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Today, I stumbled across a German company called Dryad and its solar-powered ‘ultra-early’ wildfire detection sensor technology, which they are promoting as a “paradigm shift in approach to wildfire management”. It is currently being tested by the California Department of Forestry and Fire Protection (CAL FIRE).


https://www.dryad.net/whitepaper-2023
Apr 4

CAL FIRE pilots Dryad Networks’ ‘ultra-early’ wildfire sensors ahead of next fire season​

US Federal department looks specifically at sensor technology for first time, marking paradigm shift in approach to wildfire management
Dryad Networks is ramping up the manufacturing of its ‘detection within minutes’ wireless sensor, from 10,000 units sold in 2022 to 230,000 by the end of the year, to be ready to deploy at scale



The California Department of Forestry and Fire Protection (CAL FIRE) is piloting German environmental start-up Dryad Networks’ ‘ultra-early’ wildfire detection technology to improve fire detection speeds, after severe wildfire seasons across the US saw, in 2022 alone, nearly 70,000 wildfires reported and 7.5 million acres burnt.
CAL FIRE, which is at the frontline of wildfire management in California, is trialling 400 of Dryad’s sensors in Jackson Demonstration State Forest. The pilot aims to show how sensor technology can support the Department by detecting wildfires much faster, subsequently reducing their destruction and the cost of firefighting resources needed to extinguish a blaze.
Wildfire detection methods have remained largely unchanged for decades, with most forested areas relying on human sightings, camera or satellite technology, which can only detect a fire when it’s visible above the canopy and already out of control. The adoption of new ‘ultra-early’ detection technology can reduce wildfire detection times from several hours to a matter of minutes, making it possible for firefighters to get to a fire when it is still easy to put out.
The pilot scheme comes at a pivotal moment in the approach to wildfire management in the US, with the United States Department of Agriculture specifically including sensor technology for the first time in its recently published Request for Information (RFI) for wildfire and land management. The RFI highlighted the challenges associated with keeping communities safe and more resilient to the impacts of climate change and demonstrates the urgent need to develop innovative new approaches to wildfire detection.

Not only can sensor technology detect wildfires much faster, but it can also provide their precise location and utilise trained ‘AI’ noses to distinguish between the different fuels that ignite them. With growing interest in its sensor and network technology, Dryad is ramping up the manufacturing of its wireless sensors, moving from 10,000 units sold in 2022 to producing up to 230,000 by the end of the year, to be ready to deploy sensors worldwide and at scale.

Dryad’s customers already include a number of municipalities, private forest owners and utility companies around the world. The company also has agreements with 30 resellers across Europe, the Americas and Asia, including working partnerships with Bosch, STIHL, and Vodafone Global, to bring the benefits of the technology to an even larger customer base.

Carsten Brinkschulte, CEO and Co-founder of Dryad Networks: “We’ve seen incredible commercial traction since developing our market-first sensor technology two years ago. On top of our pilot scheme with CAL FIRE, we’re also working with the City of Eberswalde, Germany, and currently have 25 taking place in America, Europe, Canada, and Asia.”

When it comes to wildfires, the message we’re getting over and over again is that timing is everything. The market is in desperate need of rapidly deployable, low-cost, low-power wireless sensors that can detect wildfires in minutes. To meet this need, we’re investing in scaling up the production of our sensors so that we’re ready to fulfil orders

47d9ad_8c5da0c196cf4b98b073aa3311545ad5~mv2.jpg


Our goal by 2030 is to deploy 120 million sensors around the world, putting us on track to save approximately 3.9m hectares of forest and prevent 1.7bn tons of CO2 emissions. These are ambitious goals but not fantasy numbers – we believe that this scale is achievable and that we will be able to fulfil our mission to have a significant impact in the fight against climate change. Only with the wide-scale rollout of sensor technology can we really get a handle on wildfires.”

The immediate and devastating impact of wildfires is easily seen, but the true cost of wildfire is often hidden. These impacts are outlined in Dryad’s whitepaper, entitled “What lies beneath: the hidden truth about wildfire”, which is available for download here.

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Dryad Networks Wins Innovation World Cup at Hannover Messe


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A forum search came up with both @Sirod69 and @Gman referring to this company last year, and a number of posters wondering about a possible connection between Brainchip and the “Bosch BME688 digital low power gas pressure temperature & humidity sensor with AI“, released in July 2022, which is an integral part of the Dryad device.


Others also mentioned the partnership of MegaChips and Bosch, and someone commented on Rob Telson’s “like” when the Bosch BME688 gas sensor was first released. Well, we know he likes plenty of posts by other companies that are not necessarily partners or customers of Brainchip, either because he is a genuinely friendly guy and/or because he wants other companies to notice Brainchip and hopefully strike a deal with them one day.

Given the meagre revenue in the last 4C and putting aside the argument that revenue might not come directly, but through MegaChips, let’s err on the side of caution and assume the AI in the original Bosch BME688 was not Akida.
But could there possibly be a future upgraded version with Akida inside?
Or what about that ultra-low-power air quality sensor? (Do I get this right that there are two different sensors involved? Or is it a single sensor with both an air quality and a gas sensing mode, the latter being triggered once a certain threshold has been reached? I know embarrassingly next to nothing about sensors, I’m afraid… 🤔)

What I find intriguing is the following information taken from the Dryad website‘s FAQ section:

How do Silvanet’s sensors get power deep in the forest?
Our sensors have been extensively tested to ensure that their integrated solar panels can meet their energy needs, even in shaded forest locations. To maximize the energy efficiency of our Wildfire Sensors, we use a two-phase detection system which relies on ultra-low-power air quality sensing for the most part, triggering very accurate gas sensing when the air quality sensing mode suspects a fire. This way, Dryad combines the advantages of the air quality sensor (extremely low energy consumption) with the advantages of the gas sensor (minimizing alarms) while at the same time compensating for the disadvantages of both.


Is Dryad involved solely in wildfire detection?​

While our initial focus at Dryad is wildfire detection, the Bosch BME688 sensors used in Silvanet sensor devices also collect environmental data such as temperature, humidity and air pressure which is periodically sent to the Silvanet Cloud, allowing forest owners to better understand the microclimate of the forest and its influence and development of the forest heath over time.

Further planned use-cases involve sensors that can detect chainsaw noise to help prevent illegal logging.

It’s not just about forests either, our technology can also be applied to other ecosystems including lakes, rivers and oceans. At Dryad, we have ambitious plans to connect the natural world and protect our plane
t.


Sensors that can detect chainsaw noise to help prevent illegal logging??? Great idea!
I only hope they are looking at the right company for their future planned use cases! Just a gentle reminder:
1685819610295-png.37669




The good thing is, they seem to be open-minded regarding collaborations:

View attachment 37673

Then again, the following paragraph in their FAQ section makes it clear that there is no on-device learning involved, which as we know is a trademark of Akida. However, this may not actually be needed here, as explained.

How can these sensors detect the fire? How can they know it’s a real fire but not just a burning cigarette?​

The built-in artificial intelligence (AI) of the sensors is continually trained for the specific ‘smell’ of the target forest on fire. Our customers collect samples from the forest floor and send them to Germany so that we can train our AI in the lab. Over time, we will collect more and more samples from typical forests in the different parts of the world and will eventually no longer have to train the AI for new deployments as there is only a finite amount of forest types. We expect this to be the case within the first two years of operation.

Doing so allows our Silvanet system to be continuously evolving and improving and greatly minimizes any risks of false positives within the platform.

———————————————————————————————————-

Six weeks ago, at Hannover Messe, Dryad won the EBV Innovation Hero 2023, a special prize awarded to groundbreaking European techpreneurs.

No matter whether or not Brainchip is involved, I wish this start-up the best of luck - I love companies that are trying to make the world a better place by developing solutions for real-world problems. This being an ASX stock forum, with TSE posters predominantly living in Australia, wildfires sadly are a very real threat to many of you. Hopefully this groundbreaking technology can help to fight them early on.

P.S.: The company’s name may also be a wordplay on the English word “dry” (> wildfire), but according to their mission statement it is actually an allusion to Greek mythology: “In Greek mythology, dryads are tree spirits living in symbiotic relationship with their hosts. Our artificial 'Dryads' monitor, analyze and protect forests using cutting-edge technology.”
How lovely!

That was an excellent post thank you...Gas, Air Quality and Humidity Sensors have been part of our DNA since the days
of Lou Di Nardo...mentioned numerous times over the journey prior to our 5 tactile sensor technology built into the
Akida 1000 NSoC....the brilliance of Peter and the entire team who created this, makes me personally really sad when I hear
comments like, Akida 1000 NSoC was a flop or too narrow in it's offerings, maybe so, but this chip in digital form was and still is
groundbreaking technology that started it's journey here in Australia.

Please don't ever undersell the genesis of this revolutionary creation, Akida was born on this brilliant achievement.
 
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Labsy

Regular
For me, the big bucks are with Qualcomm and NVIDIA.... heaven forbid we get integrated into their tech. We will never de couple as nothing else is as easy and cheap for them to integrate....
Generational wealth big time..... we can only hope. 🤞🤞🙏🙏
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
There might be some interesting tidbits from this Qualcomm video filmed a few days ago for anyone who has a spare hour up their sleeve.🧐


Show Notes:
0:00:00 - Countdown
0:04:54 - Teaser & Introductions
0:06:35 - About Qualcomm AI Research
0:12:20 - How Has AI Already Impacted Mobile User Experiences?
0:15:40 - How To Encourage More Natural Voice Assistant Interactions?
0:16:40 - Differences And Optimizations Of Generative AI Models
0:18:01 - Challenges Of Bringing AI To Low Power/Edge Devices
0:23:37 - Neurons? Quantization? Basics of AI Lingo
0:28:12 - How Is Accuracy Improved Despite Using Int8/Int4?
0:33:21 - What Mobile Apps Are Already Using Int8?
0:35:30 - Why Shouldn't FP Substitute For Int On Mobile?
0:39:07 - NN Model Optimization Visual
0:39:48 - Compilation Optimization For Various Hardware
0:41:33 - What Considerations Determine Where A Workload Runs?
0:43:23 - Int4 Super Resolution QSRNet Gaming Demo
0:50:00 - How Is Qualcomm Approaching And Researching AI Ethics?
0:52:55 - Stable Diffusion On Mobile Live Demo
1:00:43 - Will Super Resolution, Etc. Make It To Mid-Tier Phones?
1:02:46 - What Aspects Of AI Research Personally Excite You?
1:07:12 - Wrap-Up And Thanks For Stopping By!


Two And A Half Geeks LIVE With Qualcomm Director Of AI Research​

by Chris Goetting — Thursday, June 01, 2023, 11:36 AM EDT



qualcomm ai discussion hero

AI has arrived and it seems to be everywhere. But what makes AI tick on ultra-low power devices like smartphones? How can we expect to harness not only recommendation engines and Google maps, but also, generative AI and true machine learning on devices that consume only a few watts of power? Let's find out and learn what market innovators like Qualcomm are doing to shape the future of personal AI assistance.

geeks qualcomm dr soriaga


On a very special edition of our Two And A Half Geeks livestream, Dave, Marco, and Chris were joined by Dr. Joseph Soriaga, Senior Director of Technology for Qualcomm AI Research, for a discussion about all things artificial intelligence and the future of AI in your pocket and at the edge.

qualcomm qsrnet 4int demo

QSRNet Int4 Super Resolution Demo
Dr. Soriaga explained the role of Qualcomm's AI Research team, provided a crash course on AI terminology like quantization, and covered many of the ways that AI models are being tuned to run at the edge. He also shared a couple live demos with us that ran directly on a mobile phone. The first is a super resolution upscaler (QSRNet) for gaming which leverages Int4 to be incredibly efficient as it converts a 540p input to a 4K frame. Then, he showed us a Stable Diffusion model running locally on the handset, all while taking questions from the audience.
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Screen Shot 2023-06-04 at 1.57.13 pm.png




PS: He doesn't judge or come with baggage but he is missing the top half of his head.😝😝

Screen Shot 2023-06-04 at 2.01.51 pm.png
 
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equanimous

Norse clairvoyant shapeshifter goddess
For me, the big bucks are with Qualcomm and NVIDIA.... heaven forbid we get integrated into their tech. We will never de couple as nothing else is as easy and cheap for them to integrate....
Generational wealth big time..... we can only hope. 🤞🤞🙏🙏
Intel and ARM partnership is still a big play aswell.

Akida can compliment Nvidia as described below.

GPU Implementation of Spiking Neural Networks for
Color Image Segmentation

The remainder of this paper is organized as follows. In
Section II, GPU and the Compute Unified Device Architecture
(CUDA), which is the approach to programming NVDIA GPU,
are introduced. The architecture of the neural network for
segmentation of color images is presented in Section III. In
Section IV, GPU-based implementation of the SNN model is
presented.

VI. CONCLUSION AND FURTHER WORK

This paper presents a general implementation of spiking neural
networks using CUDA architecture in the GPU. The algorithm
of spiking neural network model for color image segmentation
is used to demonstrate the implementation techniques. The
experimental results show that CUDA implementation of
spiking neural networks can speed up running time over 31
times for images with size 1536X2040
. In this study, only
multiple threads in CUDA have been used, it is promising to
speed up further if texture mechanism of CUDA is applied. The
further work is to develop a theory to bridge two architectures
of spiking neural networks and CUDA, and apply this
implementation approach to more complicated spiking neuron
models

 
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I thought our daily shares traded last week was massive compared to normal.
1685851457106.png
Seemed like a good couple of weeks because April and May were dead, but pretty average trading fortnight looking back over the year
 
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Esq.111

Fascinatingly Intuitive.
Afternoon equanimous,

Two words.....

A CUDA BALISTA .

😃.

Regards,
Esq.
 
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equanimous

Norse clairvoyant shapeshifter goddess
Intel and ARM partnership is still a big play aswell.

Akida can compliment Nvidia as described below.

GPU Implementation of Spiking Neural Networks for
Color Image Segmentation

The remainder of this paper is organized as follows. In
Section II, GPU and the Compute Unified Device Architecture
(CUDA), which is the approach to programming NVDIA GPU,
are introduced. The architecture of the neural network for
segmentation of color images is presented in Section III. In
Section IV, GPU-based implementation of the SNN model is
presented.

VI. CONCLUSION AND FURTHER WORK

This paper presents a general implementation of spiking neural
networks using CUDA architecture in the GPU. The algorithm
of spiking neural network model for color image segmentation
is used to demonstrate the implementation techniques. The
experimental results show that CUDA implementation of
spiking neural networks can speed up running time over 31
times for images with size 1536X2040
. In this study, only
multiple threads in CUDA have been used, it is promising to
speed up further if texture mechanism of CUDA is applied. The
further work is to develop a theory to bridge two architectures
of spiking neural networks and CUDA, and apply this
implementation approach to more complicated spiking neuron
models

GPU Implementation of Spiking Neural Networks for Edge Detection

Zhiqiang Zhuo, Qingxiang Wu, Zhenmin Zhang, Gongrong Zhang, and Liuping Huang College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China zhuozhiqiang1@163.com, qxwu@fjnu.edu.cn Abstract.

Spiking neural networks (SNN) are effective model inspired by neural networks in the brain. However, when networks increase in size towards the biological scale, it is time-consuming to simulate the networks using CPU programming. To solve this problem, Graphic Processing Units (GPU) provide a method to speed up the simulation. It is proposed and proved as a pertinent solution for implementation of large scale of neural networks. This paper presents a GPU implementation of SNN for edge detection. The approach is then compared with an equivalent implementation on an Intel Xeon CPU. The results show that the GPU approach provide about 37 times faster than the CPU

In conclusion,CUDA can be used to implement large scale of SNN. Since GPUs can be installed with the PC motherboard, it makes that GPU-based SNN can be applied to industry products

A Cuda Ballista


 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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HopalongPetrovski

I'm Spartacus!
View attachment 37689



PS: He doesn't judge or come with baggage but he is missing the top half of his head.😝😝

View attachment 37690


Screen Shot 2023-06-04 at 1.57.13 pm.png




www.dailymail.co.uk

Love is in the A.I.r: NYC mom, 36, marries virtual husband 'Eren'

Rosanna Ramos, a petite, active 36-year-old from the Bronx, 'married' Eren Kartal this year - virtually of course - after creating him on an online AI companion site.
www.dailymail.co.uk




”PS: He doesn't judge or come with baggage but he is missing the top half of his head.”

Somewhere handy to rest your coffee cup 🤣
 
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Interesting article about where the big tech companies could be heading and what it might mean for Arm:


"We may learn more about Qualcomm's Oryon architecture later this year or at CES 2024. At that point we'll know if Qualcomm made the shift to RISC-V or not. If they have made the shift, then it's likely to set off a major industry wide ripple effect."
 
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jtardif999

Regular
They will still get their remuneration and will still get the vote and be re-elected to hold their directorships.

If BRN tech is the best thing since sliced bread, does it not attract the best people to work there?

What is the bigger picture relating to signing new licensees? Currently sitting at 18months without a new one. That’s $12million in executive fees for no new engagements.. Hard times they say more so than the dot com crash. Not so hard with their remuneration.

Prove us wrong with performance.
Megachips bought $4M in licences from BrainChip in 2022 to create chips on behalf of their customers with Akida1.0 IP inside.
 
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ndefries

Regular
Megachips bought $4M in licences from BrainChip in 2022 to create chips on behalf of their customers with Akida1.0 IP inside.
I don't know why the company doesn't promote this fact more to shareholders
 
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Zedjack33

Regular
Hmmmm
 

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IMO ........... Great to see some other Big named Co's attending and should also be a good opportunity for a bit of Co networking with the other attendee's.
No need to network. The company opening remarks will be:

The future is Spiking Neural networks! How do I know this? I see over 50 companies represented here that have NDA's with Brainchip!

IMO and LOLing

SC
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
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Frangipani

Regular
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