Baron Von Ricta
Regular
Well at least the uninformed market seems to like it, Up 10% already.
BRN Discussion Ongoing
- Thread starter TechGirl
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Frank Zappa
Regular
The most important thing is —- Are the wives going to be happy with it ???
Learning
Learning to the Top 🕵♂️
ANNOUNCEMENT
BrainChip Introduces Second-Generation Akida Platform
• Drives extremely efficient and intelligent edge devices for Artificial Intelligence of Things (AIoT) solutions
• New generation of Akida allows designers and developers to incorporate features that were not possible before
• Adds capabilities that are critically needed in industrial, automotive, digital health, smart home and smart city applications
Sydney – 06 March 2023: BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, neuromorphic AI IP, today announced the launch of the second generation of its Akida™
platform that drives extremely efficient and intelligent edge devices for the Artificial Intelligence of Things (AIoT) solutions and services market that is forecast to be worth US$1T+ by 2030 according to an industry report published by Fortune Business Insights. Sean Hehir, BrainChip CEO said, “Our customers wanted us to enable expanded predictive intelligence, target tracking, object detection, scene segmentation, and advanced vision capabilities.
This new generation of Akida allows designers and developers to do things that were not possible before on an Edge device. By inferring and learning from raw sensor data, we take a substantial step toward a cloudless Edge AI experience. With this launch, we have significantly extended our competitive advantage in neuromorphic AI.” This hyper-efficient, yet powerful neural processing system, architected for embedded Edge AI applications, now adds efficient 8-bit processing to go with advanced capabilities such as time domain convolutions and vision transformer acceleration, for an unprecedented level of performance in sub-watt devices, taking them from perception towards cognition. The second-generation of Akida now includes Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions that supercharge the processing of raw time-continuous streaming data, such as video analytics, target tracking, audio classification, analysis of health monitoring data such as heart rate and respiratory rate for vital signs prediction, Page | 2 and time series analytics used in forecasting, and predictive production line maintenance.
These capabilities are critically needed in industrial, automotive, digital health, smart home and smart city applications. The TENNs allow for radically simpler implementations by consuming raw data directly from sensors - drastically reducing model size and operations performed, while maintaining very high accuracy. This can shrink design cycles and dramatically lower the cost of development. Mr Hehir added, “The development of the second generation of Akida was strongly influenced by our customers’ feedback and driven by our extensive market engagement. We have recently expanded our sales organisation to become truly global and we are focused on executing more IP licence agreements and generating revenue growth over coming years. Another addition to the second generation of Akida is Vision Transformers (ViT) acceleration, a leading-edge neural network that has been shown to perform extremely well on various computer vision tasks, such as image classification, object detection, and semantic segmentation.
The Akida IP platform has a unique ability to learn on the device for continuous improvement and data-less customization that improves security and privacy. This, combined with the efficiency and performance available, enable very differentiated solutions that until now have not been possible. These include secure, small battery powered devices like hearing aids and wearable electronic devices such as watches, medical devices for monitoring vital signs, and consume only microwatts of power. This can scale up to HD-resolution vision solutions delivered through high-value, batteryoperated or fan-less devices enabling a wide variety of applications from surveillance systems to factory management and augmented reality to scale effectively. Akida’s software and tooling further simplifies the development and deployment of solutions and services with these features: • An efficient runtime engine that autonomously manages model accelerations completely transparent to the developer • MetaTF™ software that developers can use with their preferred framework, like TensorFlow/Keras, or development platform, like Edge Impulse, to easily develop, tune, and deploy AI solutions. • Supports all types of Convolutional Neural Networks (CNN), Deep Learning Networks (DNN), Vision Transformer Networks (ViT) as well as Spiking Neural Networks (SNNs), future-proofing designs as the models get more advanced. Akida comes with a Models Zoo and a burgeoning ecosystem of software, tools, and model vendors, as well as IP, SoC, foundry and system integrator partners. Page | 3 General availability will follow in Q3’ 2023.
A formal platform launch press release will take place on 7 March at 1:00am AEDT, 6 March at 6:00am US PST. This announcement is authorised for release by the BRN Board of Directors About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, AkidaTM, uses neuromorphic principles to mimic the human brain, analysing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security.
Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like TensorFlow/Keras. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that onchip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com. Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc Follow BrainChip on LinkedIn: https://www.linkedin.com/company/779200
Go BRN.
It's great to be a shareholder 🏖
MDhere
Regular
Megachips i think i remember reading sold of a fair portion oh shares in this company recently not sure why and i can't remeber atm which article i saw it in, will see if i can find it.Another company to keep an eye on is SiTime which is owned by MegaChips.
SiTime | The Precision Timing Company | MEMS Timing, Oscillator, TCXO, OCXO, Silicon Oscillators, MEMS Resonator, Clock Timing
SiTime is a leader in MEMS timing solutions, having shipped billions of units. Learn about our silicon MEMS oscillators, TCXOs, OCXOs, MEMS resonators, clock generators, jitter cleaners, clock timing, timing clock, sitm stock, and much more.www.sitime.com
SiTime Transforms Precision Timing Market for Edge Networks
DATA CENTER AND CO-LOCATIONNEWS
By AIT News Desk On Mar 17, 2022
SiTime Corporation , a market leader in precision timing, introduced the Elite X Super-TCXO for edge networks such as data centers, 5G front haul, connected cars and industrial IoT. In these applications, Elite X solves critical timing problems and enables delivery of new services.
“Our Elite X Super-TCXO shines by delivering 2x better stability and 30x higher reliability than quartz. Consequently, we believe that Elite X will now be the precision timing device of choice in edge equipment,” said Piyush Sevalia, SiTime.
“Twenty-two million autonomous vehicles on the road by 2025, the rapid adoption of 5G, and the continued growth of data centers will require a large buildout in outdoor, decentralized edge networks,” said Piyush Sevalia, executive vice president of marketing at SiTime. “These new edge devices and their precision timing heartbeat must perform reliably in the presence of extreme temperatures, thermal shock, and vibration. Here, our Elite X Super-TCXO shines by delivering 2x better stability and 30x higher reliability than quartz. Consequently, we believe that Elite X will now be the precision timing device of choice in edge equipment.”
To enable new time-sensitive services such as ADAS, virtual reality, and smart manufacturing, edge devices will need to deliver faster speeds with lower latency. Precision timing plays a crucial role in their success. Legacy timing devices such as quartz TCXOs and mini-OCXOs have well-known weaknesses such as sensitivity to thermal shock and vibration, stability degradation at high temperatures, and shorter operating life. By using silicon MEMS technology that is inherently more robust and reliable, Elite X overcomes these problems and enables the next generation of time-sensitive services everywhere.
In edge networks, additional specifications such as aging, warm-up time, and power consumption are important for overall performance. Even here, SiTime Elite X outperforms legacy timing devices, simplifies system design, and offers dependable, consistent performance.
With Elite X (±10-20 ppb stability), Emerald (±5 ppb), and Elite (±50-500 ppb), SiTime offers a broad portfolio of best-in-class TCXOs and OCXOs that meet various application requirements in communications, networking, automotive, and industrial IoT.
SiT5501 Elite X Super-TCXO Features and Benefits
The SiT5501 Elite X Super-TCXO includes the following features and benefits:
- ±10 ppb frequency stability
- -40°C to +105°C operating temperature. More applications require 105°C operation.
- 110 mW typical power consumption
- Small package, 7.0 mm x 5.0 mm
- ±0.5 ppb/°C dF/dT (frequency slope), resistant to thermal shock and airflow
- ±0.5 ppb daily aging
- Any frequency from 1 to 60 MHz with up to 6 decimal places of accuracy
SiTime Transforms Precision Timing Market for Edge Networks
SiTime Corporation , a market leader in precision timing, today introduced the Elite X Super-TCXO for edge networks such as data centers,aithority.com
Blog
JAN092018
- Company
- News
- SiTime Blog
- Timing's Critical Role in the AI Revolution
Timing's Critical Role in the AI Revolution
Posted By: Mark Bajus
Small timing devices run a big part of our lives, and many times, we fail to realize it. I sat down with Aaron Partridge, the chief scientist at SiTime, to discuss his prognostications for the future of the electronics industry and the role that timing will play.
As you look ahead, what trends in electronics do you see?
One giant trend that I see is the development of AI systems. Artificial intelligence will usher in the next wave of the industrial revolution. The first wave used steam power to mechanize production and travel in the 1780s and extended this with fossil fuel in the 1920s. The second used electronics and software to automate communications in the 1980s. Today, we need to process the data from our increasingly digitized world. AI organizes this data to augment our mental limits.
One can think of technology as extending our human limits. The first wave amplified our muscles, in that we can fly, drive, and move heavy objects. The second wave amplified our senses, in that we could hear people thousands of miles away or see minute objects. And the third wave is now amplifying our ability to think.
You use the present tense to talk about the next wave of the industrial revolution. Why is that?
That’s the thing with technological revolutions. When we are in the midst of them, many of us don’t notice that change is happening. The technology slowly creeps into our lives. We won’t wake up one day and suddenly live in the world of the Jetsons. Right now, the personal assistants in our mobile devices, the self-driving car I just bought, they both use artificial intelligence.
What is timing’s role in AI?
Timing will play a critical role in the communications infrastructure that AI leverages. When many people think about artificial intelligence, they think of robots, but it is about more than that. It’s also about processing massive amounts of data. So, AI relies on data centers to store information and on high-speed radio and fiber to transport the information – all of which relies on timing. Without high-performance oscillators, artificial intelligence systems wouldn’t be able to process the data reliably and without latency.
How do you see AI fitting into the evolution of timing?
That’s a pretty big question. What did timing mean to the Romans? The Romans could precisely measure sunrise, midday, and sunset. Their sundials divided the day into 12 hours of daylight and 12 hours of nighttime, and the length of the hours depended on the length of the day. So, if Romans agreed to meet at 1:00, they were probably accurate to maybe 20 minutes.
Skip ahead a couple millennia to today. Our phones know what time it is to a microsecond. Our GPS receivers know the accurate time to within thirty billionths of a second. So, we’ve gone from 1,000 seconds to a millionth-of-a-second accuracy. That is a billion time more accurate.
And we are not done. The upcoming 5G phones will hold time at least 10x more accurately than 4G, and soon GPS receivers will keep track of time down to one billionth of a second. So, that is a trillion times more accurate than the Romans.
In addition to accuracy, what else will be needed for AI systems?
People are now talking about “the internet of things.” All of those “things” will be networked, and networking requires timing. So, in that sense, we are dealing with the “internet of time-synchronized things.”
In a world of artificial intelligence and time-synchronized things, there will be a massive number of sensors everywhere, and they will need to be smaller, consume less power, and continue to perform reliably as they age. MEMS-based timing solutions, like the ones from SiTime, fit perfectly into that world.
Timing's Critical Role in the AI Revolution | SiTime
AI systems would not be possible without timing. Aaron Partridge, the chief scientist at SiTime, explains the role that timing will play.www.sitime.com
When reading it i thought to myself was about same timing that's Brainchip can now also has FDSIO.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Qualcomm should like the "8-bit" thingy.
www.qualcomm.com
The future of model efficiency for edge AI
toasty
Regular
Things that make you go "hmmmmmmmmmmm"........Qualcomm should like the "8-bit" thingy.
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The future of model efficiency for edge AI
MDhere
Regular
i missed my two small parcels just sitting at Fridays close. damn it lol
Evermont
Stealth Mode
Was very dissapointed to see this released via an ASX announcement and not via Press Release.
You can imagine my relief when I read that a formal platform press release is to follow.
Remember BrainChip also has a predisposition of quick fire announcements.
Happy Monday.
You can imagine my relief when I read that a formal platform press release is to follow.
Remember BrainChip also has a predisposition of quick fire announcements.
Happy Monday.
Frank Zappa
Regular
Good on you bravo . I looked up the definition for an eight bit thingy and all I got back was A French Tickler.Qualcomm should like the "8-bit" thingy.
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The future of model efficiency for edge AI
Tuliptrader
Regular
Learning
Learning to the Top 🕵♂️
Hi FJ,
As we don't have the full details or patent specification, the following is just speculation.
We haven't seen anything to suggest AKD1500 can handle 8 bits. On the other hand, do we have the resources to run two developments in parallel? The release date of Q3 2023 does tie in with AKD1500.
The 8 bits will increase accuracy at the expense of time and power, so the applications will be in fields where accuracy is paramount.
The time penalty will not be such as to take it outside the concept of "real time", but will probably reduce the FPS equivalent rating. I'm not sure how this would affect our compatibility with Prophesee, but I assume we will still have the 1, 2, and 4 bit options.
I suppose the 8 bits will also apply to the model libraries.
This emphasizes the importance of N-of-M coding to provide performance advantages over the competition.
Edit: As @Boab points out, "scene segmentation" is new. This may dovetail with Luminar's "foveated LiDaR".
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buena suerte :-)
BOB Bank of Brainchip
Does "scene segmentation" tie in with Luminar's "foveated LiDaR"?
TechGirl
Founding Member
OMG this is the best announcement ever, Well done BrainChip team.
"This can shrink design cycles & dramatically lower the cost of development."
I think this will be a very important factor in any customers decision on who to go with.
Let me think, should I go with high cost, long development period or should I go with low-cost fast development.....hmmm I am not sure who would you choose..........Gooooooo BrainChip
BRAINCHIP SHAREHOLDERS
"This can shrink design cycles & dramatically lower the cost of development."
I think this will be a very important factor in any customers decision on who to go with.
Let me think, should I go with high cost, long development period or should I go with low-cost fast development.....hmmm I am not sure who would you choose..........Gooooooo BrainChip
BRAINCHIP SHAREHOLDERS
D
Deleted member 118
Guest
buena suerte :-)
BOB Bank of Brainchip
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buena suerte :-)
BOB Bank of Brainchip
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