop intelligent autonomous systems
Algorithm: EONS For training and designing an SNN for this task, we use Evolutionary Optimization for Neuromorphic Systems (EONS) [22]. EONS is based on evolutionary algorithms and trains SNNs for deployment to neuromorphic hardware
We use the LIDAR sensor as the observation, and we utilize information about distance traveled, collisions, and laps completed as part of our fitness evaluation
SUMMARY AND FUTURE WORK Here, we demonstrate a workflow for training a neuromorphic SNN in simulation targeting a particular hardware platform. We demonstrate the success of that workflow on an autonomous racing task. Our next step is to deploy the SNN shown in Figure 4 to 𝜇Caspian and integrate 𝜇Caspian onto the physical car shown in Figure 1.
www.osti.gov
www.jumpstartmag.com
How Formula 1 uses machine learning to spice up races
To help make racing safer for drivers, yet more exciting for viewers, Formula One has turned to cloud computing.
How Red Bull plans to take AI in F1 to the next level
Instead, the most exciting aspect for both the team and its partner was in how they both planned to drive forward the use of AI and ML in F1.
Neuromorphic Computing for Autonomous Racing
With the rise of successful uses of artificial intelligence (AI) and machine learning (ML) for a wide variety of applications in the last decade, there has been a corresponding increase in interest in applying AI and ML methods to develop intelligent autonomous systems
Algorithm: EONS For training and designing an SNN for this task, we use Evolutionary Optimization for Neuromorphic Systems (EONS) [22]. EONS is based on evolutionary algorithms and trains SNNs for deployment to neuromorphic hardware
We use the LIDAR sensor as the observation, and we utilize information about distance traveled, collisions, and laps completed as part of our fitness evaluation
SUMMARY AND FUTURE WORK Here, we demonstrate a workflow for training a neuromorphic SNN in simulation targeting a particular hardware platform. We demonstrate the success of that workflow on an autonomous racing task. Our next step is to deploy the SNN shown in Figure 4 to 𝜇Caspian and integrate 𝜇Caspian onto the physical car shown in Figure 1.
Neuromorphic Computing for Autonomous Racing (Conference) | OSTI.GOV
The U.S. Department of Energy's Office of Scientific and Technical Information
www.osti.gov
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Yes indeed, because who wouldn't want to "spike" things up a bit?
Ladies
Gents (or visa-versa)
You'd want to be bow-legged to wear those.Yes indeed, because who wouldn't want to "spike" things up a bit?
Ladies
View attachment 14135
Gents (or visa-versa)
View attachment 14138
Bravo
If ARM was an arm, BRN would be its biceps💪!
equanimous
Norse clairvoyant shapeshifter goddess
AI/ML vs Human. Who will win
Slymeat
Move on, nothing to see.
Quote attributed to Shakespeare, but who knows. "What manner of man is this, who approaches with balls in parenthesis?"
D
Deleted member 118
Guest
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...Navigating Driver Privacy and Safety of Electric Vehicles, Self-Driving Vehicles
August 15, 2021 by Editorial Team Leave a Comment
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
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