Pom down under
Top 20
Maybe he could see another way earning loads more money incoperating Akida into a product himself or through another company, why wouldn’t you.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
I don't think we'll her anything for either Anil or Peter.
I think they both will just be focusing on their retirement now.
Sean is probably one foot out the door too. Wouldn't want to be him going into the next AGM
Pom down under
Top 20
Pom down under
Top 20
I’ll be more than happy with the price again around the 20, but without news this is the way it looks like it’s heading especially with the large amount of shorts being taken out.
Stable Genius
Regular
It’s a bit blurry but nice to see GR716B on display front and centre.
Unfortunately I can’t make out their descriptions of the product.
www.linkedin.com
GR716B launch today: no mention of Brainchip in the PR but it’s my opinion Akida is the RTA upgrade from the GR716A version.
I think it will be worth the wait.
Unfortunately I can’t make out their descriptions of the product.
Frontgrade Gaisler on LinkedIn: #spacecomputing #radhard #sparc #riscv
Today we had the pleasure to extend our warm welcom to Director Dietmar Pilz and section head Kostas Marinis to our booth for a fruitful discussion on future…
GR716B launch today: no mention of Brainchip in the PR but it’s my opinion Akida is the RTA upgrade from the GR716A version.
Frontgrade Gaisler Unveils GR716B, a New Standard in Space-Grade Microcontrollers
Frontgrade Gaisler has launched its latest radiation-hardened microcontroller, the GR716B. Building on the success of the GR716A, this latest innovati
www.businesswire.com
I think it will be worth the wait.
rgupta
Regular
Shorters are having a feast and we got a dummy management.
Dyor
cosors
👀
They will get them.
"4,000 AI-controlled drones from Germany for Ukraine
21 hours agoFor the first time, Germany is supplying Ukraine with combat drones. They are controlled by a newly developed artificial intelligence. What can the drones do?
It is the software that makes the new drone stand out: together with a Ukrainian manufacturer, the German AI company Helsing has developed a combat drone that can reportedly fly to its targets autonomously. Once programmed, a so-called kamikaze drone flies independently to its target and attacks it. When it hits its target, it detonates and is destroyed in the process.
The government in Kyiv is now receiving 4,000 of these combat drones, equipped with AI developed in Germany. For security reasons, both sides kept the technical details and the exact location of the production secret. So far, no photos of the drone have been released.
“Undermining electronic defense”
Federal Defense Minister Boris Pistorius (SPD) only revealed some general information about the new combat drone: “These are drones that are able to reach 30-40 kilometers into the hinterland, which can attack command posts, logistics nodes and more.” The drone has the ability “to get around this and still reach the target, even if it is disrupted by the enemy's electronic defense,” Pistorius added.Most drones are controlled by radio, some also by GPS. With the help of jammers, they can be diverted from their course and crash. Drones that can overcome the enemy's electronic defenses therefore represent a major strategic advantage.
He had seen the prototype of the drone in Ukraine a few months ago, the German defense minister added. He was convinced that these drones were “a really important asset” for Ukraine. So far, Germany has only supplied reconnaissance drones to Ukraine as part of its military aid . However, German Chancellor Olaf Scholz (SPD) maintains his position of not supplying any Taurus cruise missiles to Ukraine, which could be used to attack targets far inside Russian territory.
Drones as a replacement for artillery
Drones are omnipresent on the battlefield in Ukraine. Both Russians and Ukrainians use them by the hundreds of thousands. Russia repeatedly uses drones to attack civilian targets and infrastructure in Ukraine. The Ukrainian armed forces also use drones to compensate for the lack of artillery and ammunition. They make do with inexpensive remote-controlled drones, which they equip with explosives and use against Russian positions.AI for military purposes
Helsing is a Munich-based company specializing in the development of AI applications for the defense sector. Since its founding in 2021, the company has landed a number of defense industry contracts. Among other things, Helsing is working on the electronic warfare capabilities of the German Eurofighter and on the AI infrastructure for the “Future Combat Air System” (FCAS), the combat aircraft of the future."
4000 KI-gesteuerte Drohnen aus Deutschland für die Ukraine – DW – 19.11.2024
Erstmals liefert Deutschland der Ukraine Kampfdrohnen. Sie werden von einer neu entwickelten Künstlichen Intelligenz gelenkt. Was können die Drohnen leisten?
Last edited:
Pom down under
Top 20
They are only dummies to certain people until we get a price sensitive announce, but we are running out of time very fast and things will get very unpleasant across forums next year if nothing before Xmas.
Frangipani
Regular
It’s a bit blurry but nice to see GR716B on display front and centre.
Unfortunately I can’t make out their descriptions of the product.
Frontgrade Gaisler on LinkedIn: #spacecomputing #radhard #sparc #riscv
Today we had the pleasure to extend our warm welcom to Director Dietmar Pilz and section head Kostas Marinis to our booth for a fruitful discussion on future…
View attachment 73110
GR716B launch today: no mention of Brainchip in the PR but it’s my opinion Akida is the RTA upgrade from the GR716A version.
Frontgrade Gaisler Unveils GR716B, a New Standard in Space-Grade Microcontrollers
Frontgrade Gaisler has launched its latest radiation-hardened microcontroller, the GR716B. Building on the success of the GR716A, this latest innovatiwww.businesswire.com
I think it will be worth the wait.
Hi Stable Genius,
according to ESA’s NEUROSPACE webpage (https://activities.esa.int/4000145267), we are less than half-way through Frontgrade Gaisler’s exploration of integrating BrainChip IP into their next-generation microprocessor design on FPGA that “seeks not only to demonstrate the advantages of neuromorphic computing but also to lay the groundwork for a product that could be commercialized in the future.”
Regards,
Frangipani
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-441022
Stable Genius
Regular
Completely agree @Frangipani we still have a wait. It’s often the unknown which causes the angst. I don’t mind in this case because unlike most of our partners/customers the timeframe with FG is known.
Even though it’s some time off; there is a target end date easily within my timeframes. 
Pom down under
Top 20
Guess what
Didn’t appear to include Brainchip did it ?
Pom down under
Top 20
Pom down under
Top 20
cosors
👀
Off topic but quite interesting!
...or off topic for now
"Digital light: New LED technology brings intelligence and precision to the illumination of tomorrow’s world
...
...
Breakthrough in semiconductor technology
The idea first came as long as 20 years ago: to make a high-resolution projection light source with a new type of LED chip formed of an array of micrometer-scale points of light. But to divide the semiconductor area of a conventional square millimeter LED chip into a matrix of thousands of just a few micrometers sized light-pixels called for a series of technical breakthroughs in basic physics, in semiconductor fabrication, and in materials science."
...or off topic for now
"Digital light: New LED technology brings intelligence and precision to the illumination of tomorrow’s world
...
...
Breakthrough in semiconductor technology
The idea first came as long as 20 years ago: to make a high-resolution projection light source with a new type of LED chip formed of an array of micrometer-scale points of light. But to divide the semiconductor area of a conventional square millimeter LED chip into a matrix of thousands of just a few micrometers sized light-pixels called for a series of technical breakthroughs in basic physics, in semiconductor fabrication, and in materials science."
Stable Genius
Regular
Nice mention from FG:
www.linkedin.com
Frontgrade Gaisler on LinkedIn: #spacecomputing
Today we had a visit from the European Space Agency - ESA and BrainChip in our booth at Space Tech Expo Europe. Visit us to learn more about our collaboration…
Bravo
If ARM was an arm, BRN would be its biceps💪!
These guys are using Prohpesee's event-based camera to create a navigation system that allows low-cost drones to navigate reliably without GPS.
Neuromorphic Camera Helps Drones Navigate Without GPS
5 hours ago
3 min read
Edd Gent is a Contributing Editor for IEEE Spectrum.
Researchers are testing new hybrid imaging and inertial-guidance tech (pictured) that could enable drones to navigate even in GPS-denied environments.
Satellite-based navigation is the bedrock of most modern positioning systems, but it can’t always be relied on. Two companies are now joining forces to create a GPS-free navigation system for drones by fusing neuromorphic sensing technology with an inertial navigation system (INS).
GPS relies on receiver units that communicate wirelessly with a network of satellites to triangulate the user’s location with incredible precision. But these signals are vulnerable to interference from large buildings, dense foliage, or extreme weather and can even be deliberately jammed using spoofed radio signals.
This has prompted the design of alternative navigation approaches that can be used when GPS fails, but they have limitations. INS use sensors like accelerometers and gyroscopes to track a vehicle’s location from a known starting point. However, small measurement errors accumulate over time and can ultimately cause a gradual drift in positioning accuracy. Visual navigation systems use cameras to scan the terrain below an aircraft and work out where it is, but this takes considerable computing and data resources that put it out of reach for smaller, less expensive vehicles.
“The two things together really neatly solve navigating in a challenging, GPS-denied environment. You can travel really long distances over a really long time.”—Chris Shaw, Advanced Navigation
A pair of navigation technology companies has now teamed up to merge the approaches and get the best of both worlds. NILEQ, a subsidiary of British missile-maker MBDA based in Bristol, UK, makes a low-power visual navigation system that relies on neuromorphic cameras. This will now be integrated with a fiber optic-based INS developed by Advanced Navigation in Sydney, Australia, to create a positioning system that lets low-cost drones navigate reliably without GPS.
“The two things together really neatly solve navigating in a challenging, GPS-denied environment,” says Advanced Navigation’s CEO Chris Shaw. “You can travel really long distances over a really long time.”
When deciding on a navigation system for a vehicle there is always a price to performance trade-off, says Shaw. It typically doesn’t make sense to install expensive, high accuracy INS on a low-cost platform like a drone, but smaller, cheaper ones are more prone to positioning drift. “Sometimes it could be just 10, 20 minutes, before you start to get such a big error growth that the position accuracy is not good enough,” says Shaw.
NILEQ’s system significantly reduces the resources required for visual navigation by using a neuromorphic camera. Inspired by the way the human retina works, these devices don’t capture a series of images, but instead track changes in brightness across the sensor’s individual pixels. This generates far less data and operates at much higher speeds than a conventional camera.
“Using the neuromorphic camera alongside low-cost, inexpensive inertial sensors [provides] a big cost and size benefit.”—Chris Shaw, Advanced Navigation
The company says its proprietary algorithms process the camera output in real-time to create a terrain fingerprint for the particular patch of land the vehicle is passing over. This is then compared against a database of terrain fingerprints generated from satellite imagery, which is stored on the vehicle. The process of creating these fingerprints compresses the data, according to Phil Houghton, head of future concepting at MBDA. “This means that the size of the database loaded onto the host platform is trivial and searching it in real-time requires minimal computation,” he adds.
On the other hand, neuromorphic cameras are not currently able to operate using infrared, says Houghton, which would enable nighttime operations. But infrared neuromorphic cameras are currently under development and should be available in the next few years, he says.
Neuromorphic cameras are more expensive than conventional ones, often costing in the region of $1000, says Shaw. But this is balanced out by the fact that they can be combined with much cheaper INS. “Some really high-end navigation systems might run into the hundreds of thousands of dollars,” he says. “This approach of using the neuromorphic camera alongside low-cost, inexpensive inertial sensors, there’s a big cost and size benefit.”
Beyond providing the INS, Advanced Navigation will also use its AI-powered sensor fusion software to combine the outputs of the two technologies and provide a single, reliable location reading that can be used by a drone’s navigation system in much the same way as a GPS signal. “A lot of customers in this space want something they can just basically plug in and there’s no big learning curve,” says Shaw. “They don’t want any of the details.”
The companies are planning to start flight trials of the combined navigation system later this year, adds Shaw, with the goal of getting the product into customers hands by the middle of 2025.
spectrum.ieee.org
Neuromorphic Camera Helps Drones Navigate Without GPS
High-end positioning tech comes to low-cost UAVs
Edd Gent5 hours ago
3 min read
Edd Gent is a Contributing Editor for IEEE Spectrum.
Researchers are testing new hybrid imaging and inertial-guidance tech (pictured) that could enable drones to navigate even in GPS-denied environments.
Satellite-based navigation is the bedrock of most modern positioning systems, but it can’t always be relied on. Two companies are now joining forces to create a GPS-free navigation system for drones by fusing neuromorphic sensing technology with an inertial navigation system (INS).
GPS relies on receiver units that communicate wirelessly with a network of satellites to triangulate the user’s location with incredible precision. But these signals are vulnerable to interference from large buildings, dense foliage, or extreme weather and can even be deliberately jammed using spoofed radio signals.
This has prompted the design of alternative navigation approaches that can be used when GPS fails, but they have limitations. INS use sensors like accelerometers and gyroscopes to track a vehicle’s location from a known starting point. However, small measurement errors accumulate over time and can ultimately cause a gradual drift in positioning accuracy. Visual navigation systems use cameras to scan the terrain below an aircraft and work out where it is, but this takes considerable computing and data resources that put it out of reach for smaller, less expensive vehicles.
“The two things together really neatly solve navigating in a challenging, GPS-denied environment. You can travel really long distances over a really long time.”—Chris Shaw, Advanced Navigation
A pair of navigation technology companies has now teamed up to merge the approaches and get the best of both worlds. NILEQ, a subsidiary of British missile-maker MBDA based in Bristol, UK, makes a low-power visual navigation system that relies on neuromorphic cameras. This will now be integrated with a fiber optic-based INS developed by Advanced Navigation in Sydney, Australia, to create a positioning system that lets low-cost drones navigate reliably without GPS.
“The two things together really neatly solve navigating in a challenging, GPS-denied environment,” says Advanced Navigation’s CEO Chris Shaw. “You can travel really long distances over a really long time.”
When deciding on a navigation system for a vehicle there is always a price to performance trade-off, says Shaw. It typically doesn’t make sense to install expensive, high accuracy INS on a low-cost platform like a drone, but smaller, cheaper ones are more prone to positioning drift. “Sometimes it could be just 10, 20 minutes, before you start to get such a big error growth that the position accuracy is not good enough,” says Shaw.
Ditching GPS for Cameras
A visual navigation system can provide a workaround by giving the INS high accuracy position updates at regular intervals, which it can use to recalibrate its location. But the high resolution cameras used in these systems generate huge amounts of data, and this has to be compared against a massive database of satellite imagery using computationally expensive algorithms. Fitting these kinds of computational resources on a small and power-constrained vehicle like a drone is typically not feasible.NILEQ’s system significantly reduces the resources required for visual navigation by using a neuromorphic camera. Inspired by the way the human retina works, these devices don’t capture a series of images, but instead track changes in brightness across the sensor’s individual pixels. This generates far less data and operates at much higher speeds than a conventional camera.
“Using the neuromorphic camera alongside low-cost, inexpensive inertial sensors [provides] a big cost and size benefit.”—Chris Shaw, Advanced Navigation
The company says its proprietary algorithms process the camera output in real-time to create a terrain fingerprint for the particular patch of land the vehicle is passing over. This is then compared against a database of terrain fingerprints generated from satellite imagery, which is stored on the vehicle. The process of creating these fingerprints compresses the data, according to Phil Houghton, head of future concepting at MBDA. “This means that the size of the database loaded onto the host platform is trivial and searching it in real-time requires minimal computation,” he adds.
On the other hand, neuromorphic cameras are not currently able to operate using infrared, says Houghton, which would enable nighttime operations. But infrared neuromorphic cameras are currently under development and should be available in the next few years, he says.
Neuromorphic cameras are more expensive than conventional ones, often costing in the region of $1000, says Shaw. But this is balanced out by the fact that they can be combined with much cheaper INS. “Some really high-end navigation systems might run into the hundreds of thousands of dollars,” he says. “This approach of using the neuromorphic camera alongside low-cost, inexpensive inertial sensors, there’s a big cost and size benefit.”
Beyond providing the INS, Advanced Navigation will also use its AI-powered sensor fusion software to combine the outputs of the two technologies and provide a single, reliable location reading that can be used by a drone’s navigation system in much the same way as a GPS signal. “A lot of customers in this space want something they can just basically plug in and there’s no big learning curve,” says Shaw. “They don’t want any of the details.”
The companies are planning to start flight trials of the combined navigation system later this year, adds Shaw, with the goal of getting the product into customers hands by the middle of 2025.
Neuromorphic Camera Helps Drones Navigate GPS-free
High-end positioning tech comes to low-cost UAVs
spectrum.ieee.org
Valeo have a division working on intelligent lighting.Off topic but quite interesting!
...or off topic for now
"Digital light: New LED technology brings intelligence and precision to the illumination of tomorrow’s world
...
View attachment 73125
...
Breakthrough in semiconductor technology
The idea first came as long as 20 years ago: to make a high-resolution projection light source with a new type of LED chip formed of an array of micrometer-scale points of light. But to divide the semiconductor area of a conventional square millimeter LED chip into a matrix of thousands of just a few micrometers sized light-pixels called for a series of technical breakthroughs in basic physics, in semiconductor fabrication, and in materials science."
Similar threads
