Yes who knows … maybe Rob left the company because he don’t want to work again for ARM
why always this kind of speculations? There is no evidence or nearly a statement or hint about a buy option!
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
why always this kind of speculations? There is no evidence or nearly a statement or hint about a buy option!
AARONASX
Holding onto what I've got
Just recently announced, nothing mentioned about the tech just yet
2025 Mercedes-AMG G63 - G-Wagon
www.drive.com.au
2025 Mercedes-AMG G63 - G-Wagon
2025 Mercedes-AMG G63 review VIDEO: Quick drive
A G-Class EV is coming soon, but that doesn't mean the iconic V8 AMG G63 has been forgotten about.
Boab
I wish I could paint like Vincent
I'm there with ya mate, on the edge of my seatMorning Chippers ,
Google Image Result for https://i.kym-cdn.com/entries/icons/facebook/000/032/834/DtPiP_DWsAEPntc.jpg
* Just trying something.....
Regards,
Esq.
Morning Boab ,I'm there with ya mate, on the edge of my seat
This picture was posted by... Deep F...ing Value , on the US stock Gamestop.
Gamestock rocketed on the market, after a three year absence of this particular poster sharing his thoughts.
Apparently costing shorters over $1 billion USD in losses for the day.
Good stuff.
Our management might like to reach out to Deep F...ing Value ... would be extremely interesting the market reaction.
Regards,
Esq.
Kachoo
Regular
There usually is no hints of a buy out or partnership or majority holder. It's possible that Softbank could expand invest BRN being independent but working with Arm. It is possible but again we see no proof. The only thing I'm aware of is that it was stated that BRN did not want to compete with there customers selling chips ? Why who sells their chips at the moment ? Is there someone lurking to start selling these chips and as a good business partner you fo not sell? Questions we have.Yes who knows … maybe Rob left the company because he don’t want to work again for ARM
Really could be anyone that wants to sign does not need to be Arm but they must be big enough that they will wait for this deal.
In my opinion
AARONASX
Holding onto what I've got
*fingers crossed*Just recently announced, nothing mentioned about the tech just yet
2025 Mercedes-AMG G63 - G-Wagon
2025 Mercedes-AMG G63 review VIDEO: Quick drive
A G-Class EV is coming soon, but that doesn't mean the iconic V8 AMG G63 has been forgotten about.
9:15 mark, this will have the MBUX (I think this be the newer version)
and also 17:00 voice activation word "Mercedes"
Last edited:
supersonic001
Regular
Sandi Habinc on LinkedIn: We have a news! We have been awarded a European Space Agency - ESA… | 29 comments
We have a news! We have been awarded a European Space Agency - ESA contract to design a new RISC-V International compliant processor IP core tailored to meet… | 29 comments on LinkedIn
…. so do I Anil …..
Rob Telson Liked several Mercedes posts re the GWagon in the last 12 months
and there's this
BRN Discussion Ongoing
On Graimatter I was reminded of the parable of the Fox and the Grapes after reading his comment. Perhaps he is letting his backers/ investors know that they could have had a deal but it was not right at the time and so Prophesee partnering with Brainchip says nothing about his technology being...
thestockexchange.com.au
Last edited:
,Goodlord .... may have started a buying frenzy ,
Early morning trade , 350,000 units @$0.2702 , $94,564.050 , ASX , LT XT
Esq.
Linkedin post and Youtube video about DeepSouth.
It doesn't use Brainchip.
Only 100 FPGA Boards, not asynchronous and consumes 40KW of power.
Found the video interesting anyway.
https://www.linkedin.com/posts/gcha...0R?utm_source=share&utm_medium=member_desktop
It doesn't use Brainchip.
Only 100 FPGA Boards, not asynchronous and consumes 40KW of power.
Found the video interesting anyway.
https://www.linkedin.com/posts/gcha...0R?utm_source=share&utm_medium=member_desktop
HopalongPetrovski
I'm Spartacus!
Blue Horseshoe loves BrainChip!!!
Goodlord .... may have started a buying frenzy ,
Early morning trade , 350,000 units @$0.2702 , $94,564.050 , ASX , LT XT
Esq.
Damo4
Regular
Not Akida, but interesting given our connection to the Military in general.
The page loads for me on mobile, but I think there's a pay wall on PC? Copied the text below anyway.
https://fortune.com/2024/05/12/air-...rnative-gps-navigation-earth-magnetic-fields/
The Air Force is testing an AI-enabled alternative to GPS navigation that taps into the Earth’s magnetic fields
Two Air Force fighter jets recently squared off in a dogfight in California. One was flown by a pilot. The other wasn’t.
That second jet was piloted by artificial intelligence, with the Air Force’s highest-ranking civilian riding along in the front seat. It was the ultimate display of how far the Air Force has come in developing a technology with its roots in the 1950s. But it’s only a hint of the technology yet to come.
The United States is competing to stay ahead of China on AI and its use in weapon systems. The focus on AI has generated public concern that future wars will be fought by machines that select and strike targets without direct human intervention. Officials say this will never happen, at least not on the U.S. side. But there are questions about what a potential adversary would allow, and the military sees no alternative but to get U.S. capabilities fielded fast.
“Whether you want to call it a race or not, it certainly is,” said Adm. Christopher Grady, vice chairman of the Joint Chiefs of Staff. “Both of us have recognized that this will be a very critical element of the future battlefield. China’s working on it as hard as we are.”
A look at the history of military development of AI, what technologies are on the horizon and how they will be kept under control:
FROM MACHINE LEARNING TO AUTONOMY
AI’s roots in the military are actually a hybrid of machine learning and autonomy. Machine learning occurs when a computer analyzes data and rule sets to reach conclusions. Autonomy occurs when those conclusions are applied to take action without further human input.
This took an early form in the 1960s and 1970s with the development of the Navy’s Aegis missile defense system. Aegis was trained through a series of human-programmed if/then rule sets to be able to detect and intercept incoming missiles autonomously, and more rapidly than a human could. But the Aegis system was not designed to learn from its decisions and its reactions were limited to the rule set it had.
“If a system uses ‘if/then’ it is probably not machine learning, which is a field of AI that involves creating systems that learn from data,” said Air Force Lt. Col. Christopher Berardi, who is assigned to the Massachusetts Institute of Technology to assist with the Air Force’s AI development.
AI took a major step forward in 2012 when the combination of big data and advanced computing power enabled computers to begin analyzing the information and writing the rule sets themselves. It is what AI experts have called AI’s “big bang.”
The new data created by a computer writing the rules is artificial intelligence. Systems can be programmed to act autonomously from the conclusions reached from machine-written rules, which is a form of AI-enabled autonomy.
TESTING AN AI ALTERNATIVE TO GPS NAVIGATION
Air Force Secretary Frank Kendall got a taste of that advanced warfighting this month when he flew on Vista, the first F-16 fighter jet to be controlled by AI, in a dogfighting exercise over California’s Edwards Air Force Base.
While that jet is the most visible sign of the AI work underway, there are hundreds of ongoing AI projects across the Pentagon.
At MIT, service members worked to clear thousands of hours of recorded pilot conversations to create a data set from the flood of messages exchanged between crews and air operations centers during flights, so the AI could learn the difference between critical messages like a runway being closed and mundane cockpit chatter. The goal was to have the AI learn which messages are critical to elevate to ensure controllers see them faster.
In another significant project, the military is working on an AI alternative to GPS satellite-dependent navigation.
In a future war high-value GPS satellites would likely be hit or interfered with. The loss of GPS could blind U.S. communication, navigation and banking systems and make the U.S. military’s fleet of aircraft and warships less able to coordinate a response.
So last year the Air Force flew an AI program — loaded onto a laptop that was strapped to the floor of a C-17 military cargo plane — to work on an alternative solution using the Earth’s magnetic fields.
It has been known that aircraft could navigate by following the Earth’s magnetic fields, but so far that hasn’t been practical because each aircraft generates so much of its own electromagnetic noise that there has been no way good to filter for just the Earth’s emissions.
“Magnetometers are very sensitive,” said Col. Garry Floyd, director for the Department of Air Force-MIT Artificial Intelligence Accelerator program. “If you turn on the strobe lights on a C-17 we would see it.”
The AI learned through the flights and reams of data which signals to ignore and which to follow and the results “were very, very impressive,” Floyd said. “We’re talking tactical airdrop quality.”
“We think we may have added an arrow to the quiver in the things we can do, should we end up operating in a GPS-denied environment. Which we will,” Floyd said.
The AI so far has been tested only on the C-17. Other aircraft will also be tested, and if it works it could give the military another way to operate if GPS goes down.
SAFETY RAILS AND PILOT SPEAK
Vista, the AI-controlled F-16, has considerable safety rails as the Air Force trains it. There are mechanical limits that keep the still-learning AI from executing maneuvers that would put the plane in danger. There is a safety pilot, too, who can take over control from the AI with the push of a button.
The algorithm cannot learn during a flight, so each time up it has only the data and rule sets it has created from previous flights. When a new flight is over, the algorithm is transferred back onto a simulator where it is fed new data gathered in-flight to learn from, create new rule sets and improve its performance.
But the AI is learning fast. Because of the super computing speed AI uses to analyze data, and then flying those new rule sets in the simulator, its pace in finding the most efficient way to fly and maneuver has already led it to beat some human pilots in dogfighting exercises.
But safety is still a critical concern, and officials said the most important way to take safety into account is to control what data is reinserted into the simulator for the AI to learn from. In the jet’s case, it’s making sure the data reflects safe flying. Ultimately the Air Force hopes that a version of the AI being developed can serve as the brain for a fleet of 1,000 unmanned warplanes under development by General Atomics and Anduril.
In the experiment training AI on how pilots communicate, the service members assigned to MIT cleaned up the recordings to remove classified information and the pilots’ sometimes salty language.
Learning how pilots communicate is “a reflection of command and control, of how pilots think. The machines need to understand that too if they’re going to get really, really good,” said Grady, the Joint Chiefs vice chairman. “They don’t need to learn how to cuss.”
The page loads for me on mobile, but I think there's a pay wall on PC? Copied the text below anyway.
https://fortune.com/2024/05/12/air-...rnative-gps-navigation-earth-magnetic-fields/
The Air Force is testing an AI-enabled alternative to GPS navigation that taps into the Earth’s magnetic fields
Two Air Force fighter jets recently squared off in a dogfight in California. One was flown by a pilot. The other wasn’t.
That second jet was piloted by artificial intelligence, with the Air Force’s highest-ranking civilian riding along in the front seat. It was the ultimate display of how far the Air Force has come in developing a technology with its roots in the 1950s. But it’s only a hint of the technology yet to come.
The United States is competing to stay ahead of China on AI and its use in weapon systems. The focus on AI has generated public concern that future wars will be fought by machines that select and strike targets without direct human intervention. Officials say this will never happen, at least not on the U.S. side. But there are questions about what a potential adversary would allow, and the military sees no alternative but to get U.S. capabilities fielded fast.
“Whether you want to call it a race or not, it certainly is,” said Adm. Christopher Grady, vice chairman of the Joint Chiefs of Staff. “Both of us have recognized that this will be a very critical element of the future battlefield. China’s working on it as hard as we are.”
A look at the history of military development of AI, what technologies are on the horizon and how they will be kept under control:
FROM MACHINE LEARNING TO AUTONOMY
AI’s roots in the military are actually a hybrid of machine learning and autonomy. Machine learning occurs when a computer analyzes data and rule sets to reach conclusions. Autonomy occurs when those conclusions are applied to take action without further human input.
This took an early form in the 1960s and 1970s with the development of the Navy’s Aegis missile defense system. Aegis was trained through a series of human-programmed if/then rule sets to be able to detect and intercept incoming missiles autonomously, and more rapidly than a human could. But the Aegis system was not designed to learn from its decisions and its reactions were limited to the rule set it had.
“If a system uses ‘if/then’ it is probably not machine learning, which is a field of AI that involves creating systems that learn from data,” said Air Force Lt. Col. Christopher Berardi, who is assigned to the Massachusetts Institute of Technology to assist with the Air Force’s AI development.
AI took a major step forward in 2012 when the combination of big data and advanced computing power enabled computers to begin analyzing the information and writing the rule sets themselves. It is what AI experts have called AI’s “big bang.”
The new data created by a computer writing the rules is artificial intelligence. Systems can be programmed to act autonomously from the conclusions reached from machine-written rules, which is a form of AI-enabled autonomy.
TESTING AN AI ALTERNATIVE TO GPS NAVIGATION
Air Force Secretary Frank Kendall got a taste of that advanced warfighting this month when he flew on Vista, the first F-16 fighter jet to be controlled by AI, in a dogfighting exercise over California’s Edwards Air Force Base.
While that jet is the most visible sign of the AI work underway, there are hundreds of ongoing AI projects across the Pentagon.
At MIT, service members worked to clear thousands of hours of recorded pilot conversations to create a data set from the flood of messages exchanged between crews and air operations centers during flights, so the AI could learn the difference between critical messages like a runway being closed and mundane cockpit chatter. The goal was to have the AI learn which messages are critical to elevate to ensure controllers see them faster.
In another significant project, the military is working on an AI alternative to GPS satellite-dependent navigation.
In a future war high-value GPS satellites would likely be hit or interfered with. The loss of GPS could blind U.S. communication, navigation and banking systems and make the U.S. military’s fleet of aircraft and warships less able to coordinate a response.
So last year the Air Force flew an AI program — loaded onto a laptop that was strapped to the floor of a C-17 military cargo plane — to work on an alternative solution using the Earth’s magnetic fields.
It has been known that aircraft could navigate by following the Earth’s magnetic fields, but so far that hasn’t been practical because each aircraft generates so much of its own electromagnetic noise that there has been no way good to filter for just the Earth’s emissions.
“Magnetometers are very sensitive,” said Col. Garry Floyd, director for the Department of Air Force-MIT Artificial Intelligence Accelerator program. “If you turn on the strobe lights on a C-17 we would see it.”
The AI learned through the flights and reams of data which signals to ignore and which to follow and the results “were very, very impressive,” Floyd said. “We’re talking tactical airdrop quality.”
“We think we may have added an arrow to the quiver in the things we can do, should we end up operating in a GPS-denied environment. Which we will,” Floyd said.
The AI so far has been tested only on the C-17. Other aircraft will also be tested, and if it works it could give the military another way to operate if GPS goes down.
SAFETY RAILS AND PILOT SPEAK
Vista, the AI-controlled F-16, has considerable safety rails as the Air Force trains it. There are mechanical limits that keep the still-learning AI from executing maneuvers that would put the plane in danger. There is a safety pilot, too, who can take over control from the AI with the push of a button.
The algorithm cannot learn during a flight, so each time up it has only the data and rule sets it has created from previous flights. When a new flight is over, the algorithm is transferred back onto a simulator where it is fed new data gathered in-flight to learn from, create new rule sets and improve its performance.
But the AI is learning fast. Because of the super computing speed AI uses to analyze data, and then flying those new rule sets in the simulator, its pace in finding the most efficient way to fly and maneuver has already led it to beat some human pilots in dogfighting exercises.
But safety is still a critical concern, and officials said the most important way to take safety into account is to control what data is reinserted into the simulator for the AI to learn from. In the jet’s case, it’s making sure the data reflects safe flying. Ultimately the Air Force hopes that a version of the AI being developed can serve as the brain for a fleet of 1,000 unmanned warplanes under development by General Atomics and Anduril.
In the experiment training AI on how pilots communicate, the service members assigned to MIT cleaned up the recordings to remove classified information and the pilots’ sometimes salty language.
Learning how pilots communicate is “a reflection of command and control, of how pilots think. The machines need to understand that too if they’re going to get really, really good,” said Grady, the Joint Chiefs vice chairman. “They don’t need to learn how to cuss.”
Labsy
Regular
Hands up who would sell if ARM offered $2.50 a share ... I can smell it in the airYes who knows … maybe Rob left the company because he don’t want to work again for ARM
Way toooo cheap! Never ever 2.50
Kachoo
Regular
Honestly it's cheap but if they show the money more would sell them they think. Personally if they did offer the 2.5 a share I would just reinvest into Arm that money they will make money off the technology 100%
Shadow59
Regular
$2.50 doesn't appear so good once capital gains has been taken into account.
toasty
Regular
Double that and I might be tempted...........
Starbucks employee: "So, would you like a Venti Mocha today?"
Me: "No... No, a... small Cappuccino, please."
Starbucks: "Oh, I... uh... I'm sorry... is there anything else I can get for you?"
Me: "No... No... that would be all."
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