TheUnfairAdvantage
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Hmm. Very quiet.
BRN Discussion Ongoing
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Jacob Kiraz
Emerged
Nah mate a IP Licence just around the corner
Tothemoon24
Top 20
Tothemoon24
Top 20
Probably been posted , great read
Extending the IoT to Mars
- May 30, 2024
- Steve Rogerson
- Eseye
How far can the IoT go? Further than you think, as Steve Rogerson discovered at this week’s Hardware Pioneers Max show in London.
We will never see a little green man using the self-checkout till at the Mars branch of Walmart to buy a bottle of Romulan ale. Nor will a woman from Venus see how she looks in that polka-dot dress using a magic mirror on the Moon.
But that does not mean the IoT will not stretch beyond the upper reaches of Earth’s atmosphere; it already has.
These seeds were first sown when the realisation of the benefits of connecting armies of sensors to the internet first dawned, though then few considered the problems lurking of handling such vast amounts of data. Yes, the data are useful, but only if something useful can be done with them.
Given much of this involved monitoring situations remotely, an added problem became latency. Some benefits could only be harvested if the response to the data was immediate, or close to it.
Not long passed before it became obvious that for the IoT to succeed, data had to be processed and acted on at the edge. That meant giving some autonomy to these systems. At its simplest, it saw thermostats in factories, offices and homes turning the heating on if it got too cold or increasing ventilation if it got too hot.
Easy so far. But we needed more, especially if we were going to have more automated factories, robot deliveries and self-driving cars. The job of the edge processor was becoming harder. Higher intelligence was needed and, thankfully, it has arrived, and getting better all the time.
Developments in artificial intelligence (AI) have blossomed in recent years, bringing impressive smartness to edge devices.
“IoT starts and ends with the devices,” Marco Parmegiani, architect director at Eseye (www.eseye.com), told visitors to this week’s Hardware Pioneers Max (HPM) show in London. “This year, we are seeing the rise of the intelligent edge.”
He said things had to happen at the edge. For example, there are devices that will monitor for a water leak. If all they do is send or sound an alarm, it could all be too late by the time you get home to fix it. But add a bit of intelligence and it will work out if the water needs turning off and do it itself. In fleet management, devices can intelligently know whether to send data by wifi, cellular or satellite depending on which is available and which is cheapest at the time.
“The intelligence is being pushed down to the device,” said Marco. “IoT devices are becoming cleverer. You can now put a lot more processing power into the device and make the decision about whether and when to send data.”
It did not take long before these advances caught the attention of people with more off-world problems. Space bodies such as Nasa and the European Space Agency (ESA) have long battled with latencies – space is big, as Douglas Adams pointed out in Hitchhikers Guide to the Galaxy – that go far beyond what is experienced on Earth. Remotely controlling a rover on Mars is just not practical in real time; by the time the engineer on Earth has pressed the stop button, the rover will have its face full of red rock. AI is becoming the answer.
This was explained by Alf Kuchenbuch, a vice president at Australian technology company Brainchip (brainchip.com), who told HPM delegates how excited he was that his company’s chips were now doing real edge processing in space.
“Nasa and the ESA are picking up on AI,” he said. “They want to see AI in space. They are nervous, but they are acting with urgency.”
Earlier this month, he attended a workshop in the Netherlands organised by the ESA where he said the general view was that everything that happened on Earth would happen in space in five years’ time.
“Some find that shocking, but it is an inevitable truth,” he said. “Nasa is picking up on this too.”
But he said even satellites in low Earth orbit sometimes hit latency problems. There are also bandwidth difficulties. Satellites sending constant images of the Earth’s surface use a lot of bandwidth, but many of those images are useless because of cloud cover. Applying AI to the images on the satellite can pick those that show not just the top of clouds, and sometimes they can stitch images together, reducing drastically the amount of data they need to send. And if they are being used, say, to track ships, they don’t need to keep sending pictures of the ship, but just its coordinates.
Taking a leaf from autonomous vehicles on Earth, similar technology can be used for performing docking manoeuvres in space and, as mentioned, controlling ground vehicles on the Moon or Mars. Another application is debris removal. There is a lot of junk circling the Earth and there are plans to remove it by slowing it down so it falls towards Earth and burns up.
“These are why AI in space is so necessary,” said Alf.
Brainchip is using neuromorphic AI on its chips, which Alf said had a big advantage in that it worked in a similar way to a brain, only processing information when an event happened, lowering the power requirements. The firm’s Akida chip is on SpaceX’s Transporter 10 mission, launched in March.
“We are waiting for them to turn it on and for it to start doing its work,” he said. He wouldn’t say what that work was just that: “It is secret.”
Brainchip is also working with Frontgrade Gaisler (www.gaisler.com), a provider of space-grade systems-on-chip, to explore integrating Akida into fault-tolerant, radiation-hardened microprocessors to make space-grade SoCs incorporating AI.
“If this works out, our chip will be going on the Moon landing, or even to Mars,” he said. “Akida is not a dream. It is here today, and it is up there today.”
I was going to end with some joke about the IoT boldly going to the final frontier, but felt the force wouldn’t really be with me, so I didn’t make it so.
Share:
Getupthere
Regular
Arm expects 100 billion Arm devices will be ready for AI by end of 2025 — Reuters
British chip designer Arm Holdings (O9Ty.F) expects 100 billion Arm devices worldwide will be ready for artificial intelligence by the end of next year, the company's chief executive, Rene Haas, said on Monday at the Computex forum in Taipei.
1% of a lot = a lot
cosors
👀
And which of eseye's partners supports them with Ai at the edge?
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Jacob Kiraz
Emerged
Are we involved with ARM
Arm expects 100 billion Arm devices will be ready for AI by end of 2025 — Reuters
British chip designer Arm Holdings (O9Ty.F) expects 100 billion Arm devices worldwide will be ready for artificial intelligence by the end of next year, the company's chief executive, Rene Haas, said on Monday at the Computex forum in Taipei.apple.news
1% of a lot = a lot
Jacob Kiraz
Emerged
Ip signings then I'll rest easyProbably been posted , great read
Extending the IoT to Mars
- May 30, 2024
- Steve Rogerson
- Eseye
Credit: Nasa/JPL/MSSS
How far can the IoT go? Further than you think, as Steve Rogerson discovered at this week’s Hardware Pioneers Max show in London.
We will never see a little green man using the self-checkout till at the Mars branch of Walmart to buy a bottle of Romulan ale. Nor will a woman from Venus see how she looks in that polka-dot dress using a magic mirror on the Moon.
But that does not mean the IoT will not stretch beyond the upper reaches of Earth’s atmosphere; it already has.
These seeds were first sown when the realisation of the benefits of connecting armies of sensors to the internet first dawned, though then few considered the problems lurking of handling such vast amounts of data. Yes, the data are useful, but only if something useful can be done with them.
Given much of this involved monitoring situations remotely, an added problem became latency. Some benefits could only be harvested if the response to the data was immediate, or close to it.
Not long passed before it became obvious that for the IoT to succeed, data had to be processed and acted on at the edge. That meant giving some autonomy to these systems. At its simplest, it saw thermostats in factories, offices and homes turning the heating on if it got too cold or increasing ventilation if it got too hot.
Easy so far. But we needed more, especially if we were going to have more automated factories, robot deliveries and self-driving cars. The job of the edge processor was becoming harder. Higher intelligence was needed and, thankfully, it has arrived, and getting better all the time.
Developments in artificial intelligence (AI) have blossomed in recent years, bringing impressive smartness to edge devices.
Marco Parmegiani from Eseye.
“IoT starts and ends with the devices,” Marco Parmegiani, architect director at Eseye (www.eseye.com), told visitors to this week’s Hardware Pioneers Max (HPM) show in London. “This year, we are seeing the rise of the intelligent edge.”
He said things had to happen at the edge. For example, there are devices that will monitor for a water leak. If all they do is send or sound an alarm, it could all be too late by the time you get home to fix it. But add a bit of intelligence and it will work out if the water needs turning off and do it itself. In fleet management, devices can intelligently know whether to send data by wifi, cellular or satellite depending on which is available and which is cheapest at the time.
“The intelligence is being pushed down to the device,” said Marco. “IoT devices are becoming cleverer. You can now put a lot more processing power into the device and make the decision about whether and when to send data.”
It did not take long before these advances caught the attention of people with more off-world problems. Space bodies such as Nasa and the European Space Agency (ESA) have long battled with latencies – space is big, as Douglas Adams pointed out in Hitchhikers Guide to the Galaxy – that go far beyond what is experienced on Earth. Remotely controlling a rover on Mars is just not practical in real time; by the time the engineer on Earth has pressed the stop button, the rover will have its face full of red rock. AI is becoming the answer.
Alf Kuchenbuch from Brainchip.
This was explained by Alf Kuchenbuch, a vice president at Australian technology company Brainchip (brainchip.com), who told HPM delegates how excited he was that his company’s chips were now doing real edge processing in space.
“Nasa and the ESA are picking up on AI,” he said. “They want to see AI in space. They are nervous, but they are acting with urgency.”
Earlier this month, he attended a workshop in the Netherlands organised by the ESA where he said the general view was that everything that happened on Earth would happen in space in five years’ time.
“Some find that shocking, but it is an inevitable truth,” he said. “Nasa is picking up on this too.”
But he said even satellites in low Earth orbit sometimes hit latency problems. There are also bandwidth difficulties. Satellites sending constant images of the Earth’s surface use a lot of bandwidth, but many of those images are useless because of cloud cover. Applying AI to the images on the satellite can pick those that show not just the top of clouds, and sometimes they can stitch images together, reducing drastically the amount of data they need to send. And if they are being used, say, to track ships, they don’t need to keep sending pictures of the ship, but just its coordinates.
Taking a leaf from autonomous vehicles on Earth, similar technology can be used for performing docking manoeuvres in space and, as mentioned, controlling ground vehicles on the Moon or Mars. Another application is debris removal. There is a lot of junk circling the Earth and there are plans to remove it by slowing it down so it falls towards Earth and burns up.
“These are why AI in space is so necessary,” said Alf.
Brainchip is using neuromorphic AI on its chips, which Alf said had a big advantage in that it worked in a similar way to a brain, only processing information when an event happened, lowering the power requirements. The firm’s Akida chip is on SpaceX’s Transporter 10 mission, launched in March.
“We are waiting for them to turn it on and for it to start doing its work,” he said. He wouldn’t say what that work was just that: “It is secret.”
Brainchip is also working with Frontgrade Gaisler (www.gaisler.com), a provider of space-grade systems-on-chip, to explore integrating Akida into fault-tolerant, radiation-hardened microprocessors to make space-grade SoCs incorporating AI.
“If this works out, our chip will be going on the Moon landing, or even to Mars,” he said. “Akida is not a dream. It is here today, and it is up there today.”
I was going to end with some joke about the IoT boldly going to the final frontier, but felt the force wouldn’t really be with me, so I didn’t make it
Bravo
If ARM was an arm, BRN would be its biceps💪!
Arm expects 100 billion Arm devices will be ready for AI by end of 2025 — Reuters
British chip designer Arm Holdings (O9Ty.F) expects 100 billion Arm devices worldwide will be ready for artificial intelligence by the end of next year, the company's chief executive, Rene Haas, said on Monday at the Computex forum in Taipei.
1% of a lot = a lot
cosors
👀
"News
18 January 2024
Reading Time: 3 mins
Eseye Predicts that 2024 will See the Rise of the Intelligent IoT Edge
Eseye, a world leader in IoT connectivity solutions, today launched its fifth consecutive IoT Predictions report which boldly coins 2024 ‘The Year of IoT Intelligence at the Edge’. This is off the back of the industry starting to see a massive shift in power from the mobile network operator to the Enterprise in 2023. According to the predictions, this year IoT will also see an increased focus on resiliency and trust – a development that has been signaled for many years.According to Nick Earle, CEO at Eseye, “In 2023 we noted a control shift from the network operator to the Enterprise and the device. This will continue into 2024 where we anticipate an increased focus on the shift from the traditional data centre to the Edge. This will allow for more intelligent connectivity and for IoT to embrace ‘Connected by Design’ principles which will increase device and Edge intelligence. This is a major leap forward for the technology and its users as data at the Edge becomes more business, mission and life-critical”.
Already industries such as healthcare, financial payments and the energy sector are experiencing the benefits of IoT and this is set to improve significantly as intelligence moves to the Edge and ultimately to the device itself, disrupting the IoT landscape further.
Based on this, Eseye’s 2024 predictions centre around connectivity intelligence shifting to the IoT device. To achieve this, Eseye anticipates three key developments to unfold in the industry this year.
First, new ‘Smart Connectivity’ software will link the Edge and the cloud, which will aid in combining full-stack integration enabling IoT devices to gather and process information to provide secure, resilient device-to-cloud connectivity.
Second, Eseye predicts that in 2024 we will see the emergence of on-device communications software solutions that will provide the ‘Smart Connectivity’ that powers distributed data processing for IoT and sets the groundwork for 5G. This will be significant for various industries such as smart cars, security, and healthcare as it unlocks new capabilities for IoT.
“This year we will start to lay the foundations for challenging applications, such as augmented reality (AR) for telemedicine and remote surgery as we unlock the power of 5G,” continues Socher. “Implementing these capabilities can only be made possible by enabling core components of the intelligence at the one common architectural component – the device.”
Eseye’s third prediction for 2024 focuses on ‘Smart Connectivity’ as the foundation for Device-to-Cloud security, compliance and trust. As the world prioritises securing data from malicious actors to make sure it cannot be stolen or altered, as well as implementing measures to adhere to data sovereignty and other mandated compliance, IoT will need to evolve to offer on-device security that is integrated into connectivity.
To enable this, IoT will need intelligent, device resident connectivity software which will protect the device, network and applications, along with their keys. It will act as an implicit agent on the device providing instrumentation that can be used to manage the device and security (i.e. SIEM) and integrate with underlying network technologies and operators. Further, it should work with a Software Defined Network (SDN) to provide secure, in-region routing and auditability to enable security and compliance leveraging blockchain or similar technologies.
This could be extremely beneficial for new use cases such as the emerging carbon exchange market which has experienced a high rate of fraud in the carbon credit markets. To counter this an EV charger, or other device that wants to participate in carbon exchanges, will need to ensure that data generated from a device is fully auditable, accurate and has not been tampered with in transit from the device to the exchange. This will require a combination of full-stack security on the device, complete device-to-cloud encryption with secure routing, and blockchain or similar technologies to ensure integrity and auditability.
https://www.eseye.com/resources/news/the-rise-of-the-intelligent-iot-edge-in-2024/
cosors
👀
Interesting description:
Podcasts
20 July 2021
Dr. Satyam Priyadarshy (28:35):
Yeah, so artificial intelligence by itself as a subject has been there for 50 plus years. And if you look at even the applications of algorithms that are developed, it has been used by oil and gas industry for last 45 years whether it’s neural network, whether it is regression, all right? It doesn’t matter which algorithm you’re talking about. The world changed on the technology side and the compute side and artificial intelligence is just a subject. It’s like my analogy that I always explain. We never say that we are eating chemistry or we are wearing chemistry, where our clothes are made out of chemicals. Food is made out of chemicals. There’s some chemistry going on, right? Application of chemistry that we’re talking about. So in the same way, it’s an application of artificial intelligence whether it’s related to audio, whether it’s related to video, whether it’s related to data, whether it’s related to text. That is what you’re talking so there’s no box called artificial intelligence.
_______________
29 January 2021
"...
One of Eseye’s customers is already using rich data to predict diseases before they happen. A leading digital therapeutics provider, manufactures and sells a next-generation clinical-grade wearable, which delivers actionable insights powered by machine learning, deep neural networks and AI on real-time disease trajectory. This helps clinicians predict and prevent serious medical events. For example, chronic diseases, like heart failure, can lead to billions of pounds of unnecessary hospitalisations and re-admissions. Therefore, the potential benefits across the healthcare sector* if this model becomes widely adopted are enormous.
Another example is how IoT is helping vulnerable people remain independent through condition monitoring, whereby such devices use personal health data combined with behavioural patterns and analytics predict when changes in care regimes might be required. These are just two examples of millions of potential applications.
..."
*
Podcasts
20 July 2021
Dr. Satyam Priyadarshy (28:35):
Yeah, so artificial intelligence by itself as a subject has been there for 50 plus years. And if you look at even the applications of algorithms that are developed, it has been used by oil and gas industry for last 45 years whether it’s neural network, whether it is regression, all right? It doesn’t matter which algorithm you’re talking about. The world changed on the technology side and the compute side and artificial intelligence is just a subject. It’s like my analogy that I always explain. We never say that we are eating chemistry or we are wearing chemistry, where our clothes are made out of chemicals. Food is made out of chemicals. There’s some chemistry going on, right? Application of chemistry that we’re talking about. So in the same way, it’s an application of artificial intelligence whether it’s related to audio, whether it’s related to video, whether it’s related to data, whether it’s related to text. That is what you’re talking so there’s no box called artificial intelligence.
_______________
29 January 2021
"...
One of Eseye’s customers is already using rich data to predict diseases before they happen. A leading digital therapeutics provider, manufactures and sells a next-generation clinical-grade wearable, which delivers actionable insights powered by machine learning, deep neural networks and AI on real-time disease trajectory. This helps clinicians predict and prevent serious medical events. For example, chronic diseases, like heart failure, can lead to billions of pounds of unnecessary hospitalisations and re-admissions. Therefore, the potential benefits across the healthcare sector* if this model becomes widely adopted are enormous.
Another example is how IoT is helping vulnerable people remain independent through condition monitoring, whereby such devices use personal health data combined with behavioural patterns and analytics predict when changes in care regimes might be required. These are just two examples of millions of potential applications.
..."
*
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DingoBorat
Slim
Perhaps one of the fruits from Hardware Pioneers MAX24, will be a partnership with Eseye?
In turn, opening up the door to all their partners?..
I think it's basically on the cards.
cosors
👀
Interesting hint. Maybe Akida is not only in the black Ai box but also in the actual main product of ANT61 or will be?
Turning bricks back into working satellites
ANT61 Beacon
12% of satellites never turn on in orbit effectively becoming a brick in orbit right after launch, occupying important orbits for generations, hindering space exploration and development, colliding with other satellites and creating more orbital debris. The Ant61 Beacon performs satellite health...
www.ant61.com
latest news:
"Our Beacon S reveal event at the AusSpace24 was a blast!
Thank you very much to everyone who joined us in celebrating this milestone.
Big thanks to Investment NSW for featuring the Beacon at their stand at the prime location for this important industry event and their unwavering support for ANT61 in our mission to make space infrastructure more sustainable and profitable for everyone.
It was great to catch up with our friends from Inovor Technologies Fleet Space Technologies Space Machines Company ARC Training Centre for CubeSats, UAVs, and their Applications (CUAVA) Australian Centre for Space Engineering Research (ACSER), UNSW Sydney Akula Tech and discuss how Beacon can help ensure the success of their next LEO deployment.
You can learn more about the Beacon here"
https://ant61.com/beacon
or:
12/05/2024
"Yesterday we have shipped our Beacon for integration with a de-orbiting solution overseas.
If all goes well, we’ll demonstrate not only in-orbit failure recovery but also guaranteed de-orbiting for our customers’ satellites.
Worried about your next launch?
Find out more about how Beacon could save your mission here"
https://ant61.com/beacon
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wilzy123
Founding Member
You know what has no value ... you specialise in it. Very difficult for me to imagine how much pain you must be in to choose to live your life the way you do.
Honestly sounds miserable. But hey, I am very confident that you've managed to carve out of portion of that misery and managed to shape it into something you consider acceptable and tolerable. I'm pleased that you are coping.
Please keep telling yourself the stories you need to hear to remain stable.
MadMayHam | 合氣道
Regular
Arm expects 100 billion Arm devices will be ready for AI by end of 2025 — Reuters
British chip designer Arm Holdings (O9Ty.F) expects 100 billion Arm devices worldwide will be ready for artificial intelligence by the end of next year, the company's chief executive, Rene Haas, said on Monday at the Computex forum in Taipei.
1% of a lot = a lot
Not hardware though. No way 100b arm chips are going to be made + installed +sold between now and end 2025 (1.5 years).
Last edited:
Luppo71
Founding Member
Prophesee collaborates with AMD to deliver industry-first Event-based Vision solution running on FPGA-based AMD Kria™ KV260 Vision AI Starter Kit
Developers can now take full advantage of Prophesee Event-based Metavision® sensor and AI performance, power, and speed to create the next generation of Edge AI machine vision applications running on AMD platforms. BUY NOW Our Event-based Metavision HD sensor and AI are now available for use with th
Thoughts?
Apologies if posted already.
Didn't see early may post on twitter.
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Pom down under
Top 20
Think everyone is getting bored of waiting for a price sensitive announcement
We going everywhere, not just the edge. You heard it. Coupla years.
Are you still hesitating to top up or buy in? Waiting for revenue?
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