BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Fastback6666
Regular
Hopefully Valeo are happy to use v1.0 Akida on their sensors and they are integrated into MB.OS! Hopefully they’re not waiting for v2.0…..View attachment 43831
View attachment 43829
New Mercedes car as the 'electric future of desire'
The Mercedes-Benz Concept CLA Class showcases future technologies and design that are coming to the upcoming small car.www.newsweek.com
Some major partner product has to break soon surely!
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Please stop posting. Your words have no value.
chapman89
Founding Member
Valeo are using akida 1000 as that was available back in 2019/2020.
Valeo originally announced the partnership back in 2020 and in November 2021 officially announced to the world the reveal of Scala3 which would have been based on akida 1000, which Lidar is a simple use case for akida 1000.
Even if Valeo decided now or even in 2022 that they wanted to use somebody else it would have been too late as the design and prototype would have take years, as it has now.
Fastback6666
Regular
Very true! The big commercial money making MB news hopefully soon.
Fastback6666
Regular
I agree with you there 100%. Also when I say v1.0 I did mean Akida 1000
Once a company has invested years of dev and testing time in they are not going to move on too quick that is for sure. Get those Akida 1000 products out the door!
The shorts are rising and they are banking on a cap raise for BRN and we don’t want to give that to them…let’s get some sustaining revenue.
Schnitzel lover
Regular
I’d like it to reverse engineer the algorithms that keep causing 5 phone calls a day from China and Nigeria..I keep challenging myself. “Name a single electronic device in the world that can NOT be improved with Akida technology?” Still can’t think of one….the future is bright
Evening Chippers ,
Less talk & get the F%$k on with it.
www.cnbc.com
Esq.
Less talk & get the F%$k on with it.
BMW, Mercedes launch biggest EV push yet to catch Tesla with new models
At the IAA Mobility motor show in Munich, Germany, BMW and Mercedes revealed electric concept cars and new platforms for their future battery-powered vehicles.
Esq.
Schnitzel lover
Regular
So you’re saying that through a process of deduction that the next or one after next half yearly accounts will contain some juicy numbers to postulate over?
chapman89
Founding Member
Personally I’m not expecting revenue the next quarter, but the December quarter yes, from Megachips, Renesas and possibly Valeo? I’m not sure of when Brainchip gets paid by Valeo, the latest I’d suspect would be the March quarter which of course is announced in April.
By December we should have a license or two which then we would have the licensing payments as well show up.
Talking not Typing: Continental and Google Cloud Equip Cars with Generative Artificial Intelligence
New partnership between Continental and Google Cloud to create intuitive user experience for drivers
ow.ly
Learning
Learning to the Top 🕵♂️
"Hardware, zonal controller, data consolidation & intelligence power management" Very carefully words.
www.linkedin.com
Learning
Very carefully words. Christophe Périllat on LinkedIn: It's a great pleasure to be at IAA Mobility 2023! This morning, during…
It's a great pleasure to be at IAA Mobility 2023! This morning, during our press conference at our booth, I took the opportunity to present our new Software…
Learning
Fullmoonfever
Top 20
Just having a surf before crashing and don't recall this article posted but...we find so many hey 
We get our mention with GF towards the end. These guys think there's a positive future too
www.sourcengine.com
Though, there might be storm clouds on the horizon for artificial intelligence (AI). Despite the recent popularity of artificial intelligence programs like ChatGPT, further development might be hampered. This hinges on the decision of the U.S. Supreme Court’s two cases involving search algorithms. The result of which might not be fully realized until years into the future.
What is a neuropathic semiconductor? To start, neuro is about the human body’s nervous system, including the brain, and its synaptic connections within its nerves. Neuropathic semiconductors have synapses and neurons that are like the human brain. With the ability to process and memorize information, the synaptic device receives signals from neurons, translates them by connection strength (synaptic weight), and stores the information. Each signal and the corresponding synaptic weight can enable pattern recognition.
This pattern recognition was used in further developing the neuropathic semiconductor. The device was implemented with an artificial neural network where its learning pattern uses the synaptic device to establish handwriting pattern recognition. Its artificial intelligence (AI) semiconductor was proven to have a handwriting recognition rate of 96.77%.
Dr. Kim and Dr. Kwon’s research team plans to conduct follow-up research on other low-power artificial intelligence devices, like their neuromorphic semiconductors and wearable edging devices. “Our next-generation neuromorphic semiconductor device does not require CPU and memory,” the research team said. “It can simultaneously process and store information and learns and recognizes images such as handwriting patterns. It is expected to be applied to various low-power artificial intelligence devices such as world-class neuromorphic hardware systems, haptic devices, and vision sensors.”
This development comes as GlobalFoundries (GF) aids in the creation of next-gen vision and computing technologies like neuropathic semiconductors. BrainChip, the world’s first company to develop ultra-low-power, event-based neuromorphic AI IP, utilized GF technology to advance its neuromorphic tech further. GF’s low-leakage FD SOI platform was used for BrainChip’s AKD1500 chip. This collaboration will empower further advances in neuromorphic technology over the coming years, paired with continual research by teams like KIMS.
By partnering with large original chip manufacturers (OCMs), mass production of these smart, human-brain-like devices will become more commonplace in technology. When it does, it's sure to exciting growth in areas such as AI and machine learning.
We get our mention with GF towards the end. These guys think there's a positive future too
Semiconductor Industry News - November 2024 Update | Sourcengine
Updates on the semiconductor industry, technology breakthroughs, and the latest news on electronic component market trends and chip design.
www.sourcengine.com
The Future of AI Search and Neuromorphic Semiconductors Gain Success - March 3, 2023
Innovation is racing ahead. Now that the chip shortage is winding down and components are increasing in availability, researchers are picking up where they left off. Recent breakthroughs in neuromorphic semiconductors put these brain-like chips on the fast track to further tech integration. With artificial intelligent search features and chatbots, the smarter the chips power them, the more accurate they become.Though, there might be storm clouds on the horizon for artificial intelligence (AI). Despite the recent popularity of artificial intelligence programs like ChatGPT, further development might be hampered. This hinges on the decision of the U.S. Supreme Court’s two cases involving search algorithms. The result of which might not be fully realized until years into the future.
Neuromorphic Semiconductor Device Success and its Future
Chips are becoming more human at every turn. Dr. Yong-hun Kim and Dr. Jeong-Dae Kwon at the Surface & Nano Materials Division at the Korea Institute of Materials Science (KIMS) and their team have “successfully developed the world’s first neuromorphic semiconductor device with high-density and high-reliability by developing a thin film of lithium-ion battery materials.” The new technology was produced by combining ultra-thin lithium ions with two-dimensional nanomaterials. The results of this research were published in late 2022 within ACS Applied Materials & Interfaces.What is a neuropathic semiconductor? To start, neuro is about the human body’s nervous system, including the brain, and its synaptic connections within its nerves. Neuropathic semiconductors have synapses and neurons that are like the human brain. With the ability to process and memorize information, the synaptic device receives signals from neurons, translates them by connection strength (synaptic weight), and stores the information. Each signal and the corresponding synaptic weight can enable pattern recognition.
This pattern recognition was used in further developing the neuropathic semiconductor. The device was implemented with an artificial neural network where its learning pattern uses the synaptic device to establish handwriting pattern recognition. Its artificial intelligence (AI) semiconductor was proven to have a handwriting recognition rate of 96.77%.
Dr. Kim and Dr. Kwon’s research team plans to conduct follow-up research on other low-power artificial intelligence devices, like their neuromorphic semiconductors and wearable edging devices. “Our next-generation neuromorphic semiconductor device does not require CPU and memory,” the research team said. “It can simultaneously process and store information and learns and recognizes images such as handwriting patterns. It is expected to be applied to various low-power artificial intelligence devices such as world-class neuromorphic hardware systems, haptic devices, and vision sensors.”
This development comes as GlobalFoundries (GF) aids in the creation of next-gen vision and computing technologies like neuropathic semiconductors. BrainChip, the world’s first company to develop ultra-low-power, event-based neuromorphic AI IP, utilized GF technology to advance its neuromorphic tech further. GF’s low-leakage FD SOI platform was used for BrainChip’s AKD1500 chip. This collaboration will empower further advances in neuromorphic technology over the coming years, paired with continual research by teams like KIMS.
By partnering with large original chip manufacturers (OCMs), mass production of these smart, human-brain-like devices will become more commonplace in technology. When it does, it's sure to exciting growth in areas such as AI and machine learning.
cosors
👀
Interesting! Now I assume what information the artificial intelligence used to compare two stocks. The comparison seemed so absurd to me that I let it off in the bar.Just having a surf before crashing and don't recall this article posted but...we find so many hey
We get our mention with GF towards the end. These guys think there's a positive future too
Semiconductor Industry News - November 2024 Update | Sourcengine
Updates on the semiconductor industry, technology breakthroughs, and the latest news on electronic component market trends and chip design.
The Future of AI Search and Neuromorphic Semiconductors Gain Success - March 3, 2023
Innovation is racing ahead. Now that the chip shortage is winding down and components are increasing in availability, researchers are picking up where they left off. Recent breakthroughs in neuromorphic semiconductors put these brain-like chips on the fast track to further tech integration. With artificial intelligent search features and chatbots, the smarter the chips power them, the more accurate they become.
Though, there might be storm clouds on the horizon for artificial intelligence (AI). Despite the recent popularity of artificial intelligence programs like ChatGPT, further development might be hampered. This hinges on the decision of the U.S. Supreme Court’s two cases involving search algorithms. The result of which might not be fully realized until years into the future.
Neuromorphic Semiconductor Device Success and its Future
Chips are becoming more human at every turn. Dr. Yong-hun Kim and Dr. Jeong-Dae Kwon at the Surface & Nano Materials Division at the Korea Institute of Materials Science (KIMS) and their team have “successfully developed the world’s first neuromorphic semiconductor device with high-density and high-reliability by developing a thin film of lithium-ion battery materials.” The new technology was produced by combining ultra-thin lithium ions with two-dimensional nanomaterials. The results of this research were published in late 2022 within ACS Applied Materials & Interfaces.
What is a neuropathic semiconductor? To start, neuro is about the human body’s nervous system, including the brain, and its synaptic connections within its nerves. Neuropathic semiconductors have synapses and neurons that are like the human brain. With the ability to process and memorize information, the synaptic device receives signals from neurons, translates them by connection strength (synaptic weight), and stores the information. Each signal and the corresponding synaptic weight can enable pattern recognition.
This pattern recognition was used in further developing the neuropathic semiconductor. The device was implemented with an artificial neural network where its learning pattern uses the synaptic device to establish handwriting pattern recognition. Its artificial intelligence (AI) semiconductor was proven to have a handwriting recognition rate of 96.77%.
Dr. Kim and Dr. Kwon’s research team plans to conduct follow-up research on other low-power artificial intelligence devices, like their neuromorphic semiconductors and wearable edging devices. “Our next-generation neuromorphic semiconductor device does not require CPU and memory,” the research team said. “It can simultaneously process and store information and learns and recognizes images such as handwriting patterns. It is expected to be applied to various low-power artificial intelligence devices such as world-class neuromorphic hardware systems, haptic devices, and vision sensors.”
This development comes as GlobalFoundries (GF) aids in the creation of next-gen vision and computing technologies like neuropathic semiconductors. BrainChip, the world’s first company to develop ultra-low-power, event-based neuromorphic AI IP, utilized GF technology to advance its neuromorphic tech further. GF’s low-leakage FD SOI platform was used for BrainChip’s AKD1500 chip. This collaboration will empower further advances in neuromorphic technology over the coming years, paired with continual research by teams like KIMS.
By partnering with large original chip manufacturers (OCMs), mass production of these smart, human-brain-like devices will become more commonplace in technology. When it does, it's sure to exciting growth in areas such as AI and machine learning.
Eventually, everything clears up.)
calculating - both have something to do with the same industry and both have shares. So my AI tells me that I should compare them. Heck, I'm brilliant intelligent!
Now I'm waiting for a smart comparison of Tesla with Talga. I am curious!
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Tony Coles
Regular
"Hardware, zonal controller, data consolidation & intelligence power management"
View attachment 43879
View attachment 43881
Christophe Périllat on LinkedIn: It's a great pleasure to be at IAA Mobility 2023! This morning, during…
It's a great pleasure to be at IAA Mobility 2023! This morning, during our press conference at our booth, I took the opportunity to present our new Software…
Learning
It would have been easier to understand and much shorter sentences, just to wright, partnered with BrainChip. Yes I agree @ Learning, very clever words used not to reveal the technology, sneaky buggers.
SharesForBrekky
Regular
Interesting job happening here at Carnegie Mellon University:
"As a research scientist focusing on advanced computing, you will identify, shape, apply, conduct, and lead research that matches critical U.S. government needs."
"You'll experiment with emerging technologies such as augmented and virtual reality, computer vision, and deep learning, and explore the latest in advanced hardware, including FPGAs, CGRAs, TPUs, and emergent technologies such as neuromorphic and analog processors."
"You will work with Center leaders and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology."
"As a research scientist focusing on advanced computing, you will identify, shape, apply, conduct, and lead research that matches critical U.S. government needs."
"You'll experiment with emerging technologies such as augmented and virtual reality, computer vision, and deep learning, and explore the latest in advanced hardware, including FPGAs, CGRAs, TPUs, and emergent technologies such as neuromorphic and analog processors."
"You will work with Center leaders and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology."
Embracing standardisation - New Electronics
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