BRN Discussion Ongoing

[Taproot]

Best advertising for us from NVISO..

NVISO and BrainChip make a #winningcombo! Get ready for a game-changing #neuromorphic demo at #CES2023.

#winningcombo #neuromorphic #ces2023 #9months #akida #optimised #neuro #sdk #automotive #drivermonitoring #interiorsensing #ultralowpower #ps5 #ar #vr #nocloud #battery #massive #power #cost #savings… | Timothy Llewellynn

NVISO and BrainChip make a #winningcombo! Get ready for a game-changing event-based fully digital #neuromorphic demo at #CES2023. It has only been #9months since we got our hands on the #akida silicon. Hence we are pretty excited to announce our partner BrainChip will be displaying our...

www.linkedin.com

It has only been #9months since we got our hands on the first commercial #neuromorphic silicon. Hence we are pretty excited to announce our partner BrainChip will be displaying our #optimised #neuro #SDK designed to power next-generation #automotive #drivermonitoring and #interiorsensing solutions using standard CMOS RGB/NIR sensors capable to run at #ultralowpower.

NVISO Neuro SDK running on Akida allows some crazy stuff. What makes this great

We can run models at over 1000 FPS at ultra-low power (models run faster with 1/3 clock speed of a GPU). Think #PS5 #AR #VR type experiences in your car. #nocloud #battery
Leverage 2/4-bit quantized models that use just KBs of RAM, resulting in #massive #power and #cost #savings during production. Put models into the #tiniestofplaces running at #ultralowpower.
🎖 Fully compatible with #existing #RGB #NIR sensors, allowing for the reuse of #proven #sensor #technology and the elimination of the need to qualify new sensors. Now new training datasets - completely reuse existing data investments.
Our #unique #holistic #approach to detecting #complex #emotions maps exceptionally well to Akida’s ability to handle simultaneous multiplexing of models, something that traditional cloud, mobile, or GPU systems struggle with. Get #more #bang for your $.

Read our full press release here: https://bit.ly/3GcTKPG
No time to read? (watch 3min video here): https://lnkd.in/eXynZ-Pu

Our software demo at CES will showcase #real #usescases of the power of our Neuro SDK when run on BrainChip Akida neuromorphic processor. If you are in the #automotive business of building #L3 automated cars Ola Kaellenius Benjamin Petz François Piednoel Magnus Östberg Frank Weber Peter Dr. Lehnert Mary Barra Valerie Brown Said Ben Shoham Oliver Hoffmann Neda Cvijetic Firas Lethaus Dr.-Ing. Mohsen Sefati James Kuffner and you don't have an end-to-end silicon to AI solution strategy - then you should haul yourself over to the Socionext US booth in Vehicle Tech and Advanced Mobility Zone in the Las Vegas Convention Center, North Hall, booth 10654 at #CES2023 and checkout the demo.

A huge thanks to the NVISO and BrainChip teams Miguel de Prado Luigi Bagnato Bogdan Lazar Abdelrahman Abubakr Colin Mason Anil Mankar Rob Telson Todd Vierra
Nikunj Kotecha Nandan Nayampally Richard Chevalier for all their hard work in getting this demo ready for CES 2023!

It's so great watching Tim Llewellyn frothing over Brainchip, his enthusiasm is infectious.
You can just tell that Akida is lighting up absolutely everything that he has been working so hard to achieve over the past 13 years.
He's so excited, that he barely seems to be able to contain himself
I can't help think that Luca Verre, ( Prophesee ), is feeling a little the same !

"Tim Llewellyn is President of Bonseyes AI Marketplace. Bonseyes is an open and expandable AI platform that intends to transform AI development from a cloud centric model, dominated by large internet companies, to an edge device centric model through a marketplace and an open AI platform. Tim Llewellyn is also CEO and co-founder of Nviso, a company that provides artificial intelligence solutions."

"Tim Llewellyn started nViso October 2009"

"Tim Llewellyn is CEO and Co-founder of nViso SA. Tim has 10 years’ experience in high-tech startups and is pioneering a truly scalable emotion recognition platform to help capture and analyze the emotional response and visual attention of consumers on a scale and level of detail not previously possible. Tim received his B.E. and M.E. (Hons) degrees in Electrical Engineering from the University of Canterbury, New Zealand in 1999 and 2001. Tim was a speaker at the ESOMAR 3D Digital Dimensions 2011 conference in Miami. Prior to founding nViso, Tim worked on ultralow power wearable devices as part of the Swatch Group. In Swatch, Tim helped build the first ultra-low power Smart Watches together with Microsoft, which turned out well ahead of its time."

 

[yogi]

Are we involved in it. If posted before apology

Two days left before the #demonstration of our unique #conceptcar at CES 2023! | Sony Depthsensing Solutions

Two days left before the #demonstration of our unique #conceptcar at CES 2023! 🔵 Contact Jan-Martin Juptner on LinkedIn to book your appointment. During the #demonstration, our colleagues will showcase the full range of Sony #sensors for #interior and #exterior applications. On one hand...

www.linkedin.com

 

[equanimous]

Prior to founding nViso, Tim worked on ultralow power wearable devices as part of the Swatch Group. In Swatch, Tim helped build the first ultra-low power Smart Watches together with Microsoft, which turned out well ahead of its time."

Worth repeating again. Pun intended also

 

[Diogenese]

I can see Dio shaking his head but im eager to hear his reply
View attachment 26046

You won't get a rise out of me, but it did get a wry smile.

 

[Jumpchooks]

This recent "poking" of and subsequent commenting on a Linkedin poster is not productive in my opinion. There is no upside because those involved are escalating a silly non event into a potential fight. Why? Because the people involved are males (I think) with ego's and what starts out with a innocent question, claim, or comment, regardless of its validity, soon becomes a challenge....not unlike a group of boys gathering together and saying, "yeah?" ..."wanna bet?" ...."my dad can beat your dad", and so on. In this instance, the linkedin poster (the MB engineer) took his ball and went home rather than engaging or playing with Mr. Chapman.

Clearly, to me at least, any backing and forthing between well intentioned Brainchip cheerleading stockholders and ANYONE whether on linkedin, twitter or whatever, has got to be a cringe worthy moment for Brainchip executives if they are aware of it. And I believe they are aware of Mr. Chapman, and I believe they are aware of the MB engineer so they are aware. Ergo,...a possible cringeworthy moment which our swamped management team does not need.

Whether Mr. Chapman and others are right is not the point. In fact, I agree with them. But it is the public facing venue that has me concerned.

What we all want will be accomplished in time if we just let our company do what it is doing and refrain from poking someone,...anyone, with an association to our (Brainchips) customers - real, implied, hoped for or speculated about. This is an open stock forum....I get it, but in my opinion the risk of poking people on linkedin, or on this site, so that they literally block you (!!!) could be huge.

No one here has any idea of who may be watching sites such as linkedin.

Personally, I think we as quasi ambassadors for Brainchip need to act responsibly and be on our best public facing behavior, whether someone says their GPU dad can beat your Akida dad with one hand tied behind his back. Feel chagrined, but turn the other cheek.

We are sooooo close to what we all want. There are many non believers of Brainchip or just not aware of our technology out there, but what do we really ever gain by saying, or implying, that "my dad can whup your dad" ? And though in this case we are right about our relationship with MB this one person apparently employed by MB threatened to block someone for pointing that out. Think about that FACT.

That's my opinion, ....and now I expect a few of you may want to whup on me, metaphorically speaking.
dippY

"

Yes well said dY22. I agree, grow peeps and let our Company's "Actions Speak Louder than Words".

 

[Fact Finder]

You won't get a rise out of me, but it did get a wry smile.

And here I was thinking it would be a Rye and banana smile.

 

[Fullmoonfever]

I can't help but think, how significant an acquisition would brainchip be for Intel... and how much would they need to pay to see this happen?....they need us desperately

These guys are apparently on the hunt

https://www.usnews.com/news/technology/articles/2022-12-28/infineon-ready-to-spend-billions-on-acquisitions-ceo

Chipmaker Infineon Ready to Spend Billions on Acquisitions - CEO​

By Reuters
Dec. 28, 2022


MUNICH (Reuters) -Infineon is ready to spend several billion euros on the right takeover target as it searches for acquisitions to boost growth, Chief Executive Jochen Hanebeck said in an interview published on Wednesday.

The German chip maker is constantly "on the lookout" for suitable companies, Hanebeck told Frankfurter Allgemeine Zeitung (FAZ). "I see it in the range of up to a few billion (euros)."

The plans come at a time when demand for chips used in everything from smartphones to cars soars and supply chain bottlenecks lasting almost two years have plagued global industries from autos to healthcare and telecoms.
Infineon, which reported a 63% jump in segment profit to 3.4 billion euros ($3.6 billion) in the fiscal year that ended Sept. 30, has said it sees growth in particular in electromobility, autonomous driving, renewable energy, data centres, and the so-called internet of things.

The CEO would not comment on individual takeover candidates, according to the newspaper. He said the company could expand its portfolio in several fields, including power semiconductors, sensors, software and artificial intelligence.

It was quite conceivable that start-ups that are not sufficiently well financed, for example, would want to join a corporation, Hanebeck told FAZ.

Infineon had bought U.S. rivals Cypress Semiconductor for $10 billion and International Rectifier for $3 billion in 2019 and 2014, respectively, to expand in next-generation automobiles and Internet technologies.

To boost production capacity in Europe in a fiercely contested market, Brussels in February launched the so-called Chips Act, enabling 15 billion euros in additional public and private investment in the industry by 2030 on top of 30 billion euros of public investments already planned.

Infineon said last month it was planning a new 5 billion-euro factory in the eastern German city of Dresden.

Taiwan's TSMC is also in advanced talks about setting up its first European plant in Dresden, according to a media report.
Intel, on the other hand, has backed away from its original target of opening a chip factory in eastern Germany in the first half of 2023, according to another media report.

($1 = 0.9405 euros)

(Reporting by Kirsti Knolle, editing by John Revill, Maria Sheahan and Tomasz Janowski)
Copyright 2022 Thomson Reuters.

 

[Getupthere]

Top 10 Essential Tech Trends in 2023 Everyone Must be Ready For

Technology, be it in the form of AI or machine learning, it has made it extremely convenient for organizations to reduce costs, enhance customer experiences and increase profits. Here, we bring for you a list of top 10 essential tech trends in 2023 everyone must be ready for.

www.analyticsinsight.net

Artificial intelligence​

It has been quite some time that artificial Intelligence has become popular. As a matter of fact, AI is constantly evolving, and newer applications for this emerging technology continue to spring upon the scene. Today, there are countless applications that rely on AI – image and speech recognition, navigation programs, voice assistants like Siri and Alexa, to name a few. No wonder, the coming years will see a lot more dependence on AI.

Edge computing​

These days, we can see millions of data points collecting user information from various sources such as social media, websites, emails, and web searches. This throws light on how exponentially the data collected is increasing. This is why old and traditional computing methods fall short. Well, edge computing to the rescue.

 

[Taproot]

Prior to founding nViso, Tim worked on ultralow power wearable devices as part of the Swatch Group. In Swatch, Tim helped build the first ultra-low power Smart Watches together with Microsoft, which turned out well ahead of its time."

Worth repeating again. Pun intended also

nViso + Tobii

NVISO and Tobii to collaborate to accelerate innovation in Interior Monitoring Systems | NVISO

www.nviso.ai

Tobii + Sony

Eye-tracking firm confirms Sony has licensed its tech for PSVR2 | VGC

Players will likely be able to control game elements using just eye movement…

www.videogameschronicle.com

 

[Fact Finder]

You won't get a rise out of me, but it did get a wry smile.

Hi @Diogenese

On a serious note ‘La, la, la’ the following link for Femtosense is pointing me to a sparse Von Neumann mathematical approach improving performance but not revolutionising Ai the AKIDA way. Any ‘wisdomie’ thoughts:

Technology

femtosense.ai

Regards
FF

AKIDA BALLISTA

 

[Fact Finder]

These guys are apparently on the hunt

https://www.usnews.com/news/technology/articles/2022-12-28/infineon-ready-to-spend-billions-on-acquisitions-ceo

Chipmaker Infineon Ready to Spend Billions on Acquisitions - CEO​

By Reuters
Dec. 28, 2022


MUNICH (Reuters) -Infineon is ready to spend several billion euros on the right takeover target as it searches for acquisitions to boost growth, Chief Executive Jochen Hanebeck said in an interview published on Wednesday.

The German chip maker is constantly "on the lookout" for suitable companies, Hanebeck told Frankfurter Allgemeine Zeitung (FAZ). "I see it in the range of up to a few billion (euros)."

The plans come at a time when demand for chips used in everything from smartphones to cars soars and supply chain bottlenecks lasting almost two years have plagued global industries from autos to healthcare and telecoms.
Infineon, which reported a 63% jump in segment profit to 3.4 billion euros ($3.6 billion) in the fiscal year that ended Sept. 30, has said it sees growth in particular in electromobility, autonomous driving, renewable energy, data centres, and the so-called internet of things.

The CEO would not comment on individual takeover candidates, according to the newspaper. He said the company could expand its portfolio in several fields, including power semiconductors, sensors, software and artificial intelligence.

It was quite conceivable that start-ups that are not sufficiently well financed, for example, would want to join a corporation, Hanebeck told FAZ.

Infineon had bought U.S. rivals Cypress Semiconductor for $10 billion and International Rectifier for $3 billion in 2019 and 2014, respectively, to expand in next-generation automobiles and Internet technologies.

To boost production capacity in Europe in a fiercely contested market, Brussels in February launched the so-called Chips Act, enabling 15 billion euros in additional public and private investment in the industry by 2030 on top of 30 billion euros of public investments already planned.

Infineon said last month it was planning a new 5 billion-euro factory in the eastern German city of Dresden.

Taiwan's TSMC is also in advanced talks about setting up its first European plant in Dresden, according to a media report.
Intel, on the other hand, has backed away from its original target of opening a chip factory in eastern Germany in the first half of 2023, according to another media report.

($1 = 0.9405 euros)

(Reporting by Kirsti Knolle, editing by John Revill, Maria Sheahan and Tomasz Janowski)
Copyright 2022 Thomson Reuters.

In this environment I wonder who would lend them the extra 95 billion???

 

[Rise from the ashes]

Latest newsletter from Edge AI


edge-ai-vision.com edge-ai-vision.com

A NEWSLETTER FROM THE EDGE AI AND VISION ALLIANCE
Early July 2022 | VOL. 12, NO. 13
To view this newsletter online, please click here
EDGE AI DEVELOPMENT AND DEPLOYMENT

Deploying PyTorch Models for Real-time Inference On the EdgeNomitri
In this 2021 Embedded Vision Summit presentation, Moritz August, CDO at Nomitri GmbH, provides an overview of workflows for deploying compressed deep learning models, starting with PyTorch and creating native C++ application code running in real-time on embedded hardware platforms. He illustrates these workflows on smartphones with real-world examples targeting Arm-based CPUs, GPUs, and NPUs as well as embedded chips and modules like the NXP i.MX8+ and NVIDIA Jetson Nano. August examines TorchScript, architecture-side optimizations, quantization and common pitfalls. Additionally, he shows how the PyTorch deployment workflow can be extended to conversion to ONNX and quantization of ONNX models using an ONNX Runtime. On the application side, he demonstrates how deployed models can be integrated efficiently into a C++ library that runs natively on mobile and embedded devices and highlights known limitations.

Streamlining the Development of Edge AI ApplicationsNVIDIA
Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this talk from the 2021 Embedded Vision Summit, Barrie Mullins, former Director of Technical Product Marketing at NVIDIA, explains how the company makes it easier for developers to build, deploy, maintain and manage embedded edge products. NVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact module form factor. Together with NVIDIA pretrained models, Transfer Learning Toolkit, DeepStream and JetPack SDK, these Jetson modules open the door for you to develop and deploy innovative products across all industries.

SECURITY AND SURVEILLANCE APPLICATIONS

Developing and Deploying a Privacy-preserving Vision-based Sensor System for Commercial Real EstateXY Sense
In the United States alone, commercial buildings contain roughly 70 billion square feet of space. Constructing, operating and maintaining this space consumes a tremendous amount of resources. Yet, facility operators typically have little insight into how their spaces are utilized. XY Sense set out to develop a solution that allows facilities operators to obtain accurate, real-time information on how spaces are utilized, enabling informed decisions about how to adjust and allocate their spaces. XY Sense’s solution uses wide-angle cameras to collect real-time occupancy information over large areas while preserving privacy and security. In this 2021 Embedded Vision Summit interview conducted by Jeff Bier, Founder of the Edge AI and Vision Alliance, Luke Murray, the co-founder and CTO of XY Sense, introduces the key requirements of the application, and explores some of the challenges that XY Sense overcame in developing and deploying its solutions—including monitoring people’s movements without compromising privacy—and the approaches the company employed to overcome these challenges.

Challenges in Vision-based Adaptive Traffic Control SystemsSahaj Software Solutions
Adaptive traffic control systems (ATCSs) adjust traffic signal timing based on demand. Venkatesh Wadawadagi, Solution Consultant at Sahaj Software Solutions, begins this 2021 Embedded Vision Summit talk by presenting the main building blocks of a vision-based ATCS, including pre-processing, vehicle detection, vehicle classification and vehicle tracking. Next, he examines several of the key technical challenges in developing a computer vision-based ATCS and explores approaches for overcoming these challenges. These challenges stem from the need for an ATCS to perform accurate person and vehicle detection despite a huge variety of vehicle types, occlusion of objects of interest and difficult lighting conditions.

UPCOMING INDUSTRY EVENTS

Accelerating TensorFlow Models on Intel Compute Devices Using Only 2 Lines of Code - Intel Webinar: August 25, 2022, 9:00 am PT

More Events

FEATURED NEWS

e-con Systems Launches a Multi-camera Solution for the NVIDIA Jetson AGX Orin

New Arm Total Compute Solutions Redefine Visual Experiences

The VVDN-QCS610/410 Development Kit Meets Next-generation Visual AI Intelligence Application Requirements

IDS Imaging Development Systems' uEye XC Closes the Market Gap Between Industrial Cameras and Webcams

Qualcomm's New Unified AI Stack Portfolio Revolutionizes Developer Access and Extends AI Leadership Across the Connected Intelligent Edge

More News

EDGE AI AND VISION PRODUCT OF THE YEAR WINNER SHOWCASE

Luxonis OAK-D-Lite (Best Camera or Sensor)Luxonis
Luxonis’ OAK-D-Lite is the 2022 Edge AI and Vision Product of the Year Award winner in the Cameras and Sensors category. OAK-D-Lite is Luxonis’ next-generation spatial AI camera. It can run AI and CV on-device and fuse these results with stereo disparity depth perception to provide spatial coordinates of detected objects or features it detects. OAK-D-Lite combines the power of the Intel Myriad X Visual Processing Unit with a 4K (13 Mpixel) color camera and 480P stereo depth cameras, and can produce 300k depth points at up to 200 FPS. It has an USB-C connector for power delivery and communication with the host computer, and its 4.5 W max power consumption is ideal for low power applications. It has a baseline distance of 7.5 cm so it can perceive depth from 20 cm up to 15 m. OAK-D-Lite is an entry-level device designed to be accessible to anyone, from corporations to students. Its tiny form factor can fit just about anywhere, including in your pocket, and it comes with a sleek front gorilla-glass cover. OAK-D-Lite is offered at MSRP of $149.

Please see here for more information on Luxonis’ OAK-D-Lite. The Edge AI and Vision Product of the Year Awards celebrate the innovation of the industry's leading companies that are developing and enabling the next generation of edge AI and computer vision products. Winning a Product of the Year award recognizes a company's leadership in edge AI and computer vision as evaluated by independent industry experts.
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Just bringing these up front as vvdn was mentioned.
Earlier.

BRN Discussion Ongoing

I've sent many things to family regarding BRN, partnerships etc. Stuff that I think is truly OMG material. I'm now convinced that I'm adopted or mistakenly picked up by the wrong family due to the very subdued responses.. I get more excited responses when I ask if they need anything from the...

thestockexchange.com.au

 

[Stable Genius]

I’m still reeling from the VVDN news.

Their video below is worth a quick view!



Earlier in the week I read they are planning to be making 500 mil in sales in 3 years: nice!


After CES they are at auto expo 2023.

Followed by

 

[Fact Finder]

A PREDICTION.

I am sure that most members probably all will understand the significance of the problem that these NASA funded researchers are suggesting can be solved by using SNN based Ai to resolve routing problems in communication networks.

We know that Brainchip has been approached by at least one communication company.

So my prediction is that the use of AKIDA based technology in or as the device for routing in communication networks, be they wireless, 4G, 5G, 6G or private networks, will become ubiquitous and generate billions in revenue.

Delay-Packet-Loss-Optimized Distributed Routing Using Spiking Neural Network in Delay-Tolerant Networking​

• December 2022
• Sensors 23(1):310

DOI:10.3390/s23010310

• License
• CC BY 4.0

Authors:

Gandhimathi Velusamy


Ricardo Lent


Download full-text PDF
References (48)
Figures (2)

Abstract and Figures​

Satellite communication is inevitable due to the Internet of Everything and the exponential increase in the usage of smart devices. Satellites have been used in many applications to make human life safe, secure, sophisticated, and more productive. The applications that benefit from satellite communication are Earth observation (EO), military missions, disaster management, and 5G/6G integration, to name a few. These applications rely on the timely and accurate delivery of space data to ground stations. However, the channels between satellites and ground stations suffer attenuation caused by uncertain weather conditions and long delays due to line-of-sight constraints, congestion, and physical distance. Though inter-satellite links (ISLs) and inter-orbital links (IOLs) create multiple paths between satellite nodes, both ISLs and IOLs have the same issues. Some essential applications, such as EO, depend on time-sensitive and error-free data delivery, which needs better throughput connections. It is challenging to route space data to ground stations with better QoS by leveraging the ISLs and IOLs. Routing approaches that use the shortest path to optimize latency may cause packet losses and reduced throughput based on the channel conditions, while routing methods that try to avoid packet losses may end up delivering data with long delays. Existing routing algorithms that use multi-optimization goals tend to use priority-based optimization to optimize either of the metrics. However, critical satellite missions that depend on high-throughput and low-latency data delivery need routing approaches that optimize both metrics concurrently. We used a modified version of Kleinrock’s power metric to reduce delay and packet losses and verified it with experimental evaluations. We used a cognitive space routing approach, which uses a reinforcement-learning-based spiking neural network to implement routing strategies in NASA’s High Rate Delay Tolerant Networking (HDTN) project”

https://www.researchgate.net/publication/366644703_Delay-Packet-Loss-Optimized_Distributed_Routing_Using_Spiking_Neural_Network_in_Delay-Tolerant_Networking/fulltext/63b00bfcc3c99660ebbad60d/Delay-Packet-Loss-Optimized-Distributed-Routing-Using-Spiking-Neural-Network-in-Delay-Tolerant-Networking.pdf

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Learning]

https://www.linkedin.com/posts/mark...iw?utm_source=share&utm_medium=member_android

Learning 🏖

 

[Stable Genius]

A PREDICTION.

I am sure that most members probably all will understand the significance of the problem that these NASA funded researchers are suggesting can be solved by using SNN based Ai to resolve routing problems in communication networks.

We know that Brainchip has been approached by at least one communication company.

So my prediction is that the use of AKIDA based technology in or as the device for routing in communication networks, be they wireless, 4G, 5G, 6G or private networks, will become ubiquitous and generate billions in revenue.

Delay-Packet-Loss-Optimized Distributed Routing Using Spiking Neural Network in Delay-Tolerant Networking​

• December 2022
• Sensors 23(1):310

DOI:10.3390/s23010310

• License
• CC BY 4.0

Authors:

Gandhimathi Velusamy


Ricardo Lent


Download full-text PDF
References (48)
Figures (2)

Abstract and Figures​

Satellite communication is inevitable due to the Internet of Everything and the exponential increase in the usage of smart devices. Satellites have been used in many applications to make human life safe, secure, sophisticated, and more productive. The applications that benefit from satellite communication are Earth observation (EO), military missions, disaster management, and 5G/6G integration, to name a few. These applications rely on the timely and accurate delivery of space data to ground stations. However, the channels between satellites and ground stations suffer attenuation caused by uncertain weather conditions and long delays due to line-of-sight constraints, congestion, and physical distance. Though inter-satellite links (ISLs) and inter-orbital links (IOLs) create multiple paths between satellite nodes, both ISLs and IOLs have the same issues. Some essential applications, such as EO, depend on time-sensitive and error-free data delivery, which needs better throughput connections. It is challenging to route space data to ground stations with better QoS by leveraging the ISLs and IOLs. Routing approaches that use the shortest path to optimize latency may cause packet losses and reduced throughput based on the channel conditions, while routing methods that try to avoid packet losses may end up delivering data with long delays. Existing routing algorithms that use multi-optimization goals tend to use priority-based optimization to optimize either of the metrics. However, critical satellite missions that depend on high-throughput and low-latency data delivery need routing approaches that optimize both metrics concurrently. We used a modified version of Kleinrock’s power metric to reduce delay and packet losses and verified it with experimental evaluations. We used a cognitive space routing approach, which uses a reinforcement-learning-based spiking neural network to implement routing strategies in NASA’s High Rate Delay Tolerant Networking (HDTN) project”

https://www.researchgate.net/publication/366644703_Delay-Packet-Loss-Optimized_Distributed_Routing_Using_Spiking_Neural_Network_in_Delay-Tolerant_Networking/fulltext/63b00bfcc3c99660ebbad60d/Delay-Packet-Loss-Optimized-Distributed-Routing-Using-Spiking-Neural-Network-in-Delay-Tolerant-Networking.pdf

My opinion only DYOR
FF

AKIDA BALLISTA

I can recall some discussion about Cisco who’s could be interested as well.

I think they were listed in a CEO presentation (going back a few years) as a company Brainchip had conversations with.

I appreciate LinkedIn is a loose dot but it’s nice to see an employee from Cisco liking Brainchips recent New Years salutation!

 

[JoMo68]

Don’t give up on the bread making @Rise from the ashes I have been making sourdough bread for 3 years now and it took a few attempts to get it right. It took a while but now I understand the process and know when my dough is ready to bake. Just like everything in life you learn most when things don’t go quite right.

I’ve learnt to make a pretty decent sourdough loaf over the last 3 years too. Lovely smell of freshly baking bread on the weekends

 

[Deleted member 118]

Wish I was going.

This Is the Biggest Consumer Tech Expected To Be Revealed at CES 2023

The biggest week in tech is just a few days away.

interestingengineering.com

 

[Schwale]

Apologies if this article has already been posted. Looks like a lot of work is going into event based cameras.

For those wandering who Thomas is... I have attached a screen shot of his profile also. He is from Airbus.

 

[Deleted member 118]

I’ve learnt to make a pretty decent sourdough loaf over the last 3 years too. Lovely smell of freshly baking bread on the weekends

Got the recipe please x but do you have a quicker one than one that takes 3 years to make