It was just satire..
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oh I…..I…ok uhmmm honestly sorry
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Jacob Kiraz
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I feel we are ahead of the game but we had to wait till the industry was ready, I believe the gap is closing,Once it kicks off companies will follow in a mad panic, But the A.I needs to gather momentum
Me too!
yesterday I made the point of no returnHere is also a interesting article from Japan regarding ARM
“
Nvidia partnered with Arm and obtained an intellectual property license to develop the next-generation GPU system “Vera Rubin.” This system was productized as a superchip composed of the “Vera CPU” and the “Rubin GPU” (shown in the photo below).
In developing the Vera CPU, Nvidia licensed “Olympus” from Arm and, based on it, created its own proprietary 88-core CPU (the light-blue chip in the photo below). Rubin functions as the GPU, executing numerical computations at extremely high speed (the two gold-colored chips), while Vera functions as the CPU, handling tasks such as system control. Core software like Linux runs on Vera, which manages and controls the entire system.”
“Nvidia also offers the processor “Jetson Thor” for robots and autonomous driving (shown in the photo below), and here again the CPU portion adopts Arm’s architecture. Jetson Thor is a single-chip System-on-Chip (SoC) design, integrating the GPU “Nvidia Blackwell” and the CPU “Arm Neoverse-V3AE” on one chip. The CPU belongs to Arm’s “Neoverse” family—specifically the high-end “V-Series,” which is used for cloud and AI processors.
Nuro, a company developing autonomous driving technology, built autonomous delivery vehicles using Nvidia’s edge processor (shown in the photo below). It applies robotaxi technology to retail stores, operating them as “supermarkets on wheels.” These vehicles use “NVIDIA DRIVE AGX Thor” as the car’s brain. Arm is responsible for the CPU part of this processor, which runs system control and manages overall operation.
In robotaxis and humanoid robots, AI processors from Nvidia and Qualcomm are being adopted, and product development is advancing with a wide variety of products being released. While GPUs and NPUs—the “engines” of edge processors—attract most of the attention, Arm-based CPUs play a crucial role behind the scenes. GPUs and NPUs are positioned as numerical computation engines within AI systems, whereas CPUs run the base software and control the entire system, coordinating efficient computation. Many edge processors use the Arm architecture, which ensures software compatibility and enables systems to run across different semiconductor platforms. Arm is expanding its business from digital domains such as the cloud into physical domains such as robotics, quietly supporting the AI boom from behind the scenes.”
etechnologyreview.com
“
Nvidia partnered with Arm and obtained an intellectual property license to develop the next-generation GPU system “Vera Rubin.” This system was productized as a superchip composed of the “Vera CPU” and the “Rubin GPU” (shown in the photo below).
In developing the Vera CPU, Nvidia licensed “Olympus” from Arm and, based on it, created its own proprietary 88-core CPU (the light-blue chip in the photo below). Rubin functions as the GPU, executing numerical computations at extremely high speed (the two gold-colored chips), while Vera functions as the CPU, handling tasks such as system control. Core software like Linux runs on Vera, which manages and controls the entire system.”
“Nvidia also offers the processor “Jetson Thor” for robots and autonomous driving (shown in the photo below), and here again the CPU portion adopts Arm’s architecture. Jetson Thor is a single-chip System-on-Chip (SoC) design, integrating the GPU “Nvidia Blackwell” and the CPU “Arm Neoverse-V3AE” on one chip. The CPU belongs to Arm’s “Neoverse” family—specifically the high-end “V-Series,” which is used for cloud and AI processors.
Nuro, a company developing autonomous driving technology, built autonomous delivery vehicles using Nvidia’s edge processor (shown in the photo below). It applies robotaxi technology to retail stores, operating them as “supermarkets on wheels.” These vehicles use “NVIDIA DRIVE AGX Thor” as the car’s brain. Arm is responsible for the CPU part of this processor, which runs system control and manages overall operation.
In robotaxis and humanoid robots, AI processors from Nvidia and Qualcomm are being adopted, and product development is advancing with a wide variety of products being released. While GPUs and NPUs—the “engines” of edge processors—attract most of the attention, Arm-based CPUs play a crucial role behind the scenes. GPUs and NPUs are positioned as numerical computation engines within AI systems, whereas CPUs run the base software and control the entire system, coordinating efficient computation. Many edge processors use the Arm architecture, which ensures software compatibility and enables systems to run across different semiconductor platforms. Arm is expanding its business from digital domains such as the cloud into physical domains such as robotics, quietly supporting the AI boom from behind the scenes.”
Armは事業戦略を「フィジカルAI」に大転換、AIチップの「CPU」部分を担いロボットの頭脳を構成、ヒューマノイドとロボタクシーの製品開発が急進
Armはプロセッサ開発会社でRISCベースのアーキテクチャを開発している。Armは主要プロセッサで採用され世界…
etechnologyreview.com
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And a interesting statement from chatty..Here is also a interesting article from Japan regarding ARM
“
Nvidia partnered with Arm and obtained an intellectual property license to develop the next-generation GPU system “Vera Rubin.” This system was productized as a superchip composed of the “Vera CPU” and the “Rubin GPU” (shown in the photo below).
In developing the Vera CPU, Nvidia licensed “Olympus” from Arm and, based on it, created its own proprietary 88-core CPU (the light-blue chip in the photo below). Rubin functions as the GPU, executing numerical computations at extremely high speed (the two gold-colored chips), while Vera functions as the CPU, handling tasks such as system control. Core software like Linux runs on Vera, which manages and controls the entire system.”
“Nvidia also offers the processor “Jetson Thor” for robots and autonomous driving (shown in the photo below), and here again the CPU portion adopts Arm’s architecture. Jetson Thor is a single-chip System-on-Chip (SoC) design, integrating the GPU “Nvidia Blackwell” and the CPU “Arm Neoverse-V3AE” on one chip. The CPU belongs to Arm’s “Neoverse” family—specifically the high-end “V-Series,” which is used for cloud and AI processors.
Nuro, a company developing autonomous driving technology, built autonomous delivery vehicles using Nvidia’s edge processor (shown in the photo below). It applies robotaxi technology to retail stores, operating them as “supermarkets on wheels.” These vehicles use “NVIDIA DRIVE AGX Thor” as the car’s brain. Arm is responsible for the CPU part of this processor, which runs system control and manages overall operation.
In robotaxis and humanoid robots, AI processors from Nvidia and Qualcomm are being adopted, and product development is advancing with a wide variety of products being released. While GPUs and NPUs—the “engines” of edge processors—attract most of the attention, Arm-based CPUs play a crucial role behind the scenes. GPUs and NPUs are positioned as numerical computation engines within AI systems, whereas CPUs run the base software and control the entire system, coordinating efficient computation. Many edge processors use the Arm architecture, which ensures software compatibility and enables systems to run across different semiconductor platforms. Arm is expanding its business from digital domains such as the cloud into physical domains such as robotics, quietly supporting the AI boom from behind the scenes.”
Armは事業戦略を「フィジカルAI」に大転換、AIチップの「CPU」部分を担いロボットの頭脳を構成、ヒューマノイドとロボタクシーの製品開発が急進
Armはプロセッサ開発会社でRISCベースのアーキテクチャを開発している。Armは主要プロセッサで採用され世界…
“The article basically describes the standard pattern: Arm-based CPU as the control plane (OS, scheduling, I/O) and GPU/NPU as the compute engine. In that kind of architecture, an additional accelerator like Akida could in principle exist — not necessarily inside the superchip, but as a system-level component.
Plausible Akida links to this:
- Edge/Robotics/Auto is more plausible than Datacenter. Jetson/DRIVE runs an Arm CPU side for control/OS and a GPU/NPU side for heavy compute. That’s exactly where a low-power “always-on” co-processor could make sense (pre-filtering, event detection, wake-up triggers, small models), while the big GPU only ramps when needed.
- “Behind the scenes” it wouldn’t be magic — it’s standard integration: PCIe/SPI + drivers/runtime, controlled by the host CPU (often Arm-based).
- BrainChip also isn’t only pushing IP licensing; they’ve communicated plans to bring AKD1500 into volume production, which lowers the barrier for OEMs/Tier-1s to add it as a component rather than designing a full custom ASIC.
And they wouldn’t have to name Brainchip or Akida…
Food4 thought
Regular
Been there for a few years and it’s not as fabulous as one might think when it’s going in the wrong direction.Me too!
We just have to hope that we are somehow on the right track and the right bus
I just hope the bus is facing a really steep hill right now and, as a result, when the driver tries to pull away it rolls back a little because he doesn’t quite nail the brake/clutch/throttle combo. One quick stomp on the gas and then the diesel engine finally comes alive with its torque.Been there for a few years and it’s not as fabulous as one might think when it’s going in the wrong direction.
We just have to hope that we are somehow on the right track and the right bus
AI real time traffic control in Athens
“In a pilot deployment around Athens, Greece, one AI-enabled traffic camera recorded more than 1,000 traffic violations in just four days on busy urban roads. That camera alone flagged drivers for using mobile phones while driving, failing to wear seatbelts, speeding, and other risky behavior. Across just eight cameras operating in the pilot, authorities logged roughly 2,500 violations in that same period.
This system represents the next generation of automated enforcement, going well beyond traditional speed or red-light cameras, and it is part of a broader global trend that raises questions about safety, privacy, and the future of policing on American roads.”
www.yahoo.com
“In a pilot deployment around Athens, Greece, one AI-enabled traffic camera recorded more than 1,000 traffic violations in just four days on busy urban roads. That camera alone flagged drivers for using mobile phones while driving, failing to wear seatbelts, speeding, and other risky behavior. Across just eight cameras operating in the pilot, authorities logged roughly 2,500 violations in that same period.
This system represents the next generation of automated enforcement, going well beyond traditional speed or red-light cameras, and it is part of a broader global trend that raises questions about safety, privacy, and the future of policing on American roads.”
1,000 Tickets in Four Days: AI Traffic Cameras Are Rolling Out Fast and Drivers Are Getting Caught
For decades, American drivers have fretted about red-light cameras and speed traps. Now a new breed of traffic cop is rolling out worldwide — silent, automated, and powered by artificial intelligence, and it is racking ... Read more
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I’m still paying off in nearly $2500 in fines for being caught using my mobile while driving not once but twice, just imagine all the shares I could have brought not being so stupidAI real time traffic control in Athens
“In a pilot deployment around Athens, Greece, one AI-enabled traffic camera recorded more than 1,000 traffic violations in just four days on busy urban roads. That camera alone flagged drivers for using mobile phones while driving, failing to wear seatbelts, speeding, and other risky behavior. Across just eight cameras operating in the pilot, authorities logged roughly 2,500 violations in that same period.
This system represents the next generation of automated enforcement, going well beyond traditional speed or red-light cameras, and it is part of a broader global trend that raises questions about safety, privacy, and the future of policing on American roads.”
1,000 Tickets in Four Days: AI Traffic Cameras Are Rolling Out Fast and Drivers Are Getting Caught
For decades, American drivers have fretted about red-light cameras and speed traps. Now a new breed of traffic cop is rolling out worldwide — silent, automated, and powered by artificial intelligence, and it is racking ... Read more
At least you are self reflectedI’m still paying off in nearly $2500 in fines for being caught using my mobile while driving not once but twice, just imagine all the shares I could have brought not being so stupid
hope you learned your lesson
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Have one of those phone holders in my car, problem was it was a rental and another persons car I was driving at the time that never had one. How’s ya luckAt least you are self reflected
Have one of those phone holders in my car, problem was it was a rental and another persons car I was driving at the time that never had one. How’s ya luck
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<h1>Brainchip Akida: A Neuromorphic Processor Already on the Market</h1>
The Akida neuromorphic chip processes information only when it detects a stimulus, mimicking the brain. This event-based architecture enables extreme energy efficiency, ideal for integrating artificial intelligence into battery-powered autonomous devices, such as sensors or wearables.
foro3d.com
Have one of those phone holders in my car, problem was it was a rental and another persons car I was driving at the time that never had one. How’s ya luck
Get Rokid Max 2, you can watch youpom, browse this forum while driving
Nice, and some shareholders still think we're sinking.... dream on, yes it's taking a lot longer than we and the company had envisioned, but to bury one's head in the sand and continue to sulk, well, you certainly would never work at Brainchip with that attitude, knock backs, time delays, design issues, foundry delays, clients indecision, business models changing, geopolitical issues, Covid-19 etc etc etc it is what it is!
BrainChip Akida https://brainchip.com/ip/ | Thomas Hülsing
BrainChip Akida https://brainchip.com/ip/www.linkedin.com
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But to deny that we haven't advanced despite all the above hurdles would only indicate one thing, you'd be a complete fool.
Love Akida, our day is coming, just be a little more patient if that suits your personality.
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