Schnitzel lover
Regular
Couldn't help myself..
Go to ARM interview at 1hr 29-30mins.. Seriously how can you not get excited when you watch this?
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Couldn't help myself..
Go to ARM interview at 1hr 29-30mins.. Seriously how can you not get excited when you watch this?
GazDix
Regular
Also the leaders in last night's action were... Intel, NVidia and AMD. I can't access the article on this device, but I read an article that wrote chip stocks and the industry have now turned a corner.
We should hopefully follow very soon. Institutions aren't getting my shares with all the shenanigans.
Happy St Paddies Day all.
Tothemoon24
Top 20
Cheers Steve10
I’m in holiday mode at the minute & feeling as sharp as a bowling ball
Cheers
chippersAttachments
Good spotting there Falling knife.
Did anyone also spot the MAKE of the vehicle in the video ??? YEP...........MERCEDES BENZ.
Yak52
Probly said this before, but Cerence has several patents which refer to NNs, but they do not describe the circuit configuration for an NN. So either they are keeping their NN circuit secret (improbable), or they are getting their NN from someone else (probable).Forgive me if I sound like a broken record because everyone who doesn't live under a rock knows about my unhealthy obsession with Cerence and everyone knows that "Cerence's Immersive Companion" for in-car voice assistant is going to be rolled out in FY23/24 and everyone knows that I would be shocked and smack-gobbed( (thanks for that one @Diogense) if it didn't involve AKIDA in some way.
So, obviously I'm eager to share this news release hot off the press.
Optimized for the in-car experience, advanced biometric capabilities in Cerence Assistant empower drivers and passengers with safe, secure interactions
Cerence has introduced its next-generation, AI-powered biometrics engine in Cerence Assistant
FacebookTwitterLinkedInShare via EmailPrint
- March 16, 2023
Cerence Inc. (NASDAQ: CRNC), AI for a world in motion, today introduced its next-generation, AI-powered biometrics engine in Cerence Assistant, providing enhanced personalization and security capabilities for the mobility experience. Powered by the latest advances in AI, Cerence Voice Biometrics is now more accurate at creating driver profiles; identifying who is speaking; and enabling deeper opportunities for safe, secure, and individualized interactions with the in-car assistant.
Available across a multitude of global languages, Cerence’s next-generation biometrics solution is optimized for automotive and mobility use cases, putting the user at the forefront with a frictionless experience, providing the highest identification accuracies in a low-footprint, embedded solution. Going beyond voice, multimodal cabin biometrics are designed to support multimodal identification throughout the cabin, offering a more convenient and secure identification and authorization process. This allows users to automatically log in to their preferred biometric modality and configure step-up authentication for sensitive tasks, providing a frictionless authentication and authorization solution that can adapt based on context. For example, drivers can identify themselves with facial recognition when starting the car, and authorize a payment with their voice while on the road.
Architected to be embedded within the car for security and convenience, Cerence Voice Biometrics is core to Cerence’s multimodal biometrics capabilities, powering a range of authenticated, personalized experiences, including:
“Biometrics is a critical piece of virtual assistant interaction, especially in cases where multiple users are interacting with a single assistant,” said Prateek Kathpal, Chief Technology Officer, Cerence. “Our next-generation biometrics engine in Cerence Assistant represents an important step in our ability to serve automakers and their drivers with a AI-powered, frictionless experience that takes minimal effort from the user but provides maximum impact in terms of personalization and security.”
- Transparent, proactive enrollment and easy sign-in – The in-car assistant can learn speakers and their unique voices with only a few interactions and proactively offer to create a voiceprint once enough voice data has been gathered. This eliminates the need for drivers and each of their passengers to set up personal profiles with prescriptive phrases. From there, each time users enter the car, they are authenticated upon their first interaction with the voice assistant, whether it’s “Good morning, Cerence,” or “Drive me to the office.”
- Authenticated interaction from outside the car – Cerence Exterior Vehicle Interaction (EVI) is a suite of AI and voice-powered innovations that enables drivers to interact with their cars from the outside. To maintain safety and security, Cerence EVC now also leverages voice biometrics to limit certain capabilities to approved users only. For example, for security-relevant functions such as unlocking the car or opening the trunk, Cerence Voice Biometrics verifies the speaker’s identity to provide an additional level of protection and security.
- Convenient and secure payments – When integrated with in-car commerce apps, Cerence Voice Biometrics is a powerful tool for authorizing payments with no extra legwork by the user. Perfect while driving, your voice interaction is passively verified, offering an uninterrupted, secure transaction.
- Next-level control – Using the technology’s age detection capabilities, in-car assistants can offer parental controls to voice interactions, limiting what functions children can activate and what content they can access, including ensuring safe web searches in the car via Cerence Browse. Similarly, smart-home connectivity commands such as “Open the garage door” can be restricted by driver profile, user, age and speaker identity.
- Easy language switch – Using Cerence Voice Biometrics, Cerence Assistant can automatically adapt the dialogue and infotainment system language to match the user’s spoken language. This allows users to interact naturally with the in-car assistant, providing a seamless and personalized experience.
Several major global automakers have signed on to deploy Cerence Voice Biometrics in their cars. For more information about Cerence biometrics, visit https://www.cerence.com/cerence-products/core-technologies. To learn more about Cerence, visit www.cerence.com, and follow the company on LinkedIn and Twitter.
SOURCE: Cerence
Optimized for the in-car experience, advanced biometric capabilities in Cerence Assistant empower drivers and passengers with safe, secure interactions | Automotive World
Cerence has introduced its next-generation, AI-powered biometrics engine in Cerence Assistantwww.automotiveworld.com
Fullmoonfever
Top 20
Great to see so much happening.
Just wait till formal Ann's start rolling out
Bit going on personally so skimming posts here and there.
Liked the find on ANT61.
Not sure if this posted already but found this article about them on Medium.
Awesome to see the AWS / Amazon accelerator connection as well as Mass Robotics.
While no mention of Akida at this point, you'd like to think ANT61's partners well aware of us through ANT now as well.
AWS accelerating ANT61 development in space
Naturally, as a young company, we’ve started by simultaneously running into multiple directions: creating prototypes of our future technology, researching problems worth solving, sizing opportunities and building partnerships.
We have applied to several acceleration programs, and several of them accepted us, so we were fortunate to pick the ones we wanted to do. AWS Robotics, led together by AWS and Mass Robotics from Boston.
Here we would like to share our experience with AWS Robotics and talk about the program and how it challenged and propelled us further than we thought.
Following the program, we’ve been selected by Amazon to exhibit our first on-orbit service prototype at Re:MARS 2022 . If you also plan to be there, we’d be happy to catch up and talk the AWS Robotics program, our takeaways and future plans. Find us in the Tech Showcase area!
First and foremost, we’ve met a great mentor, Matthew Hanson, who has decades of experience in robotic system architecture and is one of the key robotic experts in AWS. His contribution to our success is invaluable and deserves a separate article!
Secondly, we’ve built our first digital prototype of the satellite repair robot and have validated our autonomous control system technology in accurate simulation.
The third and precious outcome: we’ve tapped into AWS ML engineers’ wisdom, significantly reduced our robot’s training costs, and took our AI game to the next level.
All of that in the record-break time and with the intense focus!
We have been very fortunate to have the one and only Matthew Hanson.
Matthew Hanson
Matt has a great experience in robotics architecture, everything from control systems, planning, behaviour, autonomy, simulations and of course, everything at AWS that has Robotics.
He understands the startup’s unique challenges and has helped us find the quickest path to our goal. Matthew is also very supportive of our cause of sustainable development in space, which means a lot.
As a new business in a conservative industry like space, forming a support group around your team is very important.
Matt was one of the first people who believed in us from the start when we didn’t have much to show except for our prior experience, ambition, hard work and tenacity. He has contributed to everything we did during the program and was kind enough to continue working with us after the program, doing everything he could to help us succeed. We will always remain grateful to Matt, and hopefully, one day, we’ll find a great way to reward him in return.
Since the AWS acceleration program is just four weeks, we won’t have time to develop all systems from scratch. Our main goal was to learn as much as possible about the spacecraft’s control systems and how robotic manipulators can be used for docking and repairing the satellite. And we’ve decided to learn from the best and used NASA’s Astrobee robot that has already flown in ISS as the base for our on-orbit servicing machine.
Astrobee robot on ISS
As a result, we’ve been able to apply our ML-based control systems to demonstrate that our robot can autonomously match orbit with a satellite and safely reach out to it.
You can see the simulation video from our AWS Robotics Accelerator Demo day.
At ANT61, we use Deep Reinforcement Learning to teach our robots skills that they can apply for autonomous installation. This approach means that our robots get better at their tasks simply by trying many-many times, rather than us writing slightly better code for them every day.
Reinforcement Learning is still a very new area of Deep Learning. It is akin to gold mining: you have the general directions where to look, but the rich vein can only be found by trying to dig in many places and analysing the results. Our AI engineers always experiment with various algorithms, reward regimes and parameters to get better and more consistent results. The more experiments we can run, the higher our chances of success. On average, one robot takes about two weeks of 24x7 work to learn an essential skill like drilling a hole in a wall with reasonably quality. It will then take several times more training hours to perfect this skill.
Time is our most precious resource, and compressing the time it takes us to determine whether the experiment is successful is very important in our business.
One of the great perks of the accelerator is direct access to senior engineers at AWS. Our mentor, Matthew Hanson, has linked us to the engineers in the AWS Sagemaker team, who provided us with some paths we could try to reduce our costs and run the distributed training of thousands of robots on the same budget.
Now the experiments take only hours instead of weeks, and we can run multiple experiments in parallel without breaking the bank.
Quantity ➩ Speed of Innovation
The ability to run multiple experiments, generating years-worth of the data in just a few hours, allowed us to significantly step up our game and use the RL techniques that are usually unavailable to robotics due to the high cost of each data point. Now we can run unsupervised hyper-parameter tuning and neural architecture search.
Essentially, instead of humans coming up with a new experiment to improve our training regimes, AI generates these experiments.
AI that is training other AIs.
As Károly Szolnai-Fehér says, What a time to be alive!
Just wait till formal Ann's start rolling out
Bit going on personally so skimming posts here and there.
Liked the find on ANT61.
Not sure if this posted already but found this article about them on Medium.
Awesome to see the AWS / Amazon accelerator connection as well as Mass Robotics.
While no mention of Akida at this point, you'd like to think ANT61's partners well aware of us through ANT now as well.
ANT61 accelerated by AWS
AWS accelerating ANT61 development in space
ANT61
ANT61 is a robotics & AI startup founded in the second half of 2021. Our main goal is to enable sustainable development in space and back on Earth; we believe that autonomous robots are the way to go about it.Naturally, as a young company, we’ve started by simultaneously running into multiple directions: creating prototypes of our future technology, researching problems worth solving, sizing opportunities and building partnerships.
We have applied to several acceleration programs, and several of them accepted us, so we were fortunate to pick the ones we wanted to do. AWS Robotics, led together by AWS and Mass Robotics from Boston.
Here we would like to share our experience with AWS Robotics and talk about the program and how it challenged and propelled us further than we thought.
Following the program, we’ve been selected by Amazon to exhibit our first on-orbit service prototype at Re:MARS 2022 . If you also plan to be there, we’d be happy to catch up and talk the AWS Robotics program, our takeaways and future plans. Find us in the Tech Showcase area!
The program
AWS Robotics is a 4-week program that balances the workshops on business, technology, marketing and customer acquisition with dedicated 1:1 mentorship sessions. One of the program’s goals is to build something new and move your MVP or POC one step forward on technology and product lines.The outcomes
We have received three primary outcomes from this program.First and foremost, we’ve met a great mentor, Matthew Hanson, who has decades of experience in robotic system architecture and is one of the key robotic experts in AWS. His contribution to our success is invaluable and deserves a separate article!
Secondly, we’ve built our first digital prototype of the satellite repair robot and have validated our autonomous control system technology in accurate simulation.
The third and precious outcome: we’ve tapped into AWS ML engineers’ wisdom, significantly reduced our robot’s training costs, and took our AI game to the next level.
All of that in the record-break time and with the intense focus!
Outcome #1: The mentor
Every startup in the AWS Robotics Accelerator program is assigned a mentor.We have been very fortunate to have the one and only Matthew Hanson.
Matthew Hanson
Matt has a great experience in robotics architecture, everything from control systems, planning, behaviour, autonomy, simulations and of course, everything at AWS that has Robotics.
He understands the startup’s unique challenges and has helped us find the quickest path to our goal. Matthew is also very supportive of our cause of sustainable development in space, which means a lot.
As a new business in a conservative industry like space, forming a support group around your team is very important.
Matt was one of the first people who believed in us from the start when we didn’t have much to show except for our prior experience, ambition, hard work and tenacity. He has contributed to everything we did during the program and was kind enough to continue working with us after the program, doing everything he could to help us succeed. We will always remain grateful to Matt, and hopefully, one day, we’ll find a great way to reward him in return.
Outcome #2: The space MVP
The period of our AWS Robotics acceleration program coincided with our Space Accelerator run with the support of the Australian Space Agency in Adelaide. We were actively looking into the on-orbit repair and servicing and thought it would be great to build the first virtual prototype of our future space robot with AWS.Since the AWS acceleration program is just four weeks, we won’t have time to develop all systems from scratch. Our main goal was to learn as much as possible about the spacecraft’s control systems and how robotic manipulators can be used for docking and repairing the satellite. And we’ve decided to learn from the best and used NASA’s Astrobee robot that has already flown in ISS as the base for our on-orbit servicing machine.
Astrobee robot on ISS
As a result, we’ve been able to apply our ML-based control systems to demonstrate that our robot can autonomously match orbit with a satellite and safely reach out to it.
You can see the simulation video from our AWS Robotics Accelerator Demo day.
Outcome #3: The next-level AI training
The price of the experimentAt ANT61, we use Deep Reinforcement Learning to teach our robots skills that they can apply for autonomous installation. This approach means that our robots get better at their tasks simply by trying many-many times, rather than us writing slightly better code for them every day.
Reinforcement Learning is still a very new area of Deep Learning. It is akin to gold mining: you have the general directions where to look, but the rich vein can only be found by trying to dig in many places and analysing the results. Our AI engineers always experiment with various algorithms, reward regimes and parameters to get better and more consistent results. The more experiments we can run, the higher our chances of success. On average, one robot takes about two weeks of 24x7 work to learn an essential skill like drilling a hole in a wall with reasonably quality. It will then take several times more training hours to perfect this skill.
Time is our most precious resource, and compressing the time it takes us to determine whether the experiment is successful is very important in our business.
AWS=scale
Even before the accelerator, we have already been using multi-agent training, where experience from several robots is accumulated to train one brain, which is then deployed to the whole fleet, and the training continues. However, our budget severely limited how many robots we could run in parallel.One of the great perks of the accelerator is direct access to senior engineers at AWS. Our mentor, Matthew Hanson, has linked us to the engineers in the AWS Sagemaker team, who provided us with some paths we could try to reduce our costs and run the distributed training of thousands of robots on the same budget.
Now the experiments take only hours instead of weeks, and we can run multiple experiments in parallel without breaking the bank.
Quantity ➩ Speed of Innovation
The ability to run multiple experiments, generating years-worth of the data in just a few hours, allowed us to significantly step up our game and use the RL techniques that are usually unavailable to robotics due to the high cost of each data point. Now we can run unsupervised hyper-parameter tuning and neural architecture search.
Essentially, instead of humans coming up with a new experiment to improve our training regimes, AI generates these experiments.
AI that is training other AIs.
As Károly Szolnai-Fehér says, What a time to be alive!
D
Deleted member 2799
Guest
Hey!!
I know that reports from the HC forum are not popular here… sorry for that in advance, however, this post caught my attention... NVIDIA patents
“
https://patents.google.com/patent/US20220067531A1/en
US20220067531 - EFFICIENT IDENTIFICATION OF CRITICAL FAULTS IN NEUROMORPHIC HARDWARE OF A NEURAL NETWORK
https://patents.google.com/patent/EP3745318A1/en
Training a neural network using selective weight updates”
Speculations about possible licensing with brainchip…!?
Has this been discussed here before?
What do you think about it?
I know that reports from the HC forum are not popular here… sorry for that in advance, however, this post caught my attention... NVIDIA patents
“
https://patents.google.com/patent/US20220067531A1/en
US20220067531 - EFFICIENT IDENTIFICATION OF CRITICAL FAULTS IN NEUROMORPHIC HARDWARE OF A NEURAL NETWORK
https://patents.google.com/patent/EP3745318A1/en
Training a neural network using selective weight updates”
Speculations about possible licensing with brainchip…!?
Has this been discussed here before?
What do you think about it?
Fullmoonfever
Top 20
Great to see so much happening.
Just wait till formal Ann's start rolling out
Bit going on personally so skimming posts here and there.
Liked the find on ANT61.
Not sure if this posted already but found this article about them on Medium.
Awesome to see the AWS / Amazon accelerator connection as well as Mass Robotics.
While no mention of Akida at this point, you'd like to think ANT61's partners well aware of us through ANT now as well.
ANT61 accelerated by AWS
AWS accelerating ANT61 development in space
ANT61
ANT61 is a robotics & AI startup founded in the second half of 2021. Our main goal is to enable sustainable development in space and back on Earth; we believe that autonomous robots are the way to go about it.
Naturally, as a young company, we’ve started by simultaneously running into multiple directions: creating prototypes of our future technology, researching problems worth solving, sizing opportunities and building partnerships.
We have applied to several acceleration programs, and several of them accepted us, so we were fortunate to pick the ones we wanted to do. AWS Robotics, led together by AWS and Mass Robotics from Boston.
Here we would like to share our experience with AWS Robotics and talk about the program and how it challenged and propelled us further than we thought.
Following the program, we’ve been selected by Amazon to exhibit our first on-orbit service prototype at Re:MARS 2022 . If you also plan to be there, we’d be happy to catch up and talk the AWS Robotics program, our takeaways and future plans. Find us in the Tech Showcase area!
The program
AWS Robotics is a 4-week program that balances the workshops on business, technology, marketing and customer acquisition with dedicated 1:1 mentorship sessions. One of the program’s goals is to build something new and move your MVP or POC one step forward on technology and product lines.
The outcomes
We have received three primary outcomes from this program.
First and foremost, we’ve met a great mentor, Matthew Hanson, who has decades of experience in robotic system architecture and is one of the key robotic experts in AWS. His contribution to our success is invaluable and deserves a separate article!
Secondly, we’ve built our first digital prototype of the satellite repair robot and have validated our autonomous control system technology in accurate simulation.
The third and precious outcome: we’ve tapped into AWS ML engineers’ wisdom, significantly reduced our robot’s training costs, and took our AI game to the next level.
All of that in the record-break time and with the intense focus!
Outcome #1: The mentor
Every startup in the AWS Robotics Accelerator program is assigned a mentor.
We have been very fortunate to have the one and only Matthew Hanson.
Matthew Hanson
Matt has a great experience in robotics architecture, everything from control systems, planning, behaviour, autonomy, simulations and of course, everything at AWS that has Robotics.
He understands the startup’s unique challenges and has helped us find the quickest path to our goal. Matthew is also very supportive of our cause of sustainable development in space, which means a lot.
As a new business in a conservative industry like space, forming a support group around your team is very important.
Matt was one of the first people who believed in us from the start when we didn’t have much to show except for our prior experience, ambition, hard work and tenacity. He has contributed to everything we did during the program and was kind enough to continue working with us after the program, doing everything he could to help us succeed. We will always remain grateful to Matt, and hopefully, one day, we’ll find a great way to reward him in return.
Outcome #2: The space MVP
The period of our AWS Robotics acceleration program coincided with our Space Accelerator run with the support of the Australian Space Agency in Adelaide. We were actively looking into the on-orbit repair and servicing and thought it would be great to build the first virtual prototype of our future space robot with AWS.
Since the AWS acceleration program is just four weeks, we won’t have time to develop all systems from scratch. Our main goal was to learn as much as possible about the spacecraft’s control systems and how robotic manipulators can be used for docking and repairing the satellite. And we’ve decided to learn from the best and used NASA’s Astrobee robot that has already flown in ISS as the base for our on-orbit servicing machine.
Astrobee robot on ISS
As a result, we’ve been able to apply our ML-based control systems to demonstrate that our robot can autonomously match orbit with a satellite and safely reach out to it.
You can see the simulation video from our AWS Robotics Accelerator Demo day.
Outcome #3: The next-level AI training
The price of the experiment
At ANT61, we use Deep Reinforcement Learning to teach our robots skills that they can apply for autonomous installation. This approach means that our robots get better at their tasks simply by trying many-many times, rather than us writing slightly better code for them every day.
Reinforcement Learning is still a very new area of Deep Learning. It is akin to gold mining: you have the general directions where to look, but the rich vein can only be found by trying to dig in many places and analysing the results. Our AI engineers always experiment with various algorithms, reward regimes and parameters to get better and more consistent results. The more experiments we can run, the higher our chances of success. On average, one robot takes about two weeks of 24x7 work to learn an essential skill like drilling a hole in a wall with reasonably quality. It will then take several times more training hours to perfect this skill.
Time is our most precious resource, and compressing the time it takes us to determine whether the experiment is successful is very important in our business.
AWS=scale
Even before the accelerator, we have already been using multi-agent training, where experience from several robots is accumulated to train one brain, which is then deployed to the whole fleet, and the training continues. However, our budget severely limited how many robots we could run in parallel.
One of the great perks of the accelerator is direct access to senior engineers at AWS. Our mentor, Matthew Hanson, has linked us to the engineers in the AWS Sagemaker team, who provided us with some paths we could try to reduce our costs and run the distributed training of thousands of robots on the same budget.
Now the experiments take only hours instead of weeks, and we can run multiple experiments in parallel without breaking the bank.
Quantity ➩ Speed of Innovation
The ability to run multiple experiments, generating years-worth of the data in just a few hours, allowed us to significantly step up our game and use the RL techniques that are usually unavailable to robotics due to the high cost of each data point. Now we can run unsupervised hyper-parameter tuning and neural architecture search.
Essentially, instead of humans coming up with a new experiment to improve our training regimes, AI generates these experiments.
AI that is training other AIs.
As Károly Szolnai-Fehér says, What a time to be alive!
ANT also exhibited at the Aus Space Forum in Oct jointly with these guys.
Haven't looked at their connections yet.
Fullmoonfever
Top 20
DingoBorat
Slim
Jim Chalmers is doing more than changing the way we tax super – he is also changing the way we tax capital gains
In drawing up plans to more effectively tax large superannuation accounts, Treasurer Jim Chalmers might have stumbled upon an idea that, applied more broadly, could tax rich Australians like the rest of us, writes Peter Martin.
The Henry Review said collecting tax only on "realisation" (when assets were sold) rather than "accrual" (as they grew in value) encouraged investors to hold on to shares and property to delay paying tax — a response it called "lock-in".
This is pretty sucky for us, as this article is saying we could have to pay capital gains tax, on the increase in "value" of shares and property..
It will certainly be a bit of a leveler..
So if BrainChip has a breakout year, due to traction in revenue, NASDAQ listing, multiple IP deals etc, for that tax year.
Then you will have to pay Capital Gains tax, for that year, regardless of whether you sold shares.
In our case, these gains could be substantial and the only way to pay, will be by selling shares or other assets.
The tax man sucks eggs..
gex
Regular
WTAF
Jim Chalmers is doing more than changing the way we tax super – he is also changing the way we tax capital gains
In drawing up plans to more effectively tax large superannuation accounts, Treasurer Jim Chalmers might have stumbled upon an idea that, applied more broadly, could tax rich Australians like the rest of us, writes Peter Martin.www.abc.net.au
The Henry Review said collecting tax only on "realisation" (when assets were sold) rather than "accrual" (as they grew in value) encouraged investors to hold on to shares and property to delay paying tax — a response it called "lock-in".
This is pretty sucky for us, as this article is saying we could have to pay capital gains tax, on the increase in "value" of shares and property..
It will certainly be a bit of a leveler..
So if BrainChip has a breakout year, due to traction in revenue, NASDAQ listing, multiple IP deals etc, for that tax year.
Then you will have to pay Capital Gains tax, for that year, regardless of whether you sold shares.
In our case, these gains could be substantial and the only way to pay, will be by selling shares or other assets.
The tax man sucks eggs..
BaconLover
Founding Member
Jim Chalmers is doing more than changing the way we tax super – he is also changing the way we tax capital gains
In drawing up plans to more effectively tax large superannuation accounts, Treasurer Jim Chalmers might have stumbled upon an idea that, applied more broadly, could tax rich Australians like the rest of us, writes Peter Martin.
The Henry Review said collecting tax only on "realisation" (when assets were sold) rather than "accrual" (as they grew in value) encouraged investors to hold on to shares and property to delay paying tax — a response it called "lock-in".
This is pretty sucky for us, as this article is saying we could have to pay capital gains tax, on the increase in "value" of shares and property..
It will certainly be a bit of a leveler..
So if BrainChip has a breakout year, due to traction in revenue, NASDAQ listing, multiple IP deals etc, for that tax year.
Then you will have to pay Capital Gains tax, for that year, regardless of whether you sold shares.
In our case, these gains could be substantial and the only way to pay, will be by selling shares or other assets.
The tax man sucks eggs..
Luckily for us, we have the option to work more hours, for less money.
They did not have any of these agendas prior to election either.
Quite a nice way of thanking the voters
Boab
I wish I could paint like Vincent
That is just insaneJim Chalmers is doing more than changing the way we tax super – he is also changing the way we tax capital gains
In drawing up plans to more effectively tax large superannuation accounts, Treasurer Jim Chalmers might have stumbled upon an idea that, applied more broadly, could tax rich Australians like the rest of us, writes Peter Martin.
The Henry Review said collecting tax only on "realisation" (when assets were sold) rather than "accrual" (as they grew in value) encouraged investors to hold on to shares and property to delay paying tax — a response it called "lock-in".
This is pretty sucky for us, as this article is saying we could have to pay capital gains tax, on the increase in "value" of shares and property..
It will certainly be a bit of a leveler..
So if BrainChip has a breakout year, due to traction in revenue, NASDAQ listing, multiple IP deals etc, for that tax year.
Then you will have to pay Capital Gains tax, for that year, regardless of whether you sold shares.
In our case, these gains could be substantial and the only way to pay, will be by selling shares or other assets.
The tax man sucks eggs..
DingoBorat
Slim
For illustration purposes, what "could" be introduced at some point..Jim Chalmers is doing more than changing the way we tax super – he is also changing the way we tax capital gains
In drawing up plans to more effectively tax large superannuation accounts, Treasurer Jim Chalmers might have stumbled upon an idea that, applied more broadly, could tax rich Australians like the rest of us, writes Peter Martin.
The Henry Review said collecting tax only on "realisation" (when assets were sold) rather than "accrual" (as they grew in value) encouraged investors to hold on to shares and property to delay paying tax — a response it called "lock-in".
This is pretty sucky for us, as this article is saying we could have to pay capital gains tax, on the increase in "value" of shares and property..
It will certainly be a bit of a leveler..
So if BrainChip has a breakout year, due to traction in revenue, NASDAQ listing, multiple IP deals etc, for that tax year.
Then you will have to pay Capital Gains tax, for that year, regardless of whether you sold shares.
In our case, these gains could be substantial and the only way to pay, will be by selling shares or other assets.
The tax man sucks eggs..
If you had 400000 BRN shares at 50 cents (200k) at the beginning of the tax year and they finished that tax year at $2 (800k)..
Then you would have a Capital Gain of $600000.
At a tax rate of 20% you would be up for $120000 tax, on top of whatever other tax you pay.
This will have huge implications for those wanting to create generational wealth..
If a share you invested in was a 10 bagger or more?..
Last edited:
HopalongPetrovski
I'm Spartacus!
Buying, building, manning and maintaining nuclear subs aint cheap and those Tomahawks they are gonna be throwing around are about two million a pop (torpedoes are exie too) and the Chinese navy currently has about 350 ships and rapidly rising.Jim Chalmers is doing more than changing the way we tax super – he is also changing the way we tax capital gains
In drawing up plans to more effectively tax large superannuation accounts, Treasurer Jim Chalmers might have stumbled upon an idea that, applied more broadly, could tax rich Australians like the rest of us, writes Peter Martin.
The Henry Review said collecting tax only on "realisation" (when assets were sold) rather than "accrual" (as they grew in value) encouraged investors to hold on to shares and property to delay paying tax — a response it called "lock-in".
This is pretty sucky for us, as this article is saying we could have to pay capital gains tax, on the increase in "value" of shares and property..
It will certainly be a bit of a leveler..
So if BrainChip has a breakout year, due to traction in revenue, NASDAQ listing, multiple IP deals etc, for that tax year.
Then you will have to pay Capital Gains tax, for that year, regardless of whether you sold shares.
In our case, these gains could be substantial and the only way to pay, will be by selling shares or other assets.
The tax man sucks eggs..
Bravo
If ARM was an arm, BRN would be its biceps💪!
The one thing that Cerence + Smart Eye + Mercedes all have in common is NVIDIA DRIVE IX.
Confused? So am I, but there's a reason why it has been suggested that NVDIA are more like a partner to us, than a competitor.
- Nvidia worked with Mercedes-Benz on MBUX Hyperscreen.
- And there are the vehicles running Nvidia-powered Cerence Look using eye-tracking from Smart Eye, such as the Mercedes-Benz EQS.
- #25,287
- The article (link) below states:
- "Using NVIDIA GPU technology, Smart Eye has been able to speed up its cabin-monitoring system — which consists of 10 deep neural networks running in parallel — by more than 10x"
- "In-vehicle technology companies Cerence, Smart Eye, Rightware and DSP Concepts are now using the platform to deliver intelligent features for every vehicle occupant."
Confused? So am I, but there's a reason why it has been suggested that NVDIA are more like a partner to us, than a competitor.
Inside AI: NVIDIA DRIVE Ecosystem Creates Pioneering In-Cabin Features With NVIDIA DRIVE IX
Cerence, Smart Eye, Rightware and DSP Concepts are now using the DRIVE IX platform to deliver intelligent features for every passenger.
blogs.nvidia.com
GazDix
Regular
Jim Chalmers is doing more than changing the way we tax super – he is also changing the way we tax capital gains
In drawing up plans to more effectively tax large superannuation accounts, Treasurer Jim Chalmers might have stumbled upon an idea that, applied more broadly, could tax rich Australians like the rest of us, writes Peter Martin.
The Henry Review said collecting tax only on "realisation" (when assets were sold) rather than "accrual" (as they grew in value) encouraged investors to hold on to shares and property to delay paying tax — a response it called "lock-in".
This is pretty sucky for us, as this article is saying we could have to pay capital gains tax, on the increase in "value" of shares and property..
It will certainly be a bit of a leveler..
So if BrainChip has a breakout year, due to traction in revenue, NASDAQ listing, multiple IP deals etc, for that tax year.
Then you will have to pay Capital Gains tax, for that year, regardless of whether you sold shares.
In our case, these gains could be substantial and the only way to pay, will be by selling shares or other assets.
The tax man sucks eggs..
I am not sure of the source, but here is no way this can happen without breaking down the whole ASX.
Imagine the sell down of shares and speculation in June of every year?!
How can a CGT tax discount can be reversed that if you hold longer you are punished?
Create a nation of traders? How can any company get equity and operate normally?
I really don't like the govenrment at the moment with all this AUKUS bollocks going on, but this will never happen IMO. I guess though we need to find money to pay all those billions for those stupid submarines.
DingoBorat
Slim
I'm with you on the subs.
I think "retired" politicians, are worth listening to..
Ones that aren't retired?
Not so much..
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