Well, we need @Diogenese , a free thinker who has suffered penury all these centuries whose tide is about to turn.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
suss
Regular
.420 on 420Damn it, I said no more, I accidentlygrabbed another 21,428 shares at the end of day Auction........
View attachment 34703
Noice. Good omen. Can only get higher from this.
Sean said in one of the recent April investor presentations that License fees were 7 digits or multiple of. Royalties after that.
Dang Son
Regular
"Innatera’s processors leverage the computing capabilities of spiking neural networks to deliver ground-breaking cognition performance within a narrow power envelope."
Does this claim from Innatera sound like its processors leverage Akida to perform the function of
UNLOCKING TRUE NEUROMORPHIC PATTERN RECOGNITION
?
Terroni2105
Founding Member
Randhir Thakur was the president of Intel Foundry Services in December when BrainChip joined the IFS ecosystem (he was with Intel for 5 1/2 years).
He is now appointed as CEO and managing director for Tata Electronics (A division of the massive Tata group).
https://www.businesstoday.in/latest...onductor-bet-can-he-deliver-377987-2023-04-19
He is now appointed as CEO and managing director for Tata Electronics (A division of the massive Tata group).
https://www.businesstoday.in/latest...onductor-bet-can-he-deliver-377987-2023-04-19
Okeydokey01
Regular
Hi @Sirod,
Thanks so much for offering to keep me company in the naughty corner. That's such a lovely thing to say! How about you bring the milk and I'll bring the cat food and scratchy pole?
Miraculously I haven't been ejector-seated out of here just yet. It isn't that I want to go, it's just that someone keeps reporting my posts, which I think is not very kosher and an abuse of the reporting system itself IMO. And I believe this may have also happened to @Fact Finder.
I can't help but feel very suspicious about the motivations of some of these posters who are doing nothing but complaining. I have never begrudged anyone for having an opinion, but there's a difference between expressing legitimate concerns as opposed to completely saturating the thread with negative sentiment, over and over, rehashing the same complaints for no material purpose. They are not actually seeking to have any of their concerns addressed, as others have pointed out there are avenues for them to go down if they wish to do so without chocking up the thread unnecessarily. I can't help but call out that kind of behaviour and they don't seem to like it, which speaks volumes I think.
View attachment 34678
"Miraculously I haven't been ejector-seated out of here just yet."
And nor should you be Bravo. Keep fighting the good fight, your contributions are welcomed and valued by those of us genuine holders who have been here since the start. I have been sitting back, reading and watching of late and agree that there definitely has been a suss element that has emerged. I am as confident as I have been for a long time as I watch BRN continue to drive forward. In my opinion Its only a matter of time until the opportunists who are currently trading in doubt and negativity move on to their next meal.
buena suerte :-)
BOB Bank of Brainchip
Randhir Thakur was the president of Intel Foundry Services in December when BrainChip joined the IFS ecosystem (he was with Intel for 5 1/2 years).
He is now appointed as CEO and managing director for Tata Electronics (A division of the massive Tata group).
https://www.businesstoday.in/latest...onductor-bet-can-he-deliver-377987-2023-04-19
jtardif999
Regular
Not sure if this has already been posted..
Mercedes-Benz Wants to Become a Software Company, the CEO Says
At a recent briefing in Northern California’s Silicon Valley, the marque’s top executives discuss what’s soon to roll out on the tech front.
By LAURA BURSTEIN
Your next G-Wagen might let you stream movies, play Angry Birds, and hop on a Zoom call—all from an immense set of displays that span the entire dash. As vehicles become more connected, Mercedes-Benz is pushing beyond sheet metal and luxurious materials to build a product portfolio loaded with advanced technology.
“We make things in the physical world, but also increasingly in the digital world,” stated Mercedes-Benz CEO Ola Källenius as he addressed invited guests and investors at a recent event at the marque’s Silicon Valleysatellite office in Sunnyvale, Calif. “We are on a journey to also become a software company. We will put supercomputer-like performance into every single Mercedes.”
Ola Källenius, global CEO of Mercedes-Benz, with a tech-laden test car.Mercedes-Benz AG
The automaker is working with partners to develop a myriad of products and services, including expanded infotainment options, more sophisticated safety features, and really big screens. Significantly, they will all run on Mercedes-Benz’s own MB.OSplatform, expected to debut at the end of 2024 for sale in vehicles the following year.
“We are the architects of our own operating system, a chip-to-cloud architecture that enables the decoupling of software and hardware,” Källenius explains. Because automotive-development cycles span years, compared with months or even weeks for software programs, the result is that in-car technology runs the risk of becoming obsolete long before the lifespan of the car has ended. With MB.OS and over-the-air updates, “the product doesn’t get old, and it actually gets better over time,” says Källenius.
Mercedes-Benz’s Silicon Valley complex in Sunnyvale, Calif.Mercedes-Benz AG
The new operating system is proprietary to Mercedes, but employs technologies from partners, including NVIDIA and Google Maps. “If you’re building a house, you don’t have to lay every tile or every beam by yourself,” says Källenius. “That’s why we leverage the technology partnerships we have, but in the end, it comes together where we control the IP and we control the digital marketplace in our vehicle.” That marketplace is a potential “pot of gold” for Mercedes-Benz, according to Källenius, who disclosed that the company generated 1 billion euros in software-enabled revenue in 2022 and expects that number to be in the “high single-digit-billion euros” by the end of the decade.
The 2024 E-Class sedan will be available with a precursor to MB.OS, along with the third-generation of the marque’s MBUX user interface.Mercedes-Benz AG
However, while some manufacturers are striving to make their interfaces more of an extension of users’ phones, Mercedes-Benz is deliberately departing from this, creating a distinct interface that it hopes users will prefer. “There’s an ultimate goal not to mirror your phone, to make a great customer experience so there’s no need to plug in your device,” says Markus Schäfer, Mercedes-Benz’s chief technology officer.
Company executives envision the car as an entertainment center, with gaming, social media, video conferencing, music, and other third-party apps. Schäfer touted partnerships with Universal Music as well as myNFT, the latter of which will allow customers to create and display their own private art galleries inside their vehicles.
Mercedes-Benz is working with partners to develop a myriad of products and services, including expanded infotainment options and more sophisticated safety features.Mercedes-Benz AG
The canvas for this innovative content will be giant, pillar-to-pillar screens, including a separate display for the passenger, with privacy technology that will block potentially distracting games or videos from the driver’s view. Mercedes EQ electric vehicles are already fitted with the gargantuan Hyperscreen, but the tech will soon trickle down to the brand’s gasoline-powered cars as well. First up will be the 2024 E-Class sedan, which will be available with a precursor to MB.OS, along with the third-generation of Mercedes-Benz’s MBUX user interface.
Markus Schäfer, chief technology officer for Mercedes-Benz.Sven Hoppe/picture alliance via Getty Images
The instrument panel in the new E-Class looks similar to the Hyperscreen but uses a separate, floating driver’s display and forgoes the more expensive, three-dimensionally curved glass. But there’s still plenty of real estate. “It’s important to get bigger and bigger with screen sizes,” says Gorden Wagener, Mercedes-Benz’s chief design officer, during a private viewing of the E-Class interior. “Small displays make an interior look old. So the bigger the better.” The redesigned E-Class cabin also features a plethora of ambient lighting and, perhaps to the chagrin of many, eschews all analog switches and rotary knobs in favor of digital controls, including the volume adjustment.
Gorden Wagener, Mercedes-Benz’s chief design officer, gives us a private viewing of the new E-Class interior.Laura Burstein
The new E-Class, which will also debut an exterior design yet to be revealed, is slated to arrive in dealerships at the end of this year. If history is any indication, the interior layout could become the template for future internal-combustion-engine models (at least while they last, as the company has said it will go all-electric by 2030, save for perhaps a few small markets). And while Mercedes-Benz didn’t announce an exact timeline or specifics as to which vehicles will get which technology, Källenius confirmed that the forthcoming MB.OS and its related features would eventually appear on “every Mercedes.”
Fullmoonfever
Top 20
Just having a surf and found these guys out of Texas.
Supply chain set up with a pretty decent list of supplier / manufacturers.
We not there obviously (not a manufacturer per se) but ARM and Renesas are plus the usual majors.
Was a recent blog I was just reading and are pretty bullish on neuromorphic at least so...see if something with Akida pops up sometime in the future.
Leveraging the incredible power and agility of the human brain, neuromorphic computing allows us to construct computers that run just as efficiently as we do – without needing a huge space for software installation.
Drawing inspiration from the intricacies of human brains and nervous systems, Neuromorphic Computing was an idea proposed in the 1980s. Nowadays though, this concept has been thrust into focus due to Artificial Intelligence’s continued progress. Scientists have used AI to dramatically improve Neuromorphic Computing’s effectiveness within cutting-edge technology fields.
The recent scientific breakthrough of the Artificial Neural Network model (ANN) has sparked a newfound interest in neuromorphic computing, revolutionizing how technology works.
Neuromorphic computing is revolutionizing the way computers work, allowing them to think and act like a human brain. By leveraging sophisticated algorithms and data, neuromorphic computing can process information quickly while consuming minimal energy.
By enabling machines to act and think like humans, artificial neurons pass signals between each other. The electric pulses or spikes translate the input into an output that eventually leads to the implementation of neuromorphic computers. With this technology, we can now access a whole new realm of possibilities in computing power!
The transmission of electrical surges or signals works based on Spiking Neural Networks (SNN). This particular SNN structure allows a machine to imitate human brain activity and conduct activities that humans carry out regularly.
Neuromorphic computing machines are remarkably power-efficient because their artificial neurons only consume electricity when electric pulses pass through them. This allows for tasks such as visual recognition and data interpretation to be carried out with minimal energy consumption. Compared to traditional computers, neuromorphic computing offers a much more sustainable way of performing complex operations.
Neuromorphic computing devices imitate natural neural networks to replicate the cognitive ability of a human brain, enabling them to accomplish tasks with remarkable speed and accuracy.
Neuromorphic computers are renowned for their lightning-fast processing speeds, as they function similarly to a human brain. This makes them far more responsive than traditional computing machines and is one of the main features that sets them apart from other types of hardware.
Low Power Consumption
Driving progress in neuromorphic computing, Spiking Neural Networks (SNN) take advantage of electric pulses or signals that pass through artificial neurons. This process requires little energy yet allows these simulated neurons to function optimally as the spikes set off a chain reaction among them.
Unparalleled Flexibility
Modern computers are renowned for their adaptive capabilities, and the same is true of neuromorphic ones. With superior adaptability, they can adjust to evolving technology demands quite easily. These machines continuously amend themselves to keep up with changing times and deliver efficient performance in the long term.
Quick Learning Ability
Neuromorphic computing is a revolutionary technology that enables machines to learn at an accelerated rate. By interpreting data and creating algorithms as new information is fed into the computer, neuromorphic computing creates powerful models for quickly processing data. This speed of learning allows machines to stay ahead of the curve in this ever-evolving digital age.
Portable Architecture
One of the most impressive aspects of neuromorphic computing is its portability. Unlike traditional computers that would consume such a large amount of space, these compact and handy devices require minimal room to operate while offering unmatched efficiency when it comes down to occupying space.
Neuromorphic computing chips have revolutionized the way computers work, offering not only rapid expansion but also revolutionary new capabilities. From analyzing data to executing machine learning algorithms, these specialized computer chips can do almost anything today!
Through the use of AI’s remarkable machine learning approach, neuromorphic computing has revolutionized data processing and enabled computers to run with greater size and power.
The current wave of AI technology is plagued with issues such as expensive processing hardware and limited storage capacity, but this could all be a thing of the past when neuromorphic computing in AI becomes mainstream. This third wave of AI would not only alleviate these challenges but also make it possible for computers to perform similar tasks humans can do.
According to a report from US-based Research and Markets, the neuromorphic computing market is projected to skyrocket in the next decade – reaching over $1.78 billion by 2025! This remarkable growth can be attributed to the ever-increasing demand for Artificial Intelligence (AI) capabilities, which require extensive computational power. Neuromorphic Computing will thus play an essential role in powering the AI of tomorrow.
Neuromorphic computing has forever changed data processing and enabled computers to run with greater size and power. Its advantages are set to revolutionize Artificial Intelligence over the next few years; from data analysis to machine learning, the possibilities are endless. Neuromorphic Computing is a major field in the arena of artificial intelligence, and will be a powerful force in AI’s future!
Supply chain set up with a pretty decent list of supplier / manufacturers.
We not there obviously (not a manufacturer per se) but ARM and Renesas are plus the usual majors.
Was a recent blog I was just reading and are pretty bullish on neuromorphic at least so...see if something with Akida pops up sometime in the future.
What is Neuromorphic Computing? How Does It Work? Explained.
What is Neuromorphic Computing? Is this the 3rd wave of AI, how it works, and how it is more powerful than AI? Read Everything Here...
www.vyrian.com
WHAT IS NEUROMORPHIC COMPUTING? HOW DOES IT WORK? EXPLAINED.
- 05 April 2023
What is Neuromorphic Computing?
Neuromorphic computing is a type of artificial intelligence (AI) that mimics the way the brain works. It uses specialized hardware, such as AI chips and software algorithms, to simulate neurons and synapses to process data more efficiently than traditional computers.Leveraging the incredible power and agility of the human brain, neuromorphic computing allows us to construct computers that run just as efficiently as we do – without needing a huge space for software installation.
Drawing inspiration from the intricacies of human brains and nervous systems, Neuromorphic Computing was an idea proposed in the 1980s. Nowadays though, this concept has been thrust into focus due to Artificial Intelligence’s continued progress. Scientists have used AI to dramatically improve Neuromorphic Computing’s effectiveness within cutting-edge technology fields.
The recent scientific breakthrough of the Artificial Neural Network model (ANN) has sparked a newfound interest in neuromorphic computing, revolutionizing how technology works.
Neuromorphic computing is revolutionizing the way computers work, allowing them to think and act like a human brain. By leveraging sophisticated algorithms and data, neuromorphic computing can process information quickly while consuming minimal energy.
How does Neuromorphic Computing work?
Neuromorphic computing is made possible through Artificial Neural Networks (ANNs), which are composed of millions of synthetic neurons that imitate the complexities and connections within our brains.By enabling machines to act and think like humans, artificial neurons pass signals between each other. The electric pulses or spikes translate the input into an output that eventually leads to the implementation of neuromorphic computers. With this technology, we can now access a whole new realm of possibilities in computing power!
The transmission of electrical surges or signals works based on Spiking Neural Networks (SNN). This particular SNN structure allows a machine to imitate human brain activity and conduct activities that humans carry out regularly.
Neuromorphic computing machines are remarkably power-efficient because their artificial neurons only consume electricity when electric pulses pass through them. This allows for tasks such as visual recognition and data interpretation to be carried out with minimal energy consumption. Compared to traditional computers, neuromorphic computing offers a much more sustainable way of performing complex operations.
Neuromorphic computing devices imitate natural neural networks to replicate the cognitive ability of a human brain, enabling them to accomplish tasks with remarkable speed and accuracy.
Benefits of Neuromorphic Computing
Quick and ResponsiveNeuromorphic computers are renowned for their lightning-fast processing speeds, as they function similarly to a human brain. This makes them far more responsive than traditional computing machines and is one of the main features that sets them apart from other types of hardware.
Low Power Consumption
Driving progress in neuromorphic computing, Spiking Neural Networks (SNN) take advantage of electric pulses or signals that pass through artificial neurons. This process requires little energy yet allows these simulated neurons to function optimally as the spikes set off a chain reaction among them.
Unparalleled Flexibility
Modern computers are renowned for their adaptive capabilities, and the same is true of neuromorphic ones. With superior adaptability, they can adjust to evolving technology demands quite easily. These machines continuously amend themselves to keep up with changing times and deliver efficient performance in the long term.
Quick Learning Ability
Neuromorphic computing is a revolutionary technology that enables machines to learn at an accelerated rate. By interpreting data and creating algorithms as new information is fed into the computer, neuromorphic computing creates powerful models for quickly processing data. This speed of learning allows machines to stay ahead of the curve in this ever-evolving digital age.
Portable Architecture
One of the most impressive aspects of neuromorphic computing is its portability. Unlike traditional computers that would consume such a large amount of space, these compact and handy devices require minimal room to operate while offering unmatched efficiency when it comes down to occupying space.
What is the Significance of Neuromorphic Computing?
Neuromorphic AI computing is a major field in the arena of artificial intelligence, and it has been instrumental in revolutionizing computer engineering. Through its sophisticated technology, neuromorphic computing enables computers to operate like the human brain; thereby paving the way for advances in technology and rapid progress.Neuromorphic computing chips have revolutionized the way computers work, offering not only rapid expansion but also revolutionary new capabilities. From analyzing data to executing machine learning algorithms, these specialized computer chips can do almost anything today!
Artificial Intelligence and Neuromorphic Computing
By providing computers with human-like capabilities, Artificial Intelligence seeks to replicate the functionality of the human brain. Neuromorphic computing is a revolutionary concept that has been able to achieve this goal; using millions of artificial neurons that pass electric signals, it empowers machines to operate in ways that closely mimic our minds. This technology stands as one of AI’s most incredible accomplishments yet!Through the use of AI’s remarkable machine learning approach, neuromorphic computing has revolutionized data processing and enabled computers to run with greater size and power.
Future of Neuromorphic Computing
Neuromorphic Computing will be the future of Artificial Intelligence. This third wave or era of AI offers remarkable advancements that will propel the field further and shape its scope in years to come.The current wave of AI technology is plagued with issues such as expensive processing hardware and limited storage capacity, but this could all be a thing of the past when neuromorphic computing in AI becomes mainstream. This third wave of AI would not only alleviate these challenges but also make it possible for computers to perform similar tasks humans can do.
According to a report from US-based Research and Markets, the neuromorphic computing market is projected to skyrocket in the next decade – reaching over $1.78 billion by 2025! This remarkable growth can be attributed to the ever-increasing demand for Artificial Intelligence (AI) capabilities, which require extensive computational power. Neuromorphic Computing will thus play an essential role in powering the AI of tomorrow.
Conclusion
Finally, neuromorphic computing will unlock AI’s hidden potential and pave the way for a revolutionary new era over the next few years. Neuromorphic computing aims to create computers that behave like the human brain and act similarly to our nervous system. This kind of engineering involves millions of man-made silicon neurons connected in such a way that they can pass electrical spikes from one neuron to another.Neuromorphic computing has forever changed data processing and enabled computers to run with greater size and power. Its advantages are set to revolutionize Artificial Intelligence over the next few years; from data analysis to machine learning, the possibilities are endless. Neuromorphic Computing is a major field in the arena of artificial intelligence, and will be a powerful force in AI’s future!
Fullmoonfever
Top 20
Nice to be top of tree in this figure from a recent 2023 preprint paper
Emerging AI Technologies Inspiring the
Next Generation of E-textiles
[Fig 7] highlights advancements, with Brainchip (https://brainchip.com/) announcement in 2022 claiming to be the worlds first commercial producer of a Neuromorphic AI processor ‘Akida’ that has the capability to mimic the working of the human brain and process data with high precision and energy efficiency. Akida being an event-based AI neural processor featuring 1.2 million neurons and 10 billion synapse.
Emerging AI Technologies Inspiring the
Next Generation of E-textiles
Emerging AI Technologies Inspiring the Next Generation of E-textiles - Dimensions
The smart textile and wearables sector is looking towards advancing technologies to meet both industry, consumer and new emerging innovative textile application demands, within a fast paced textile industry. In parallel inspiration based on the biological neural workings of the human brain is...
app.dimensions.ai
[Fig 7] highlights advancements, with Brainchip (https://brainchip.com/) announcement in 2022 claiming to be the worlds first commercial producer of a Neuromorphic AI processor ‘Akida’ that has the capability to mimic the working of the human brain and process data with high precision and energy efficiency. Akida being an event-based AI neural processor featuring 1.2 million neurons and 10 billion synapse.
Fullmoonfever
Top 20
Nice AKD1500 tie in mention at the end
This site does regular market updates for the electronic component market.
A team at the Korea Institute of Materials Science said the below....where have I heard something like that before
“Our next-generation neuromorphic semiconductor device does not require CPU and memory,”
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. However, there might be a fork in the road up ahead for U.S. AI applications.
This site does regular market updates for the electronic component market.
A team at the Korea Institute of Materials Science said the below....where have I heard something like that before
“Our next-generation neuromorphic semiconductor device does not require CPU and memory,”
Semiconductor Industry News - February 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. However, there might be a fork in the road up ahead for U.S. AI applications.
D
Deleted member 118
Guest
This may be my last post before being consigned to the naughty corner for a wee bit because I got about 5 dreadbotts in a row. Hopefully it’ll only be a temporary ban.
Anyways, it’s a great ecosystem we’re building, a bit like a “funky town“ of collaborative partners like Arm, Si-Five, MegaChips,etc.
No doubt this post will be reported too, for being off topic or profane or something. Never mind, it’s a groovy song!
To All
It’s a weird ban as I just had 2 days off being unable to connect and when I eventually managed it directed me to this every time.
Ps thanks for reporting my gifs whoever it was. I guess I’ll be getting many more redirects to Mr Rick or an eventual permanent ban
So has anyone else managed a ban yet?
Sirod69
bavarian girl ;-)
AI at the Edge: Going Cloudless with Arm and BrainChip
BrainChip
47 Min. •
Don't miss this ARM and BrainChip webinar on May 9th at 8:00 am Pacific - AI at the Edge: Going Cloudless with Arm and BrainChip - Register here: https://lnkd.in/dZ75Mhuc
Video Conferencing, Web Conferencing, Webinars, Screen Sharing
Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solution used around the world in board...
Boab
I wish I could paint like Vincent
From the ARM website. Nice one @Sirod69AI at the Edge: Going Cloudless with Arm and BrainChip
BrainChip
47 Min. •
Don't miss this ARM and BrainChip webinar on May 9th at 8:00 am Pacific - AI at the Edge: Going Cloudless with Arm and BrainChip - Register here: https://lnkd.in/dZ75Mhuc
View attachment 34715
Video Conferencing, Web Conferencing, Webinars, Screen Sharing
Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solution used around the world in board...armltd.zoom.us
Deena
Regular
Fear knocked on the door. Faith answered ... no-one was there.
Schnitzel lover
Regular
I somehow think that if this was a private company seed investors and shareholders would be sitting very comfortably and brimming with confidence and anticipation.
I think when the share price comes into play as a public company, that’s where the polarity of emotion emerges.
That is about the sum of its parts.. Eg. If the share price were $3now and money and finance were still easy like in 2021, would people complain? Id be surprised if they did, as all the progress points made would be only viewed positively IMO.
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