Back in the mid-90s, Australia was a leader in solar research. I went to a seminar with Howard's chief scientist and, instead of advocating for the support of such industries, he parroted the economic rationalist kant that government should not be in the business of picking winners. Shortly thereafter, the Australian technology was in production in China under the control of the then richest man in the world.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Infineon's Smart Alarm System Puts Machine Learning to Bear on Breaking Glass and Other Triggers
Offering a claimed five year runtime on battery alone, this edge AI pops a clever sensor fusion algorithm on a low-power SoC.www.hackster.io
"Infineon Technologies has launched what it claims to be the "industry's first" artificially intelligent acoustic event and sensor fusion alarm system to be driven wholly by battery power: the Smart Alarm System, or SAS.
"We are excited to enable a unique and differentiated approach to bringing AI/ML [Artificial Intelligence/Machine Learning] capabilities to cost-sensitive, battery-powered home security sensor systems, without sacrificing battery life," says Infineon's Laurent Remont of the launch.
"Current home security solutions are unreliable for detecting events such as glass break[ing]," Remont continues. "Our new solution combines a number of best-in-class technologies to create an alarm system that is smart, reliable and power efficient. We look forward to bringing more innovative solutions into the home security market."
The alarm system is built around Infineon's PSoC 62 "Performance Line" system-on-chip, which offers two Arm Cortex-M4 cores and an Arm Cortex-M0+ core — enough power to run an on-device machine learning algorithm that can differentiate between alarm-triggering events and the normal sounds of a home or office, yet to do so efficiently enough to allow the system to run entirely on battery for up to five years.
Elsewhere on the board is an XENSIV MEMS microphone and a digital pressure sensor, with data from both being fed into the on-board ML algorithm to avoid false positives triggering the alarm unnecessarily. In addition to triggering on the sound of breaking glass, indicating an intruder has broken a window to gain entry, the alarm system can also send out alerts when less-smart audible devices like smoke or carbon monoxide alarms have triggered.
A reference design incorporating all these features is available to Infineon customers now, with a physical board shipping in September this year. The company has also partnered with Flex to offer the same capabilities in a system-in-package (SIP) format. Additional information is available on the official product page."
Interesting...
Sounds like a great trip.
https://www.bing.com/videos/search?...F49C9ED11F516C38E623F49C9ED11F51&&FORM=VDRVRV
cosors
👀
I saw that too. I became aware because they also use the Arm Cortex-M4 like we do for our PCI board. Then the statement that the battery lasts for years and "machine learning Tiny AI algorithms".Infineon's Smart Alarm System Puts Machine Learning to Bear on Breaking Glass and Other Triggers
Offering a claimed five year runtime on battery alone, this edge AI pops a clever sensor fusion algorithm on a low-power SoC.www.hackster.io
"Infineon Technologies has launched what it claims to be the "industry's first" artificially intelligent acoustic event and sensor fusion alarm system to be driven wholly by battery power: the Smart Alarm System, or SAS.
"We are excited to enable a unique and differentiated approach to bringing AI/ML [Artificial Intelligence/Machine Learning] capabilities to cost-sensitive, battery-powered home security sensor systems, without sacrificing battery life," says Infineon's Laurent Remont of the launch.
"Current home security solutions are unreliable for detecting events such as glass break[ing]," Remont continues. "Our new solution combines a number of best-in-class technologies to create an alarm system that is smart, reliable and power efficient. We look forward to bringing more innovative solutions into the home security market."
The alarm system is built around Infineon's PSoC 62 "Performance Line" system-on-chip, which offers two Arm Cortex-M4 cores and an Arm Cortex-M0+ core — enough power to run an on-device machine learning algorithm that can differentiate between alarm-triggering events and the normal sounds of a home or office, yet to do so efficiently enough to allow the system to run entirely on battery for up to five years.
Elsewhere on the board is an XENSIV MEMS microphone and a digital pressure sensor, with data from both being fed into the on-board ML algorithm to avoid false positives triggering the alarm unnecessarily. In addition to triggering on the sound of breaking glass, indicating an intruder has broken a window to gain entry, the alarm system can also send out alerts when less-smart audible devices like smoke or carbon monoxide alarms have triggered.
A reference design incorporating all these features is available to Infineon customers now, with a physical board shipping in September this year. The company has also partnered with Flex to offer the same capabilities in a system-in-package (SIP) format. Additional information is available on the official product page."
Interesting...
Is a board only with Arm Cortex-M4s capable of machine learning? Is there a way to see if our IP is in there or not? It should be available in Q3.
"The AI/ ML algorithm is capable of filtering out background noises, such as, baby crying or dog barking and other events that could generate a false positive." This could perhaps take place in their Acoustic Event Detector AED?
Maybe the 10000 eyes can look at this more closely.
https://www.infineon.com/cms/en/app...olutions/alarm-system/?redirId=197381#!boards
This looks like Infineon's patent for the alarm system.
US2021224618A1 Classification System and Method for Classifying an External Impact on a Window or on an Access Opening of an Enclosed Structure
[0045] According to some embodiments the audio signal pre-processor comprises an audio signal filter configured for filtering the audio signal, and/or the pressure signal pre-processor comprises a pressure signal filter configured for filtering the pressure signal. Each of the filters may, for example, be implemented as a high pass filter or a noise filter. Such features further improve the classification accuracy.
...
[089] ... the classification processor 9 is configured for executing a first machine learning algorithm, wherein the audio feature and pressure feature vector APV is fed to an input layer of the first machine learning algorithm, and wherein the classification output CO is based on an output of the first machine learning algorithm.
[0123] The calculated pressure features and the trained audio features are then concatenated and fed to a feedforward neural network 13 followed by a softmax processor 14 that eventually delivers the classification probabilities.
Once again, we see that the NN is one that was prepared earlier. This patent does not describe any circuit details of a NN.
GStocks123
Regular
Few jobs at Merc 
Check out this job at Mercedes-Benz Research and Development India:
https://www.linkedin.com/jobs/view/3142350213
Check out this job at Mercedes-Benz Research and Development India:
https://www.linkedin.com/jobs/view/3142366324
Check out this job at Mercedes-Benz Research and Development India:
https://www.linkedin.com/jobs/view/3142350213
Check out this job at Mercedes-Benz Research and Development India:
https://www.linkedin.com/jobs/view/3142366324
Bravo
If ARM was an arm, BRN would be its biceps💪!
Quite possibly not fake. The lady obviously has no clue but the owner of the new Tesla looks to be driving on a fairly remote part of the country?
No electric charge stations anywhere. So, its makes perfect sense (to him)to carry a generator in case you run out. Only problem was he was too dumb to have it filled up.
I beg to differ. Everything these days is manufactured for “likes” on Tic Tok and such and this video is yet another example IMO. They were all acting (or attempting to at least). But whilst the acting wasn’t convincing, they definitely nailed the underlying human-stupidity factor!
Food4 thought
Regular
I think we can thank the last government slowMo and Co for that…
FabricatedLunacy
Regular
So does that mean the ARM chips will potentially come with Akida Integrated?
Proga
Regular
I think Aust has more roof solar per capita but doesn't have the massive solar farms. Why I always thought Aust was the perfect place for EV's but in the western world we're the worst in ownership.
Fullmoonfever
Top 20
Interesting read and puts some things in perspective that we all kinda know but...
www.forbes.com
Arm Lays Out Vision For Next Decade Of Chips
Bob O'Donnell
Contributor
I'm a tech industry market research analyst that writes about 5G, Edge Computing, AI, Cloud Computing, IoT, Smart Devices and more.
Follow
Mar 31, 2021,08:00am EDT
Trying to easily explain what semiconductor-related businesses actually do can be a very difficult task, even for well-known companies like Intel, AMD and Nvidia. However, when the company involved doesn’t build chips or design specific products, but instead creates a framework of standard instructions and semiconductor architectures (commonly referred to as IP, or intellectual property) that other companies license from them to generate their own chip designs—as is the case with Cambridge UK-based Arm—well, things get challenging.
The truth is, Arm and its critical set of processor designs (CPU, GPU and AI-focused NPU), as well as the Arm instruction sets powering them, are incredibly influential and their impact impressively far-reaching. In fact, at its recent virtual press event to launch its ninth generation (v9) chip design architectures, the company made the seemingly unbelievable claim that at some point this decade, 100% of the world’s data will be processed at some point along its virtual lifecycle—either at an endpoint device like a PC or smartphone, along a data network or in the cloud—by an Arm-based chip, and no one really batted an eye. The company’s reach and influence may not be well-known or understood, but it really is that pervasive.
As a result, news of the company’s latest v9 architectures is the kind of thing that’s going to have a profound impact on our increasingly digital and connected world. However, it’s also something that’s realistically going to be primarily behind the scenes, but it will make its presence felt slowly and surely over a long period of time. In fact, major generational changes to Arm’s designs have slowed to a once-a-decade type pace—not completely unlike the pace (and impact) of wireless cellular standards like 5G. And just as 5G has offered the promise of profound changes that aren’t all occurring at once but are expected to come to life over the next decade, so too will the impact of Arm’s v9 be extensive—but its pace and range of impact will take multiple years to be fully felt.
To be clear, Arm continues to innovate individual components of its IP, such as specific CPU and GPU designs for various classes of devices at regular annual cadences. The underlying architectural capabilities Arm has announced for v9, however, will be evolving over time. This includes things like its Confidential Compute Architecture (CCA), significant enhancements to instructions for processing AI and ML (machine learning)-based workloads, and the ability to combine Lego block-like chunks of processing technologies more easily for increasingly specialized applications through Arm’s Total Compute design methodology.
What’s particularly interesting about the new additions that Arm is bringing to v9 is that they reflect the important big picture developments currently influencing major tech industry trends. Topics such as hardware-based security, AI and ML acceleration across multiple different types of chips, and customized silicon are top of mind not only at major tech companies, but the widening range of companies increasingly influenced by tech, including automotive, consumer white goods, manufacturing and much, much more. In essence, with its v9 architecture, Arm is providing a roadmap for its partners to achieve these goals.
And quite a range of partners it is. In the past year, in particular, Arm-powered chips from the company’s licensees have made a huge and very visible impact on the tech marketplace. Apple, for example, made a huge splash by converting its Mac line to Arm-based processors with its new M1 chip—this after more than a decade of Arm-powered A series CPUs for the iPhone and iPad. In the cloud computing world, Amazon’s Graviton line of custom ARM-based processors have started taking on a huge range of workloads for the leading public cloud provider. In between, there have been 100 billion other Arm-powered chips over the past five years, and the company expects another 300 billion to ship during the next decade of v9-based architectures.
One particularly important addition to v9 is a significantly expanded range of security and data privacy-driven options. Given the incredible amounts of personal and sensitive corporate data that’s becoming available online, there’s been a widespread recognition of the limitations and complexity of current data and computing security solutions. As part of the previously mentioned Confidential Compute Architecture integrated into v9, Arm is building several different hardware-based enhancements that are designed to make the process of securing data easier and more robust, while at the same time offering new methods of doing processing on data that remains encrypted and/or isolated from other parts of the system.
The newly introduced concept of Realms, for example, offers a whole new hardware-based security model that brings the idea of zero trust to a brand-new level, shielding data from the local operating system and providing degrees of separation between software components that wasn’t possible before. Of course, some software is going to have to be adjusted or portions rewritten to take advantage of this new architecture, but the potential security enhancements of Realms are enormous. At the same time, the technology offers a number of new options that will take several years to fully leverage, so some of the most important benefits are still years away.
Arm is also integrating hardware enhancements that can help prevent some of the most exploited types of limitations, such as various types of memory leaks. In addition, the new Memory Tagging Extensions, or MTE, can also help against threats such as Spectre and Meltdown, which were big news just a few years back and continue to spawn new variants that are big concerns today.
Not all the benefits of Arm’s v9 vision will be achieved right away, although some of the first CPUs based on Arm v9 architectures are expected to ship before the end of this year, likely from big smartphone-focused semiconductor companies like MediaTek. Over time, though, the impact of the new developments will spread far and wide. As with Hollywood actor Kevin Bacon, who is famously known for his six degrees of separation, Arm is connected with essentially every major tech company and even many related industries by likely only three or at most four degrees. (This is a big part of the reason, of course, that Nvidia is so interested in acquiring Arm—a process that continues to develop.)
For those deeply embedded in or closely watching critical tech trends, the announcement of next generation chip architectures from Arm has long and far-reaching implications. Making sense of all the details and understanding the timing of when all these changes become real is a big task, but it seems clear that with its latest v9 architectures, Arm has once again set itself up as an essential tech industry influencer for many years to come.
Disclosure: TECHnalysis Research is a tech industry market research and consulting firm and, like all companies in that field, works with many technology vendors as clients, some of whom may be listed in this article.
Arm Lays Out Vision For Next Decade Of Chips
The little understood company that powers virtually every smartphone in the world and provided technology for 100 billion chips over the last few years debuted new chip designs that are expected to have far reaching impacts on data security, AI and ML processing and silicon customization.
www.forbes.com
Arm Lays Out Vision For Next Decade Of Chips
Bob O'Donnell
Contributor
I'm a tech industry market research analyst that writes about 5G, Edge Computing, AI, Cloud Computing, IoT, Smart Devices and more.
Follow
Mar 31, 2021,08:00am EDT
Trying to easily explain what semiconductor-related businesses actually do can be a very difficult task, even for well-known companies like Intel, AMD and Nvidia. However, when the company involved doesn’t build chips or design specific products, but instead creates a framework of standard instructions and semiconductor architectures (commonly referred to as IP, or intellectual property) that other companies license from them to generate their own chip designs—as is the case with Cambridge UK-based Arm—well, things get challenging.
The truth is, Arm and its critical set of processor designs (CPU, GPU and AI-focused NPU), as well as the Arm instruction sets powering them, are incredibly influential and their impact impressively far-reaching. In fact, at its recent virtual press event to launch its ninth generation (v9) chip design architectures, the company made the seemingly unbelievable claim that at some point this decade, 100% of the world’s data will be processed at some point along its virtual lifecycle—either at an endpoint device like a PC or smartphone, along a data network or in the cloud—by an Arm-based chip, and no one really batted an eye. The company’s reach and influence may not be well-known or understood, but it really is that pervasive.
As a result, news of the company’s latest v9 architectures is the kind of thing that’s going to have a profound impact on our increasingly digital and connected world. However, it’s also something that’s realistically going to be primarily behind the scenes, but it will make its presence felt slowly and surely over a long period of time. In fact, major generational changes to Arm’s designs have slowed to a once-a-decade type pace—not completely unlike the pace (and impact) of wireless cellular standards like 5G. And just as 5G has offered the promise of profound changes that aren’t all occurring at once but are expected to come to life over the next decade, so too will the impact of Arm’s v9 be extensive—but its pace and range of impact will take multiple years to be fully felt.
To be clear, Arm continues to innovate individual components of its IP, such as specific CPU and GPU designs for various classes of devices at regular annual cadences. The underlying architectural capabilities Arm has announced for v9, however, will be evolving over time. This includes things like its Confidential Compute Architecture (CCA), significant enhancements to instructions for processing AI and ML (machine learning)-based workloads, and the ability to combine Lego block-like chunks of processing technologies more easily for increasingly specialized applications through Arm’s Total Compute design methodology.
What’s particularly interesting about the new additions that Arm is bringing to v9 is that they reflect the important big picture developments currently influencing major tech industry trends. Topics such as hardware-based security, AI and ML acceleration across multiple different types of chips, and customized silicon are top of mind not only at major tech companies, but the widening range of companies increasingly influenced by tech, including automotive, consumer white goods, manufacturing and much, much more. In essence, with its v9 architecture, Arm is providing a roadmap for its partners to achieve these goals.
And quite a range of partners it is. In the past year, in particular, Arm-powered chips from the company’s licensees have made a huge and very visible impact on the tech marketplace. Apple, for example, made a huge splash by converting its Mac line to Arm-based processors with its new M1 chip—this after more than a decade of Arm-powered A series CPUs for the iPhone and iPad. In the cloud computing world, Amazon’s Graviton line of custom ARM-based processors have started taking on a huge range of workloads for the leading public cloud provider. In between, there have been 100 billion other Arm-powered chips over the past five years, and the company expects another 300 billion to ship during the next decade of v9-based architectures.
One particularly important addition to v9 is a significantly expanded range of security and data privacy-driven options. Given the incredible amounts of personal and sensitive corporate data that’s becoming available online, there’s been a widespread recognition of the limitations and complexity of current data and computing security solutions. As part of the previously mentioned Confidential Compute Architecture integrated into v9, Arm is building several different hardware-based enhancements that are designed to make the process of securing data easier and more robust, while at the same time offering new methods of doing processing on data that remains encrypted and/or isolated from other parts of the system.
The newly introduced concept of Realms, for example, offers a whole new hardware-based security model that brings the idea of zero trust to a brand-new level, shielding data from the local operating system and providing degrees of separation between software components that wasn’t possible before. Of course, some software is going to have to be adjusted or portions rewritten to take advantage of this new architecture, but the potential security enhancements of Realms are enormous. At the same time, the technology offers a number of new options that will take several years to fully leverage, so some of the most important benefits are still years away.
Arm is also integrating hardware enhancements that can help prevent some of the most exploited types of limitations, such as various types of memory leaks. In addition, the new Memory Tagging Extensions, or MTE, can also help against threats such as Spectre and Meltdown, which were big news just a few years back and continue to spawn new variants that are big concerns today.
Not all the benefits of Arm’s v9 vision will be achieved right away, although some of the first CPUs based on Arm v9 architectures are expected to ship before the end of this year, likely from big smartphone-focused semiconductor companies like MediaTek. Over time, though, the impact of the new developments will spread far and wide. As with Hollywood actor Kevin Bacon, who is famously known for his six degrees of separation, Arm is connected with essentially every major tech company and even many related industries by likely only three or at most four degrees. (This is a big part of the reason, of course, that Nvidia is so interested in acquiring Arm—a process that continues to develop.)
For those deeply embedded in or closely watching critical tech trends, the announcement of next generation chip architectures from Arm has long and far-reaching implications. Making sense of all the details and understanding the timing of when all these changes become real is a big task, but it seems clear that with its latest v9 architectures, Arm has once again set itself up as an essential tech industry influencer for many years to come.
Disclosure: TECHnalysis Research is a tech industry market research and consulting firm and, like all companies in that field, works with many technology vendors as clients, some of whom may be listed in this article.
Fullmoonfever
Top 20
Further to my other ARM post...more recent article on someone dabbling with ARM processors.
Won't paste whole article as bit longer but can read it...
Windows on Arm
Article
06/16/2022
6 minutes to read
2 contributors
In this article
Build Windows apps that run on Arm
Arm64EC - Build apps for Windows 11 on Arm
Support for existing Windows apps on Arm
Find tools for Arm development
Additional tips for developing Windows apps that run on Arm devices
Additional resources
External resources
Windows has traditionally run on machines that are powered by x86 / x64 processors, but more recently, also runs on devices powered by Arm processors.
Arm-powered devices are particularly interesting because the power-frugal nature of the Arm architecture enables these devices to offer longer battery life while delivering great performance. Arm Systems on Chip (SoC) often include other key features such as a powerful CPU, GPU, Wi-Fi & mobile data networks, as well as Neural Processor Units (NPUs) for accelerating AI workloads.
Build Windows apps that run on Arm
Windows 10 enables existing unmodified x86 apps to run on Arm devices. Windows 11 adds the ability to run unmodified x64 Windows apps on Arm devices! This ability to run x86 & x64 apps on Arm devices gives end-users confidence that the majority of their existing apps & tools will run well even on new Arm-powered devices.
For the best performance, responsiveness, and battery life, users will want and need Arm-native Windows apps, which means that developers will need to build or port Arm-native Windows apps.
Won't paste whole article as bit longer but can read it...
Windows on Arm documentation
Learn more about running Windows on PCs powered by Arm processors. Find guidance on how to build Windows apps for Arm64 devices or iteratively update your existing Windows app to take advantage of Arm64 native capabilities.
docs.microsoft.com
Windows on Arm
Article
06/16/2022
6 minutes to read
2 contributors
In this article
Build Windows apps that run on Arm
Arm64EC - Build apps for Windows 11 on Arm
Support for existing Windows apps on Arm
Find tools for Arm development
Additional tips for developing Windows apps that run on Arm devices
Additional resources
External resources
Windows has traditionally run on machines that are powered by x86 / x64 processors, but more recently, also runs on devices powered by Arm processors.
Arm-powered devices are particularly interesting because the power-frugal nature of the Arm architecture enables these devices to offer longer battery life while delivering great performance. Arm Systems on Chip (SoC) often include other key features such as a powerful CPU, GPU, Wi-Fi & mobile data networks, as well as Neural Processor Units (NPUs) for accelerating AI workloads.
Build Windows apps that run on Arm
Windows 10 enables existing unmodified x86 apps to run on Arm devices. Windows 11 adds the ability to run unmodified x64 Windows apps on Arm devices! This ability to run x86 & x64 apps on Arm devices gives end-users confidence that the majority of their existing apps & tools will run well even on new Arm-powered devices.
For the best performance, responsiveness, and battery life, users will want and need Arm-native Windows apps, which means that developers will need to build or port Arm-native Windows apps.
JoMo68
Regular
That tablecloth is spectacular!
Hallo aus Deutschland, was meint ihr:
www.tachyum.com
Prodigy: The World's First Universal Processor | Tachyum
Tachyum is enabling human brain-scale AI and advancing the entire world to a greener era, by delivering Tachyum Prodigy - The World’s First Universal Processor
EIN EINZELNER PROZESSOR
Tachyum ermöglicht KI im Maßstab des menschlichen Gehirns und bringt die ganze Welt in eine grünere Ära, indem es den weltweit ersten universellen Prozessor liefert.
D
Deleted member 118
Guest
Happy Friday everyone.
Sirod69
bavarian girl ;-)
Stellantis to use Valeo lidar for Level 3 self-driving cars from 2024
Stellantis' first generation of 'hands-free, eyes-off' self-driving cars will use Valeo's Scala lidar systems.
Sirod69
bavarian girl ;-)
Cannes Lions 2022: Decoding Pixel Party’s award-winning campaign
A wholly independent Indian content and experience company and one of the key partners behind the ‘The Unfiltered History Tour’ campaign Pixel Party has created history at the Cannes Lions: The International Festival of Creativity.
a found on my hart way to find everthing about Lidar
Tuliptrader
Regular
Awesome video clip Jesse
If the standardization mentioned is a reference to our technology it will be absolutely bonkers.
TT
butcherano
Regular
New podcast with Jerome out next week….
www.accesswire.com
BrainChip's 'This is our Mission' Podcast Deep Dives on Essential AI
LAGUNA HILLS, CA / ACCESSWIRE / June 30, 2022 / BrainChip Holdings Ltd (ASX:BRN) (OTCQX:BRCHF) (ADR:BCHPY), the world's first commercial producer of neuromorphic AI IP, today announced that Chief Marketing Officer, Jerome Nadel is the featured guest on the latest
www.accesswire.com
Similar threads
