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Maybe they came to an understanding with Tony Dawe. I know those close to Peter van der Made in the company were at least as outraged as 99.9% of us here.
FF
AKIDA BALLISTA
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
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AKIDA BALLISTA
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Here is another reason to adopt AKIDA at the endpoint as you do not give this prospective type of attack what it needs to feed off. Constant too and fro with the Cloud.
My opinion only DYOR
FF
AKIDA BALLISTA
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65WITH 49 POSTERS PARTICIPATING
Microprocessors from Intel, AMD, and other companies contain a newly discovered weakness that remote attackers can exploit to obtain cryptographic keys and other secret data traveling through the hardware, researchers said on Tuesday.
Hardware manufacturers have long known that hackers can extract secret cryptographic data from a chip by measuring the power it consumes while processing those values. Fortunately, the means for exploiting power-analysis attacks against microprocessors is limited because the threat actor has few viable ways to remotely measure power consumption while processing the secret material. Now, a team of researchers has figured out how to turn power-analysis attacks into a different class of side-channel exploit that's considerably less demanding.
The researchers have dubbed their attack Hertzbleed because it uses the insights into DVFS to expose—or bleed out—data that's expected to remain private. The vulnerability is tracked as CVE-2022-24436 for Intel chips and CVE-2022-23823 for AMD CPUs. The researchers have already shown how the exploit technique they developed can be used to extract an encryption key from a server running SIKE, a cryptographic algorithm used to establish a secret key between two parties over an otherwise insecure communications channel.
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The researchers said they successfully reproduced their attack on Intel CPUs from the 8th to the 11th generation of the Core microarchitecture. They also claimed that the technique would work on Intel Xeon CPUs and verified that AMD Ryzen processors are vulnerable and enabled the same SIKE attack used against Intel chips. The researchers believe chips from other manufacturers may also be affected.
In a blog post explaining the finding, research team members wrote:
Neither Intel nor AMD are issuing microcode updates to change the behavior of the chips. Instead, they're endorsing changes Microsoft and Cloudflare made respectively to their PQCrypto-SIDH and CIRCL cryptographic code libraries. The researchers estimated that the mitigation adds a decapsulation performance overhead of 5 percent for CIRCL and 11 percent for PQCrypto-SIDH. The mitigations were proposed by a different team of researchers who independently discovered the same weakness.
AMD declined to comment ahead of the lifting of a coordinated disclosure embargo.
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For now, there's nothing end-users can do, and even if there was, it's not clear at this point that Hertzbleed represents a clear and present threat. Instead, developers should carefully consider how the findings affect the security of the cryptographic software they design. The researchers propose other methods for hardening apps against Hertzbleed-like attacks.
My opinion only DYOR
FF
AKIDA BALLISTA
A new vulnerability in Intel and AMD CPUs lets hackers steal encryption keys
Hertzbleed attack targets power-conservation feature found on virtually all modern CPUs.
DAN GOODIN - Yesterday at undefined
Enlarge
65WITH 49 POSTERS PARTICIPATING
Microprocessors from Intel, AMD, and other companies contain a newly discovered weakness that remote attackers can exploit to obtain cryptographic keys and other secret data traveling through the hardware, researchers said on Tuesday.
Hardware manufacturers have long known that hackers can extract secret cryptographic data from a chip by measuring the power it consumes while processing those values. Fortunately, the means for exploiting power-analysis attacks against microprocessors is limited because the threat actor has few viable ways to remotely measure power consumption while processing the secret material. Now, a team of researchers has figured out how to turn power-analysis attacks into a different class of side-channel exploit that's considerably less demanding.
Targeting DVFS
The team discovered that dynamic voltage and frequency scaling (DVFS)—a power and thermal management feature added to every modern CPU—allows attackers to deduce the changes in power consumption by monitoring the time it takes for a server to respond to specific carefully made queries. The discovery greatly reduces what's required. With an understanding of how the DVFS feature works, power side-channel attacks become much simpler timing attacks that can be done remotely.The researchers have dubbed their attack Hertzbleed because it uses the insights into DVFS to expose—or bleed out—data that's expected to remain private. The vulnerability is tracked as CVE-2022-24436 for Intel chips and CVE-2022-23823 for AMD CPUs. The researchers have already shown how the exploit technique they developed can be used to extract an encryption key from a server running SIKE, a cryptographic algorithm used to establish a secret key between two parties over an otherwise insecure communications channel.
Advertisement
The researchers said they successfully reproduced their attack on Intel CPUs from the 8th to the 11th generation of the Core microarchitecture. They also claimed that the technique would work on Intel Xeon CPUs and verified that AMD Ryzen processors are vulnerable and enabled the same SIKE attack used against Intel chips. The researchers believe chips from other manufacturers may also be affected.
In a blog post explaining the finding, research team members wrote:
Intel Senior Director of Security Communications and Incident Response Jerry Bryant, meanwhile, challenged the practicality of the technique. In a post, he wrote: "While this issue is interesting from a research perspective, we do not believe this attack to be practical outside of a lab environment. Also note that cryptographic implementations that are hardened against power side-channel attacks are not vulnerable to this issue." Intel has also released guidance here for hardware and software makers.
Neither Intel nor AMD are issuing microcode updates to change the behavior of the chips. Instead, they're endorsing changes Microsoft and Cloudflare made respectively to their PQCrypto-SIDH and CIRCL cryptographic code libraries. The researchers estimated that the mitigation adds a decapsulation performance overhead of 5 percent for CIRCL and 11 percent for PQCrypto-SIDH. The mitigations were proposed by a different team of researchers who independently discovered the same weakness.
AMD declined to comment ahead of the lifting of a coordinated disclosure embargo.
At the granularity of milliseconds
In explaining the Hertzbleed attack, the researchers wrote:Riccardo Paccagnella, a University of Illinois Urbana-Champaign researcher and a co-author of the paper, said that Hertzbleed demonstrates the obsolescence of guidance jointly hammered out by hardware and software engineers for writing software that isn't susceptible to timing attacks. "The result is that current industry guidelines for how to write constant-time code (such as Intel's one) are insufficient to guarantee constant-time execution on modern processors," he wrote in an online message.
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For now, there's nothing end-users can do, and even if there was, it's not clear at this point that Hertzbleed represents a clear and present threat. Instead, developers should carefully consider how the findings affect the security of the cryptographic software they design. The researchers propose other methods for hardening apps against Hertzbleed-like attacks.
Simply wall st clearly has some kind of automated analysis happening, as no way do they have coverage of this stock. I.e Insiders selling = bad and it generates pro forma text / coverage to get people on site. As a general heuristic it’s fine but obviously this causes problems where PvDM gives away shares to charity- that is to say it’s a red herring to problems with the company. I agree it’s dodgy but I wouldn’t worry too much about it.
same hereoops, I deleted that email without reading it
Great to see!
Quatrojos
Regular
Mimicking the Five Senses, On Chip - Robohub
Anyone not seen this?
One thing to note is why there is a no NDA with other companies like stellantus and valeo openly mentioned them and in BRN case we suspect there is NDA. Hopefully soon one of those major companies will come out mention BRN with revenue attached to it . Waiting for that dayValeo's third-gen Scala LiDAR is proving to be a hit. No comments about BrainChip's involvement so far.
View attachment 9476
If Akida is in the LiDaR supplied to Stellantis by Valeo, there would not necessarily be any connexion between BRN and Stellantis.
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Well I have seen it and the interview was discussed here at the time but so much has happened it had slipped my memory.Mimicking the Five Senses, On Chip - Robohub
robohub.org
Anyone not seen this?
It is certainly worth using it as a refresher. Thanks for the reminder.
My opinion only DYOR
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AKIDA BALLISTA
BaconLover
Founding Member
Not sure what you are implying here.
The post reads ''Stellantis has chosen our third-generation LIDAR..................''
Now in this instance Valeo is stating that Stellantis has chosen their tech - they have not revealed too much technical details, so they possibly have NDA in place too.
Brainchip openly mentioned Valeo via ASX Announcement a couple of years ago, not sure how much more open the company can be when declaring a client relationship.
NDA is important.
A silly example - those who eat KFC, do you know what is in it? Apparently there are 18 ingredients which not many know, because that's their secret recipe. Don't think those who handle it are going to share it with every person just because they want to know.
It is their moat, which they won't give it away.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Mimicking the Five Senses, On Chip - Robohub
Anyone not seen this?
Thanks for posting Quatrojos! Rob can barley contain his excitement. I noticed that Akida gets a few name-changes in the transcript displayed below the podcast window-thingy.
AKIDA. IKEDA. NIKITA....A rose by another name smells just as sweet.
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Rise from the ashes
Regular
I think my mate who I got in a little while ago is finally coming around to realising what a gem we have here. He was complaining that share price went up today 
mrgds
Regular
DingoBorat
Slim
Hey don't knock TMH, their share price has been rock solid, during all the market turmoil!
I tried to place an order, for what I think they're worth, but Comsec won't accept it..
I reckon, they're maybe worth a punt, at a few cents a share..
What kind of account do you need, to place an order, so far from the sellers offers?
..
chapman89
Founding Member
So NVISO has partnered with Siemens Healthineers, now if you read the NVISO white paper and how much NVISO loves Brainchip, I think they’re a bigger fan of Brainchip than most out there, so I would say, in my honest opinion that NVISO has gone to Panasonic and Siemens and showed them akida running in their software!
Here’s the link-
www.nviso.ai
Here’s the link-
NVISO collaborates with Siemens Healthineers to apply Human Behaviour AI in medical imaging applications
NVISO Human Behavioural Analytics AI software solution to support Siemens Healthineers solutions in developing new intelligent applications
chapman89
Founding Member
So NVISO has partnered with Siemens Healthineers, now if you read the NVISO white paper and how much NVISO loves Brainchip, I think they’re a bigger fan of Brainchip than most out there, so I would say, in my honest opinion that NVISO has gone to Panasonic and Siemens and showed them akida running in their software!
Here’s the link-
NVISO collaborates with Siemens Healthineers to apply Human Behaviour AI in medical imaging applications
NVISO Human Behavioural Analytics AI software solution to support Siemens Healthineers solutions in developing new intelligent applications
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PRESS RELEASE
NVISO collaborates with Siemens Healthineers to apply Human Behaviour AI in medical imaging applications
16th June, 2022
Lausanne, Switzerland – June 16th, 2022 – – nViso SA (NVISO), the leading Human Behavioural Analytics AI company, is pleased to announce it has commenced a commercial pilot applying the NVISO Human Behavioural Analytics AI software solution to support Siemens Healthineers solutions in developing new intelligent applications. Initially the collaboration includes the deployment of real-time deep learning-based AI Apps for face detection, head pose recognition, facial recognition, and emotion recognition within a trial environment. These AI Apps are specifically designed for resource constrained hardware requiring low-power and low-memory footprints deployed at the edge without requiring an internet connection.“We at Siemens Healthineers are convinced that patient experience will become the key differentiator in the medical device industry by creating greater clinical and operational customer value.” said Carsten Thierfelder of Siemens Healthineers “In this context, next generation man-machine-communication based on AI technologies will help interpreting patient emotions at various touchpoints and thus avoid unpleasant moments throughout their journey. Our latest collaboration activities with NVISO are already showing promising results in this space”.
Within the healthcare sector there are a growing number of use cases for AI technology in improving Health Assessment and Screening, Patient Monitoring and Workflow Automation Support to help deliver both improved patient outcomes and efficiencies within the healthcare system. Driven by the ever increasing costs in the healthcare system and the need for more resource efficient and decentralised delivery processes along with rapidly aging populations, this is achieved through using visual comprehension and NVISO’s human behavioural analytics AI running at the edge as a private, secure and noninvasive system supporting today's healthcare challenges.
- Health Assessment and Screening: Real-time health assessments and screening can assist medical staff and care assistants in both prevention and treatment of conditions and the best allocation of resources. Using AI powered visual observation for measurement of vital signs, and advanced emotions including the assessment of levels of mood, stress, fatigue and anxiety, information can be gathered to assist in decision making leading to improved patient outcomes with optimal resource utilization.
- Patient Monitoring: Monitoring of patients throughout their care experience integrated with hospital information systems, can lead to safer, more secure, and improved patient centric experiences with efficiency and better outcomes. Highly accurate biometrics analysis helps in reliable identification of delirious patients to ensure patient security throughout the treatment journey along with the observation of vital signs, management of stress and anxiety when under treatment and observation of overall mood. Further, observations of body movement, postures, extremity movements, and head pose variations can help identify medical conditions along with emergencies such as collapse or complications in post-operative recovery.
- Workflow Automation Support: Monitoring of both patient and staff identities and activities throughout the patient journey can lead to significantly improved outcomes and efficiencies as well as enhancing security. AI enables patient emotional profiling to address various challenges in communication and medical procedures including the onset of severe fatigue by medical staff and patient confusion and comprehension. AI can be used to monitor facilities and objects, for example to ensure the correct sterilisation process and tool preparation have been followed, correct patient positioning for automated processes has been made, and potential contamination sources identified (e.g., where touch has taken place).
NVISO’s solutions deliver on these use cases through its range of AI Apps providing visual observation, perception and semantic reasoning capabilities, the results of which can be used in identifying issues, in decision making processes and in supporting autonomous “human like” interactions. Examples of these AI Apps provide the analysis of core signals of human behaviour such as body movements, extremity movements, facial expressions, advanced emotions, identity, head pose variations, gaze, gestures, activities, and the identification of objects with which users interact. These AI Apps can be optimised for typically resource constrained low power and low memory processing platforms deployed on the edge without requiring an internet connection. Furthermore, NVISO AI Apps can be easily configured to suit any camera system for optimal performance in terms of distance and camera angle, and thanks to NVISO’s large scale proprietary human behaviour databases NVISO’s AI Apps are robust to the imaging conditions often found in real world deployments. Unlike cloud-based solutions, NVISO’s solutions do not require information to be sent off-device for processing elsewhere so user privacy and safety can be protected.
"Over the last year we have worked with Siemens Healthineers’ team to develop concepts to provide new solutions supporting a variety of use cases within the healthcare environment. Our engineering team has delivered an excellent AI solution for fast customer setup with deployment within the demanding environment of medical imaging applications where continuous assessment and monitoring of patients along with workflow support is required”, said Tim Llewellynn, CEO of NVISO, “Deployment of this technology can provide significant improvement in the target use cases leading to improvement in both patient outcomes and workflow efficiency. For several years, we have been investing in partnerships to integrate our AI Apps into deep learning accelerated hardware enabling breakthrough capabilities which is now starting to bear fruits. This commercial pilot provides additional evidence for the strong industry demand we are experiencing for the integration of advanced Human Behavioural Analytics technology into extreme edge-based systems for a wide range of applications ranging from consumer products through to medical devices and autonomous and connected automotive systems".
Fullmoonfever
Top 20
Particularly liked this bit
PRESS RELEASE
NVISO collaborates with Siemens Healthineers to apply Human Behaviour AI in medical imaging applications
16th June, 2022
Lausanne, Switzerland – June 16th, 2022 – – nViso SA (NVISO), the leading Human Behavioural Analytics AI company, is pleased to announce it has commenced a commercial pilot applying the NVISO Human Behavioural Analytics AI software solution to support Siemens Healthineers solutions in developing new intelligent applications. Initially the collaboration includes the deployment of real-time deep learning-based AI Apps for face detection, head pose recognition, facial recognition, and emotion recognition within a trial environment. These AI Apps are specifically designed for resource constrained hardware requiring low-power and low-memory footprints deployed at the edge without requiring an internet connection.
“We at Siemens Healthineers are convinced that patient experience will become the key differentiator in the medical device industry by creating greater clinical and operational customer value.” said Carsten Thierfelder of Siemens Healthineers “In this context, next generation man-machine-communication based on AI technologies will help interpreting patient emotions at various touchpoints and thus avoid unpleasant moments throughout their journey. Our latest collaboration activities with NVISO are already showing promising results in this space”.
Within the healthcare sector there are a growing number of use cases for AI technology in improving Health Assessment and Screening, Patient Monitoring and Workflow Automation Support to help deliver both improved patient outcomes and efficiencies within the healthcare system. Driven by the ever increasing costs in the healthcare system and the need for more resource efficient and decentralised delivery processes along with rapidly aging populations, this is achieved through using visual comprehension and NVISO’s human behavioural analytics AI running at the edge as a private, secure and noninvasive system supporting today's healthcare challenges.
- Health Assessment and Screening: Real-time health assessments and screening can assist medical staff and care assistants in both prevention and treatment of conditions and the best allocation of resources. Using AI powered visual observation for measurement of vital signs, and advanced emotions including the assessment of levels of mood, stress, fatigue and anxiety, information can be gathered to assist in decision making leading to improved patient outcomes with optimal resource utilization.
- Patient Monitoring: Monitoring of patients throughout their care experience integrated with hospital information systems, can lead to safer, more secure, and improved patient centric experiences with efficiency and better outcomes. Highly accurate biometrics analysis helps in reliable identification of delirious patients to ensure patient security throughout the treatment journey along with the observation of vital signs, management of stress and anxiety when under treatment and observation of overall mood. Further, observations of body movement, postures, extremity movements, and head pose variations can help identify medical conditions along with emergencies such as collapse or complications in post-operative recovery.
- Workflow Automation Support: Monitoring of both patient and staff identities and activities throughout the patient journey can lead to significantly improved outcomes and efficiencies as well as enhancing security. AI enables patient emotional profiling to address various challenges in communication and medical procedures including the onset of severe fatigue by medical staff and patient confusion and comprehension. AI can be used to monitor facilities and objects, for example to ensure the correct sterilisation process and tool preparation have been followed, correct patient positioning for automated processes has been made, and potential contamination sources identified (e.g., where touch has taken place).
NVISO’s solutions deliver on these use cases through its range of AI Apps providing visual observation, perception and semantic reasoning capabilities, the results of which can be used in identifying issues, in decision making processes and in supporting autonomous “human like” interactions. Examples of these AI Apps provide the analysis of core signals of human behaviour such as body movements, extremity movements, facial expressions, advanced emotions, identity, head pose variations, gaze, gestures, activities, and the identification of objects with which users interact. These AI Apps can be optimised for typically resource constrained low power and low memory processing platforms deployed on the edge without requiring an internet connection. Furthermore, NVISO AI Apps can be easily configured to suit any camera system for optimal performance in terms of distance and camera angle, and thanks to NVISO’s large scale proprietary human behaviour databases NVISO’s AI Apps are robust to the imaging conditions often found in real world deployments. Unlike cloud-based solutions, NVISO’s solutions do not require information to be sent off-device for processing elsewhere so user privacy and safety can be protected.
"Over the last year we have worked with Siemens Healthineers’ team to develop concepts to provide new solutions supporting a variety of use cases within the healthcare environment. Our engineering team has delivered an excellent AI solution for fast customer setup with deployment within the demanding environment of medical imaging applications where continuous assessment and monitoring of patients along with workflow support is required”, said Tim Llewellynn, CEO of NVISO, “Deployment of this technology can provide significant improvement in the target use cases leading to improvement in both patient outcomes and workflow efficiency. For several years, we have been investing in partnerships to integrate our AI Apps into deep learning accelerated hardware enabling breakthrough capabilities which is now starting to bear fruits. This commercial pilot provides additional evidence for the strong industry demand we are experiencing for the integration of advanced Human Behavioural Analytics technology into extreme edge-based systems for a wide range of applications ranging from consumer products through to medical devices and autonomous and connected automotive systems".
These AI Apps are specifically designed for resource constrained hardware requiring low-power and low-memory footprints deployed at the edge without requiring an internet connection.
BaconLover
Founding Member
So NVISO has partnered with Siemens Healthineers, now if you read the NVISO white paper and how much NVISO loves Brainchip, I think they’re a bigger fan of Brainchip than most out there, so I would say, in my honest opinion that NVISO has gone to Panasonic and Siemens and showed them akida running in their software!
Here’s the link-
NVISO collaborates with Siemens Healthineers to apply Human Behaviour AI in medical imaging applications
NVISO Human Behavioural Analytics AI software solution to support Siemens Healthineers solutions in developing new intelligent applications
This is HUGE. Pretty sure we have made some sort of dot joining with Siemens so if NVISO is partnering with them, whoa..... I think we will see a few more of these ''partnerships'' from ARM, NVISO, SiFive, MOSCHIPS etc.
Partnerships + Ecosystems = Royalties.
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