BRN Discussion Ongoing
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supersonic001
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Happy Birthday @Fact Finder I really appreciate all the manhours you have put into this forum and Hot Crapper. I truely don’t think I would have stayed strong trough all the ups and downs if it weren’t for your insight. Not to take away from all the other fantastic posters here, but it is your birthday
God bless you and have an amazing time with your family!
HB FF
Couldn’t agree more with TFM sentiment here, have a cracka !!
SSC1
... and at the other end of the scale:
https://www.tachyum.com/media/press-releases/
The wait is finally over and the US-startup Tachyum has now launched its Prodigy universal processor which combines the functionality of a CPU, GPU and TPU in a single processor.
In order to develop its revolutionary new processor, the company first set out to conquer the processor performance plateau in nanometer-class chips and the systems they power.
In addition to being Tachyum’s first commercial product, the Prodigy Cloud/AI/HPC supercomputer processor chip offers four times the performance of the fastest Intel Xeon processor. However, it also has three times more raw performance than the Nvidia H100 on HPC as well as six times more raw performance on AI training and inference workloads.
With its new processor, Tachyum believes it is poised to overcome the challenges of increasing data center power consumption, low server utilization and stalled performance scaling.
We did look at Tachyum a year ago in another place. Nothing that a little Akida couldn't fix.
https://www.tachyum.com/media/press-releases/
Tachyum unveils a monster processor that does everything
Anthony Spadafora - 4h agoThe wait is finally over and the US-startup Tachyum has now launched its Prodigy universal processor which combines the functionality of a CPU, GPU and TPU in a single processor.
In order to develop its revolutionary new processor, the company first set out to conquer the processor performance plateau in nanometer-class chips and the systems they power.
In addition to being Tachyum’s first commercial product, the Prodigy Cloud/AI/HPC supercomputer processor chip offers four times the performance of the fastest Intel Xeon processor. However, it also has three times more raw performance than the Nvidia H100 on HPC as well as six times more raw performance on AI training and inference workloads.
With its new processor, Tachyum believes it is poised to overcome the challenges of increasing data center power consumption, low server utilization and stalled performance scaling.
We did look at Tachyum a year ago in another place. Nothing that a little Akida couldn't fix.
alwaysgreen
Top 20
thelittleshort
Top Bloke
buena suerte :-)
BOB Bank of Brainchip
It also reminds me of the sensor test with Tony Dawe when our' little' AKIDA fitted to a USB stick could correctly identify different finished wines ....Shiraz & Chardonnay !!......... I will be doing my own wine
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INTELLIGENT SENSORS FOR SMART VITICULTURE
NEW! Thanks to "LoRa" technology, our sensors have a range of up to 6 kilometers* and can monitor areas of up to 10,000 hectares*. As a result, this technology is also the perfect solution for wine cooperatives.
VineSense : The perfect solution for viticulture 4.0
Sensors installed in the rows of vines measure the micro-climatic parameters of the vines.
This data is transmitted wirelessly. The information is automatically forwarded to the Netsens data center in Florence every 5 minutes.
The authenticated user can then access this data from any Internet-enabled device, worldwide.
VineSense is a decision support system and provides reliable information on:
• Development of pathogens: downy mildew, oidium, botrytis, grape moth .
• Late frost alert , in real-time via email and SMS
• Infection risk assessment compared to current phenological stage
• Real-time mapping of microclimatic conditions
Looking at the phenological phases observed in the field, the software models automatically adapt to the specific conditions of your vineyards.
The agronomic models provide you with useful information about the stage of development and the risk of the most important pathogens. Here, innovative technology and (biodynamic) viticulture 4.0 go hand in hand.
* dependent on geographic location
Grapes have been mentioned by Brainchip. I have research papers where SNN's can be used to detect VOC's from mould, mildew and yeasts on plants/grape vines. If you have a vineyard with multiple sensors running 24 hours a day doing what is spoken off above at the cost of electricity you would not want them running at full power every second of every minute of every day and you would not want them sending masses of data continuously to the cloud. If you have just listened to Kristopher Carlson's presentation it is fresh in you mind how AKIDA powered sensors can overcome these issues and take cost away as a barrier to adoption.
My opinion only DYOR
FF
AKIDA BALLISTA
testing a little later....
here's to a great weekend Chippers CHEERS
Last edited:
JK200SX
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Hi FF, do you have a link please?
D
Deleted member 118
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Fact Finder
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All • Exclusives
Neuromorphic AI at the Edge with BrainChip
May 12, 2022Add Comment
by Sulagna Saha
Neuromorphic computing may still be at an emerging stage, but there are companies hard at work trying to harness its power to make AI more accurate, responsive and energy efficient. Jerome Nadel, who is the new Chief Marketing Officer at frequent Tech Field Day presenter, BrainChip Holdings Ltd, met with us for a virtual briefing to talk about BrainChip’s neuromorphic AI IP and the latest AI enablement program.
Edge AI Faces Some Serious Stumbling Blocks on Its Way
For much of the past decade AI has been in steady development and evolution in that space has been pretty staggering as a result. But even with things rolling at a seemingly great speed, the edge device market is facing some steep challenges around AI implementation. Organizations are scrambling to meet skyrocketing needs for capability, compute and bandwidth in effect of the data explosion. Most of the data acquired is low quality and not actionable, and so far providers have been able to do relatively little to help with this situation.Moreover, when AI is distributed, it is for one, more energy-intensive, and for another high on latency. As if that wasn’t bad enough, distributed AI comes with a steep memory requirement and lots of data inferencing, all of which accumulate into cost. All told, the road ahead for edge AI seems rocky, if not worse.
The Way Ahead
The most obvious next steps from here would be to bring AI to edge and reduce cloud dependency. So instead of hauling loads of data back to the data center every second, getting these data processed at the point of acquisition can reduce time and latency, and hopefully prevent inflation of computation costs. This can have more than just a few benefits including energy savings, bare minimal latency, low bandwidth and reduced memory requirements and superior inferencing from small data batches. In other words, having AI embedded in edge endpoints can have enormous payoffs.BrainChip’s Vision to Close the Chasm between Analog and Digital
The cry for help seems to have reached the ears of one company that is breaking grounds in the edge AI space with its neuromorphic AI IP. BrainChip, the name behind Mercedes VISION EQXX’s in-cabin AI, is well on its way to change the way AI is done at the edge.
An ambitious player in the AI space for long, BrainChip is a familiar name as the producer of ultra low-energy neuromorphic AI IP. Akida, BrainChip’s neuromorphic processor IP applies in-chip neuromorphic AI to compute and analyze essential sensor data at very low energy consumption. Inferencing data on the chip, it passes only the lighter inference data on to the memory careful not to overload it. With capabilities like simultaneous processing of multi-sensor modalities, on-chip one-shot learning, event-based learning, cloud independent, Akida is a processor IP that is focused on delivering essential data only.
In a recent collaboration with Swiss behavioral analytics AI company, NVISO, BrainChip addressed the growing need for AI to have power efficiency and higher performance with plans to integrate two of the companies’ solutions.
Distancing itself from its former identity as a chip company, BrainChip is now rebranding as solely an IP company with its recent collaborations and announcements. Under its current leadership, Nadel sees BrainChip playing a role in the future where humans’ interaction with the digital is more seamless and organic.
BrainChip’s New AI Enablement Program
Earlier this week, BrainChip announced a three tier AI enablement program that provides companies support for design, development and integration of AI based on use cases. The program is split into three packages that are Basic Prototype, Advanced Prototype and Functioning Prototype.Under the basic package, the offerings include hardware- PCIe boards and development systems, a production-ready ML model from BrainChip’s model zoo and a session of virtual training. Targeted towards businesses that are seeking to achieve a basic prototype, it also includes 35 hours of support.
The Advanced and Functioning Prototype packages each deliver one and two custom model designs respectively along with more hardware, sets of AKD1000 chips and longer hours of support.
In Conclusion
To fully realize the potential of AI at edge, we need really powerful processor IPs that can closely imitate biological neural computation in selection and analysis of sensor data and inferring with higher accuracy and lower power consumption. BrainChip’s Akida IP does both by providing breakthrough economics in energy footprints and surprisingly low latency by keeping AI local while making on-chip AI models better and more accurate at inferring and learning with neuromorphic computing. Special thanks to Jerome Nadel for taking the time to talk with us and Mark Smith for setting up the interview.Find out more about BrainChip’s edge AI technology on their website or check out their previous Field Day presentations. For more exclusives like this one, keep reading here at gestaltit.com.
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#AI #EdgeAI #ML #NeuromorphicComputing @BrainChip_Inc @WriterOfTech1
ABOUT THE AUTHOR
Sulagna Saha
Sulagna Saha is a writer at Gestalt IT where she covers all the latest in enterprise IT. She has written widely on miscellaneous topics. On gestaltit.com she writes about the hottest technologies in Cloud, AI, Security and sundry.A writer by day and reader by night, Sulagna can be found busy with a book or browsing through a bookstore in her free time. She also likes cooking fancy things on leisurely weekends. Traveling and movies are other things high on her list of passions. Sulagna works out of the Gestalt IT office in Hudson, Ohio.
I like the redirection. It makes a lot of sense.
“Distancing itself from its former identity as a chip company, BrainChip is now rebranding as solely an IP company with its recent collaborations and announcements. Under its current leadership, Nadel sees BrainChip playing a role in the future where humans’ interaction with the digital is more seamless and organic.”
Fullmoonfever
Top 20
On Tachyum, posted below with Rambus few days ago...
Happy B'day FF btw.
Post in thread 'BRN Discussion 2022' https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-60424
We may need to rename ourselves as Brainip.
Fact Finder
Top 20
Hopefully this will work as a link you need to register but it was a fairly straight forward process. FF
How can efficient, low-latency and high-accuracy inference be performed in ADAS?
Advanced driver-assistance systems (ADAS) require low-latency and high-accuracy inference with an additional constraint of low-power performance that can only be achieved with custom designed hardware technologies. We present one such technology that distinguishes itself from traditional machine...
msp12.bigmarker.com
supersonic001
Regular
BrainChip on LinkedIn: #ai #neuromorphic #edgeai
In this exclusive article presented by BrainChip, Sulagna Saha sat down with CMO Jerome Nadel to discuss Neuromorphic AI and Akida IP. https://lnkd.in/gZAz-Xft…
Courtesy of Your Linked in correspondent !
MDhere
Regular
From their most recent patent application, STM seem to be into analog NPUs:
Edge Impulse on LinkedIn: STMicroelectronics is set to launch its first microcontroller with a full… | 11 comments
STMicroelectronics is set to launch its first microcontroller with a full neural processing unit. The STM32N6 includes a proprietary NPU alongside an Arm… | 11 comments on LinkedInwww.linkedin.com
Surely we’re no loved here, with ARM Cortex Neuromorphic et al’ mentions
US2022121913A1 ARTIFICIAL NEURON
An artificial neuron includes a first capacitive node of application of a membrane potential of the neuron. A first transistor is configured to discharge the first capacitive node. A second capacitive node is driven according to the membrane potential and delivers a potential for controlling the first transistor. A second transistor is configured to discharge the second capacitive node. The second transistor is controlled according to a potential present at the second capacitive node.
So, to talk to an ARM Cortex, they will need an analog-to-digital converter (ADC).
PS: I haven't looked at their other 197 "neural network" patents.
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VictorG
Member
Violin1
Regular
I like your thinking BienSuerte - I've had no wine for a week while I've been locked in the cupboard. Good thing I like pizza and pancakes because that's all they could slide under the door! Out tomorrow so may give it a nudge. Clearly time for a good bottle to check I still have sense of taste, lol.It also reminds me of the sensor test with Tony Dawe when our' little' AKIDA fitted to a USB could correctly identify different finished wines ....Shiraz & Chardonnay !!......... I will be doing my own wine
buena suerte :-)
BOB Bank of Brainchip
Well when you re emerge back into society ( tomorrow!) from your little Iso quarters I think it would be rude not to indulge in celebration of your release!
.. cheersSimilar threads
