BRN Discussion Ongoing
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Picked up a mention of BRN in a video / transcript from a few days ago.
Details below and vid link end of post if felt like watching but is about an hour long.
So to make it easier, snip of the transcript where we get a brief....but pertinent mention. Nice to see these industry guys aware and possible use cases
Now....where have I heard of traffic lights / cameras
Panel of Tech Analysts, Research CTO's discussing...
Power Panel: Does Hardware Still Matter.
Panel:
Bob O'Donnell is president and chief analyst at TECHnalysis Research.
Zeus Kerravala is the founder and principal analyst at ZK Research. David Nicholson is a CTO and tech expert. Keith Townson is CEO and founder of CTO Advisor. And Marc Staimer is the chief dragon slayer at Dragon Slayer Consulting and oftentimes a Wikibon contributor. Guys, welcome to theCUBE.
From about the 42 min mark discussing edge:
>> Right. Marc, I wanted to go to you. You had indicated to me that you wanted to chat about this a little bit. You've written quite a bit about the integration of hardware and software. You know, we've watched Oracle's move from, you know, buying Sun and then basically using that in a highly differentiated approach. Engineered systems. What's your take on all that? I know you also have some thoughts on the shift from CapEx to OPEX chime in on that.
>> Sure. When you look at it, there are advantages to having one vendor who has the software and hardware. They can synergistically make them work together that you can't do in a commodity basis. If you own the software and somebody else has the hardware, I'll give you an example would be Oracle. As you talked about with their exit data platform, they literally are leveraging microcode in the Intel chips. And now in AMD chips and all the way down to Optane, they make basically AMD
database servers work with Optane memory PMM in their storage systems, not MVME, SSD PMM. I'm talking about the cards itself. So there are advantages you can take advantage of if you own the stack, as you were putting out earlier, Dave, of both the software and the hardware.
Okay, that's great. But on the other side of that, that tends to give you better performance, but it tends to cost a little more. On the commodity side it costs less but you get less performance. What Zeus had said earlier, it depends where
you're running your application. How much performance do you need? What kind of performance do you need? One of the things about moving to the edge and I'll get to the OPEX CapEx in a second.
One of the issues about moving to the edge is what kind of processing do you need? If you're running in a CCTV camera on top of a traffic light, how much power do you have? How much cooling do you have that you can run this? And more importantly, do you have to take the data you're getting and move it somewhere else and get processed and the information is sent back? I mean, there are companies out there like Brain Chip that have developed AI chips that can run on the sensor without a CPU.
Without any additional memory. So, I mean, there's innovation going on to deal with this question of data movement.
video.cube365.net
Details below and vid link end of post if felt like watching but is about an hour long.
So to make it easier, snip of the transcript where we get a brief....but pertinent mention. Nice to see these industry guys aware and possible use cases
Now....where have I heard of traffic lights / cameras
Panel of Tech Analysts, Research CTO's discussing...
Power Panel: Does Hardware Still Matter.
Panel:
Bob O'Donnell is president and chief analyst at TECHnalysis Research.
Zeus Kerravala is the founder and principal analyst at ZK Research. David Nicholson is a CTO and tech expert. Keith Townson is CEO and founder of CTO Advisor. And Marc Staimer is the chief dragon slayer at Dragon Slayer Consulting and oftentimes a Wikibon contributor. Guys, welcome to theCUBE.
From about the 42 min mark discussing edge:
>> Right. Marc, I wanted to go to you. You had indicated to me that you wanted to chat about this a little bit. You've written quite a bit about the integration of hardware and software. You know, we've watched Oracle's move from, you know, buying Sun and then basically using that in a highly differentiated approach. Engineered systems. What's your take on all that? I know you also have some thoughts on the shift from CapEx to OPEX chime in on that.
>> Sure. When you look at it, there are advantages to having one vendor who has the software and hardware. They can synergistically make them work together that you can't do in a commodity basis. If you own the software and somebody else has the hardware, I'll give you an example would be Oracle. As you talked about with their exit data platform, they literally are leveraging microcode in the Intel chips. And now in AMD chips and all the way down to Optane, they make basically AMD
database servers work with Optane memory PMM in their storage systems, not MVME, SSD PMM. I'm talking about the cards itself. So there are advantages you can take advantage of if you own the stack, as you were putting out earlier, Dave, of both the software and the hardware.
Okay, that's great. But on the other side of that, that tends to give you better performance, but it tends to cost a little more. On the commodity side it costs less but you get less performance. What Zeus had said earlier, it depends where
you're running your application. How much performance do you need? What kind of performance do you need? One of the things about moving to the edge and I'll get to the OPEX CapEx in a second.
One of the issues about moving to the edge is what kind of processing do you need? If you're running in a CCTV camera on top of a traffic light, how much power do you have? How much cooling do you have that you can run this? And more importantly, do you have to take the data you're getting and move it somewhere else and get processed and the information is sent back? I mean, there are companies out there like Brain Chip that have developed AI chips that can run on the sensor without a CPU.
Without any additional memory. So, I mean, there's innovation going on to deal with this question of data movement.
Bob O'Donnell of TECHnalysis Research examines the continuing application of Moore's Law.
Bob O'Donnell of TECHnalysis Research examines the continuing application of Moore's Law. – Power Panel: Does Hardware Still Matter
video.cube365.net
Over 100 million of these consoles have been sold (so far). Not sure when the next version of the console will be out. Maybe next year?
Be right back. Loading up on some more shares.
D
Deleted member 118
Guest
A few more interesting reads regarding the i pro
i-am.i-pro.net
i-am.i-pro.net
i-am.i-pro.net
Technology Trends in 2022 Where i-PRO Looks Ahead
What is a technology trend? We think perhaps it is all about thoughts on what technologies will be realized in our future and enrich the world. We at i-PRO looked at five technology trends in 2022.
How AI Is Changing the Future of Network Cameras
Attention has recently been focused on AI as the key technology in a variety of fields. Network cameras are no exception. With AI, the accuracy of data analysis has improved exponentially. But the technology has raised several issues. Through advancements in Edge AI, i-PRO has been engaging in...
5 Ways i-PRO Is Forging Ahead in 2021
We i-PRO look at the developments in 2021 that will shape the company’s future.
Apple's never-ending electric car project lands a former Ford safety head
The Apple Car project has reportedly hired a former Ford safety expert to help get the electric vehicle onto the road.
www.imore.com
Techinvestor17
Regular
These muppets still think autonomous computing should be in the cloud.
L’IA suisse de Nviso rend empathique un robot compagnon de Panasonic
Les algorithmes de deep learning de Nviso, spin-off de l’EPFL, sont embarqués dans le robot compagnon Nicobo de Panasonic, dans le cadre d’un accord de licence pluriannuel.
Translation:
An EPFL spin-off specializing in the recognition of facial expressions for the analysis of emotions, Nviso announces that it has signed a multi-year license agreement with Panasonic. In this context, the Human Behavioral Analytics AI software solution will equip the Nicobo companion robot from the Japanese manufacturer.
Based on deep learning, the applications provided to Panasonic by Nviso take care, in real time, of face tracking, identification of the position of the head, but also facial recognition and emotions. These artificial intelligence applications are specially designed for hardware platforms within companion robots that must be limited in resources (battery consumption). These can thus operate permanently without an internet connection, underlines Nviso in its press release. The French-speaking company adds that unlike cloud solutions, its own does not require information to be sent off the device to be processed, which helps protect user privacy and security.
“Over the past two years, we have worked with the development team at Panasonic to realize a vision to help people live healthier and happier lives at home through smart, caring devices. Our engineering team delivered an excellent visual intelligence solution to meet the demanding power, cost, and performance needs of high-volume mass processing platforms demanded by manufacturers like Panasonic,” says Tim Llewellynn, CEO of Nviso.
D
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1st Flexi logic, then Quantum Ventura Inc and now Nviso. Shareman are you going to reveal yourself.L’IA suisse de Nviso rend empathique un robot compagnon de Panasonic
Les algorithmes de deep learning de Nviso, spin-off de l’EPFL, sont embarqués dans le robot compagnon Nicobo de Panasonic, dans le cadre d’un accord de licence pluriannuel.www.ictjournal.ch
Translation:
An EPFL spin-off specializing in the recognition of facial expressions for the analysis of emotions, Nviso announces that it has signed a multi-year license agreement with Panasonic. In this context, the Human Behavioral Analytics AI software solution will equip the Nicobo companion robot from the Japanese manufacturer.
Based on deep learning, the applications provided to Panasonic by Nviso take care, in real time, of face tracking, identification of the position of the head, but also facial recognition and emotions. These artificial intelligence applications are specially designed for hardware platforms within companion robots that must be limited in resources (battery consumption). These can thus operate permanently without an internet connection, underlines Nviso in its press release. The French-speaking company adds that unlike cloud solutions, its own does not require information to be sent off the device to be processed, which helps protect user privacy and security.
“Over the past two years, we have worked with the development team at Panasonic to realize a vision to help people live healthier and happier lives at home through smart, caring devices. Our engineering team delivered an excellent visual intelligence solution to meet the demanding power, cost, and performance needs of high-volume mass processing platforms demanded by manufacturers like Panasonic,” says Tim Llewellynn, CEO of Nviso.
Fact Finder
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NEWS
Emotion analysis
Nviso's Swiss AI makes Panasonic's companion robot empathetic
Fri 29.04.2022 - 09:10
By Yannick Chavanne
Nviso's deep learning algorithms, EPFL's spin-off, are embedded in Panasonic's Nicobo companion robot, as part of a multi-year license agreement.
Panasonic's Nicobo companion robot has real-time facial and emotional recognition capabilities, thanks to the solutions of the Swiss firm Nviso. (Source: Panasonic)
A spin-off of EPFL specialising in the recognition of facial expressions for emotion analysis, Nviso announces that it has signed a multi-year license agreement with Panasonic. In this context, the Human Behavioural Analytics AI software solution will equip the Nicobo companion robot from the Japanese manufacturer.
Based on deep learning, the applications provided to Panasonic by Nviso take care of, in real time, facial tracking, identification of the head position, but also facial and emotion recognition. These artificial intelligence applications are specially designed for hardware platforms within companion robots that need to be limited in resources (battery consumption). These can thus operate permanently without an internet connection, Nviso emphasises in his statement. The French-speaking company adds that unlike cloud solutions, its own do not require information to be sent off the device for processing, which protects the user's privacy and security.
"Over the past two years, we have worked with Panasonic's development team to realise a vision to help people live at home healthier and happier through smart and empathetic devices. Our team of engineers has provided an excellent visual intelligence solution to meet the demanding power, cost and performance needs of high-volume mass processing platforms required by manufacturers like Panasonic," says Tim Llewellynn, CEO of Nviso”
KEN the robot finally has a sensitive dog companion.
How nice is that?
ROB TELSON WILL BE PLEASED.
My opinion only DYOR
FF
AKIDA BALLISTA
Wags
Regular
KEN the robot finally has a sensitive dog companion.
How nice is that?
ROB TELSON WILL BE PLEASED.
Boom !!!!!!!!!
Fact Finder
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Hi @Rocket577
My list has increased by one to twenty two:
Mercedes Benz
Valeo
NASA
DARPA
Vorago
Renesas
MegaChips
Sanyo
Nintendo
Ford
Socionext
Biotome
Nanose
ISL
Intellisense
Tata
Nvidia
DELL Technologies
SiFive
Nviso
Honda
Panasonic
My opinion only DYOR
FF
AKIDA BALLISTA
Bravo
If ARM was an arm, BRN would be its biceps💪!
Sorry if this has been posted.
Anil is presenting at the IESA (India Electronics Semiconductor Association) AI Summit on the 11-12th of May.
Nice list of speakers!
Anil is presenting at the IESA (India Electronics Semiconductor Association) AI Summit on the 11-12th of May.
Nice list of speakers!
Fact Finder
Top 20
It is important to read the above article together with the press release about the Nviso Brainchip partnership and note the statement of past fact not future fact with regards to whether the two technologies are compatible. Nviso and Brainchip have clearly been working together for some time.
EAP customers were first being announced by Brainchip about 2 years ago now. Nviso has been working with Panasonic for two years:
19th April, 2022
Lausanne, Switzerland & Laguna Hills, Calif. – April 19, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP and chips, and NVISO SA (NVISO), the leading human behavioral analytics AI company, today announced a collaboration targeting battery-powered applications in robotics and mobility/automotive to address the need for high levels of AI performance with ultra-low power technologies. The initial effort will include implementing NVISO’s AI solutions for Social Robots and In-cabin Monitoring Systems on BrainChip’s Akida™ processors.Developers of automotive and consumer technologies are striving for devices that better respond to human behavior—which requires tools and applications to interpret human behavior captured from cameras and sensors on devices. However, these environments can be constrained by limited compute performance, power consumption, and cloud connectivity lapses. Akida addresses these weaknesses with high performance and ultra-low power (micro- to milliwatts) as well as by performing AI/ML processing of vision/image, motion, and sound data directly on devices, instead of in a remote cloud. Since information is not sent off-device, user privacy and security are also protected.
NVISO’s technology is uniquely able to analyze signals of human behavior such as facial expressions, emotions, identity, head poses, gaze, gestures, activities, and objects with which users interact. In robotics and in-vehicle applications, human behavior analytics detect the user’s emotional state to provide personalized, adaptive, interactive, safe devices and systems. The result of the collaboration between NVISO and BrainChip is expected to enable more advanced, more capable, and more accurate AI on consumer products.
“Our work with BrainChip will support AI’s demanding power/cost/performance needs for OEMs, even at mass production and scale, so they can benefit from faster and more efficient development cycles,” said Tim Llewellynn, CEO of NVISO. “Ultra-low power edge-based consumer processing is expected to deliver a more intelligent and individualized user experience, and we believe running our AI solutions for Social Robots and In-cabin Monitoring Systems on Akida will provide a competitive edge for joint customers demanding always-on features on low power budgets.”
“NVISO’s human behavioral analytics AI systems offer fascinating possibilities in homes, cars, buildings, hospitals, and more, and we’re enthusiastic about supporting these functions with BrainChip’s processing performance and energy efficiency,” said Sean Hehir, BrainChip CEO. “This is not only a collaboration between two companies, it’s advancing the state of the art in AI with platforms for edge AI devices to interpret human behavior, improving product performance and user experience.”
BrainChip’s first-to-market neuromorphic processor, Akida, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping AI/ML local to the chip, independent of the cloud, also dramatically reduces latency while improving privacy and data security.”
My opinion only DYOR
FF
AKIDA BALLISTA
Introducing NICOBO - Panasonic's Smart but Vulnerable Companion | Appliances | Products & Solutions | Panasonic Stories
Archive of Panasonic Feature Stories: Enjoy a series of featured topics of Panasonic including its CSR activities, SNS initiatives and more.
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