BRN Discussion Ongoing
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Rise from the ashes
Regular
He literally wrote "Because Germans are more sensible investors"
Basically in response to why the share price was up in Germany.
I know disgusting right?
@Foxdog you despicable despicable excuse for a human being.
Rise from the ashes
Regular
Here is a good explanation
Urban Dictionary: Pissel
This is an ancient word dating back to... blimey, must be 1981! Anyway, enough reminiscing! I believe the meaning to be the crossing of wee strains that go all over the toilet edge, or seat if you didn't put it up. This was until recently limited to men, but I have discovered, much to the horror...
Rise from the ashes
Regular
I don't care if it's not brainchip technology that gets in first for the standard of in car monitoring I just wish they would mandate this new standard ASAP.
I'm greatly saddened whenever I read these articles.
7news.com.au
I'm greatly saddened whenever I read these articles.
Tragic final hours of boy found dead in hot car revealed
The three-year-old was unable to be revived after being discovered in the car by his father.
7news.com.au
cassip
Regular
BMW, art and AI
Excerpt:
„It’s precisely the way AI assembles this bigger picture from the existing data sets that mirrors how our brains work,” explained Shipley. “For the project we worked with artificial neural networks. They are modeled on the structure of the human brain and are good at finding patterns in a data set. With each training iteration, the weights of the neural network are adjusted so that the network produces results that are increasingly more accurate and better. The information processing categorizes the input data, classifies it and creates a pattern from it. This gives AI a deep multifaceted model that combines all the information and character traits of the data sets.”
www.bmw.com
Excerpt:
„It’s precisely the way AI assembles this bigger picture from the existing data sets that mirrors how our brains work,” explained Shipley. “For the project we worked with artificial neural networks. They are modeled on the structure of the human brain and are good at finding patterns in a data set. With each training iteration, the weights of the neural network are adjusted so that the network produces results that are increasingly more accurate and better. The information processing categorizes the input data, classifies it and creates a pattern from it. This gives AI a deep multifaceted model that combines all the information and character traits of the data sets.”
Creativity meets AI: BMW 8 turned into a work of art using artificial intelligence | BMW.com
Together with AI artists and creative technologist Nathan Shipley, artificial intelligence transforms the BMW 8 series Gran Coupe into a projection screen for art. The making of a unique digital experience.
alwaysgreen
Top 20
Rise from the ashes
Regular
Anyone know why that guy sold his brn shares or is he more of a pumper/trader using his vids when he holds?He forgot Brainchip.
Last edited:
Makeme 2020
Regular
Renesas Demonstration of Its MPU RZ/V Series With an Embedded AI Accelerator and Avnet’s RZ/V2L SBC
Avnet, Edge Impulse, Processors, Renesas, Software, Tools / February 2, 2023
Dirk Seidel, Strategic Business Development Manager at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products at the December 2022 Edge AI and Vision Innovation Forum. Specifically, Seidel demonstrates the company’s MPU RZ/V series solutions, along with partner (and fellow Alliance Member) Avnet’s RZ/V2L single-board computer (SBC).
The RZ/V series includes a power-efficient AI accelerator, the DRP-AI. The entry-class RZ/V2L device delivers low power and high performance when running fellow Alliance Member company Edge Impulse’s FOMO object detection model on the Renesas EVK, as well as when running a multiple-person pose estimation model on the Avnet RZ/V2L (a SBC in the Raspberry Pi form factor), all without need of a fan or heat sink. Seidel also demonstrates the newly-released TVM development tool for the DRP-AI, running the DeepPose facial landmark model.
Makeme 2020
Regular
alwaysgreen
Top 20
From memory he said he'd buy back in to BRN once they started gaining some traction in the market.
Makeme 2020
Regular
SHORT ARTICLE ON THE USE OF SMARTPHONES USING AI TO HELP ANALYZE AND COLLECT IMAGES IN MEDICAL APPLICATIONS
IN 2023, RADIOLOGISTS in hospitals around the world will increasingly use medical images—which include x-rays and CT, MRI, and PET scans—that have been first read and evaluated by AI machines. Gastroenterologists will also be relying on machine vision during colonoscopies and endoscopies to pick up polyps that would otherwise be missed. This progress has been made possible by the extensive validation of “machine eyes”—deep neural networks trained with hundreds of thousands of images that can accurately pick up things human experts can’t.
READ MORE
This story is from the WIRED World in 2023, our annual trends briefing. Read more stories from the series here—or download or order a copy of the magazine.
One of the most exciting new capabilities of AI is to instruct untrained and uninitiated people to acquire medical-grade images through a smartphone. Someone without any medical knowledge will be able to pop an ultrasound transducer into a smartphone’s base and, with a little gel on its tip, instantly acquire high-quality images. The AI algorithm instructs the person to move the transducer up or down, clock- or counterclockwise, and it will automatically capture the image when it meets the objective standard. This will extend the ability to perform medical imaging of most parts of the body (except the brain), anywhere, anytime, and by anyone. Concurrently, algorithms are also being developed for automated accurate interpretations. In 2023, we will see more of this in remote parts of the world, perhaps best exemplifying the potential for AI to reduce health inequities.
The same deep-learning democratization is progressively taking hold for patients as well, who can already be notified by their smartwatch’s algorithm that they have an abnormal heart rhythm (such as atrial fibrillation). In 2023, this will extend to preliminary diagnosis of all skin lesions, urinary tract infections, children’s ear infections, and an increasing number of common conditions that are not life-threatening.
These are the early steps towards a virtual health coach to ideally prevent conditions that a person is at increased risk for manifesting, which in 2023 will be used for managing specific conditions such as diabetes, hypertension, or even depression, with the help of chatbots and human coaches in the background when necessary.
In 2023, clinicians will also be aided by AI in their daily tasks—particularly by being liberated from the job of painstakingly typing medical data into the computer. This burden not only contributes to burnout among physicians, but markedly detracts from the patient interactions. Natural language processing and machine learning now enable synthetic notes to be created automatically from the conversation between doctors and patients at the visit or bedside.
We have seen the beginning of use of AI for remote monitoring, which is already preempting the need for hospitalization for patients with Covid-19 by real-time data capture from wearable sensors. That will only increase in 2023. We still need more validation trials to show that algorithms can accurately anticipate early signs of clinical deterioration and intervene, but the implication for avoiding a large proportion of hospital stays looms large.
Nevertheless, there remains a dire need to reduce bias and promote privacy and security in the application of medical AI. Privacy AI computing is starting to take off with the use of federated and swarm learning, as well as with the increasing application of edge computing, which uses algorithms fully operating on the smartphone. In 2023, these strategies will be explored more fully, in a much-needed effort to not only fully investigate the potential for AI in health and medicine but also to address its potential flaws and pitfalls.
Doctors, Get Ready for Your AI Assistants
Hospitals have begun using machine learning to help analyze and collect images, and the medical applications are endless.- https://www.facebook.com/dialog/fee...-share&utm_brand=wired&utm_social-type=earned
- https://twitter.com/intent/tweet/?u...s, Get Ready for Your AI Assistants&via=wired
- https://www.wired.com/story/doctors-artificial-intelligence-medicine/#
IN 2023, RADIOLOGISTS in hospitals around the world will increasingly use medical images—which include x-rays and CT, MRI, and PET scans—that have been first read and evaluated by AI machines. Gastroenterologists will also be relying on machine vision during colonoscopies and endoscopies to pick up polyps that would otherwise be missed. This progress has been made possible by the extensive validation of “machine eyes”—deep neural networks trained with hundreds of thousands of images that can accurately pick up things human experts can’t.
READ MORE
This story is from the WIRED World in 2023, our annual trends briefing. Read more stories from the series here—or download or order a copy of the magazine.
One of the most exciting new capabilities of AI is to instruct untrained and uninitiated people to acquire medical-grade images through a smartphone. Someone without any medical knowledge will be able to pop an ultrasound transducer into a smartphone’s base and, with a little gel on its tip, instantly acquire high-quality images. The AI algorithm instructs the person to move the transducer up or down, clock- or counterclockwise, and it will automatically capture the image when it meets the objective standard. This will extend the ability to perform medical imaging of most parts of the body (except the brain), anywhere, anytime, and by anyone. Concurrently, algorithms are also being developed for automated accurate interpretations. In 2023, we will see more of this in remote parts of the world, perhaps best exemplifying the potential for AI to reduce health inequities.
The same deep-learning democratization is progressively taking hold for patients as well, who can already be notified by their smartwatch’s algorithm that they have an abnormal heart rhythm (such as atrial fibrillation). In 2023, this will extend to preliminary diagnosis of all skin lesions, urinary tract infections, children’s ear infections, and an increasing number of common conditions that are not life-threatening.
These are the early steps towards a virtual health coach to ideally prevent conditions that a person is at increased risk for manifesting, which in 2023 will be used for managing specific conditions such as diabetes, hypertension, or even depression, with the help of chatbots and human coaches in the background when necessary.
In 2023, clinicians will also be aided by AI in their daily tasks—particularly by being liberated from the job of painstakingly typing medical data into the computer. This burden not only contributes to burnout among physicians, but markedly detracts from the patient interactions. Natural language processing and machine learning now enable synthetic notes to be created automatically from the conversation between doctors and patients at the visit or bedside.
We have seen the beginning of use of AI for remote monitoring, which is already preempting the need for hospitalization for patients with Covid-19 by real-time data capture from wearable sensors. That will only increase in 2023. We still need more validation trials to show that algorithms can accurately anticipate early signs of clinical deterioration and intervene, but the implication for avoiding a large proportion of hospital stays looms large.
Nevertheless, there remains a dire need to reduce bias and promote privacy and security in the application of medical AI. Privacy AI computing is starting to take off with the use of federated and swarm learning, as well as with the increasing application of edge computing, which uses algorithms fully operating on the smartphone. In 2023, these strategies will be explored more fully, in a much-needed effort to not only fully investigate the potential for AI in health and medicine but also to address its potential flaws and pitfalls.
Rskiff
Regular
He said in a video that he was simplifying his portfolio and selling BRN was nothing to do with the company but he had bought on OTC and the hassle with that trading platform and tax etc...... simplifying.....
Stable Genius
Regular
Another RT like. It’s obvious why!
Future looks great;
www.linkedin.com
Future looks great;
Mohd Amirrudin Esa on LinkedIn: #realtime #cloud #future #autonomous #decisions #data #private #secure… | 10 comments
'Edge Computer Vision. Edge AI. Machine Autonomy'. Imagine a future where machines not only UNDERSTAND the world around them, but can also ACT on that… | 10 comments on LinkedIn
Yes mate this is heartbreaking. Technology that turns on the aircon, an alarm or voice saying 'hey don't forget the kids' etc to prevent occupant deaths both human and pets is so necessary. I feel so sorry for the father as it appears this a was a horrible mistake.I don't care if it's not brainchip technology that gets in first for the standard of in car monitoring I just wish they would mandate this new standard ASAP.
I'm greatly saddened whenever I read these articles.
Tragic final hours of boy found dead in hot car revealed
The three-year-old was unable to be revived after being discovered in the car by his father.
I know I crap on about the SP a lot, but it's more important to get AKIDA tech into products to make the world a better place and to prevent these sorts of things from happening wherever possible.
M_C
Founding Member
Markus Schäfer on LinkedIn: #network #ambition2039 #sustainability #cofinityx #wearecatenax
Ten partners of the automotive industry are launching the first operating company for the Catena-X Automotive Network. Mercedes-Benz AG is shareholder in the…
BaconLover
Founding Member
Markus Schäfer on LinkedIn: #network #ambition2039 #sustainability #cofinityx #wearecatenax
Ten partners of the automotive industry are launching the first operating company for the Catena-X Automotive Network. Mercedes-Benz AG is shareholder in the…
Great partnerships developing. Let the Web 🕸 get bigger! Good one MC.
MDhere
Top 20
The thing i don't get is that Wbt was talking about taping out 22nm fdsoi back in Oct 22 and managed to produce a asx price sensitive notice on 3 jan with the heading weebit nano tapes out 1st 22nm demo chip and is price sensitive and sends the soaring. Is it at 5.74 overinflated, maybe but im not judging its price performance im simply showing one company can do a price sensitive "demo" chip on asx when the other can't?
Again it probably comes down to the high calibre of clients Brainchip has behind its drawn ironed curtain.
I get the whole non disclosure agreements with Brainchip clients and all but all i can say there must be massive Clients that want it all hush hush with Brainchip and then it will be put in the bag -in the financials. Im gathering will dividends to start flowing in as well as whopping thankyou shareholder bonus for all the non disclosure moments that could have been would have been and should have been. This is clearly a good sign when the Company acts like in my opinion and clearly a whooping shareholders bonus and out of this World announcements when they do come! Happy Saturday.
Just a tad excited today lol
Again it probably comes down to the high calibre of clients Brainchip has behind its drawn ironed curtain.
I get the whole non disclosure agreements with Brainchip clients and all but all i can say there must be massive Clients that want it all hush hush with Brainchip and then it will be put in the bag -in the financials. Im gathering will dividends to start flowing in as well as whopping thankyou shareholder bonus for all the non disclosure moments that could have been would have been and should have been. This is clearly a good sign when the Company acts like in my opinion and clearly a whooping shareholders bonus and out of this World announcements when they do come! Happy Saturday.
Just a tad excited today lol
alwaysgreen
Top 20
Weebit is not overinflated at $5.74. Still a lower market cap than BRN and as similar potential in my opinion. I'm grateful I invested quite heavily in them 2 years ago.
Weebit has ahead a magnificent run of late (from $2 a few months ago!). Hopefully BRN can announce some partnerships/licenses this quarter that have a similar affect on the BRN share price.
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