BRN Discussion Ongoing
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DingoBorat
Slim
I agree with 7, not sure how you could possibly "see" this as a negative..
Maybe you need to see an Ophthalmologist?..
The exact reverse would most probably be happening if Harris/Walz had gotten in, with Walz having a history of literally being "in bed" with the daughter of a high ranking Chinese Communist official and even having his wedding on the anniversary date of the Tiananmen Square massacre (supposedly to remember the "Democratic defiance" of it).
The strong US connection of our Company, will show strong dividends to us, with the Trump teams focus on America first and tarrifing against unfair competition, from countries like China.
Other Western countries, will likely follow the US's lead, or watch it strengthen, as they fall into further economic decay.
All in my humble opinion only.
Hi Dingo, I have heard the Circle8 is going very well exceeding expectations, have you heard any information.I agree with 7, not sure how you could possibly "see" this as a negative..
Maybe you need to see an Ophthalmologist?..
The exact reverse would most probably be happening if Harris/Walz had gotten in, with Walz having a history of literally being "in bed" with the daughter of a high ranking Chinese Communist official and even having his wedding on the anniversary date of the Tiananmen Square massacre (supposedly to remember the "Democratic defiance" of it).
The strong US connection of our Company, will show strong dividends to us, with the Trump teams focus on America first and tarrifing against unfair competition, from countries like China.
Other Western countries, will likely follow the US's lead, or watch it strengthen, as they fall into further economic decay.
All in my humble opinion only.
DingoBorat
Slim
Hi MegaportX, I haven't been searching or looking, for any commercial engagements, or progress.
I'm sure progress is being made though.
We've all heard the "patience" comments and even "on the cusp" directly from Sean and while there doesn't "seem" to be much happening, I'm quietly confident of some significant progress soon.
I'm at a point now, where I don't really "care" what's happening and have Trust in the Company, to benefit my interests and investment.
Fullmoonfever
Top 20
Hi Tech,
I only just realised this morning that the TinyML Foundation is rebranding itself to the EDGE AI FOUNDATION!!! The new foundation’s mission is to ensure advancements in edge AI benefit society and the environment.
Check out the video below!! No one can deny that the edge is really starting to gain momentum!!
I think it's interesting that the video has been narrated by a woman with an Australian accent, despite the foundation being based in the US. I wonder if we can read anything into that?
View attachment 72634
This is the video link from the article above.
Here's a pic showing Ken Wu at the TinyML Foundation's (aka EDGE AI FOUNDATION) recent event.
View attachment 72636
Missed this post.
Was just googling and saw the rebranding so did a quick search on TSE and see @Bravo and @TECH already picked up.
A bit on the newly branded website. Some decent names to be in with.
EDGE AI FOUNDATION
Formerly the tinyML Foundation. We are the place of global innovation, collaboration, advocacy and education.
tinyML Foundation Strategic Partners
Strategic Partners enable us to continue to invest in strengthening our community for the benefit of the industry, academia and NGOs.
By becoming a Strategic Partner, you get on the “inside track” of the community to participate or lead working groups, drive content for events, engage in governance for community direction, leverage a growing talent pool, and highlight your innovations via speaking opportunities online and in-person.
More Information
BrainChip is the worldwide leader in on-chip edge AI processing and learning technology, that enables faster, efficient, secure, and customizable intelligent devices untethered from the cloud. The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain, the most efficient computer known, to analyze only essential sensor inputs at the point of acquisition, executing only necessary operations and therefore, processing data with unparalleled efficiency and precision. This supports a distributed intelligence approach keeping machine learning local to the chip, independent of the cloud, dramatically reducing latency, while simultaneously improving privacy and data security.
BrainChip is the foundation for cost-effective, fan-less, portable, real-time Edge AI systems that can offload the cloud, reducing the rapid growth in carbon footprint of datacenters. In addition, Akida’s unique capability to learn locally on device also reduces retraining of models in the cloud whose skyrocketing cost is a barrier to the growth of AIoT.
Food4 thought
Regular
On BrainChip’s updated website I couldn’t find Mercedes Benz anywhere
Has anyone noticed this or have I missed it ??!
Has anyone noticed this or have I missed it ??!
Braintonic
Regular
And Renesas?
ndefries
Regular
Attachments
AARONASX
Holding onto what I've got
Google puts Nvidia on high alert as it showcases Trillium, its rival AI chip, while promising to bring H200 Tensor Core GPUs within days
Trillium offers substantial advancements over TPU v5e predecessor
Google puts Nvidia on high alert as it showcases Trillium, its rival AI chip, while promising to bring H200 Tensor Core GPUs within days
Frangipani
Regular
Edward Lien, our Regional Sales Manager for Taiwan, presenting BrainChip demos at EDGE AI FOUNDATION’s Taipei 2024 on 6 November 2024.
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Bravo
If ARM was an arm, BRN would be its biceps💪!
The new E-class is due to go on sale in 2025, so I guess it won't be too long before we find out if our technology is involved in some way, shape or form, whether that is via TENNs being included in the software or what not.
Ola Källenius said this "is the most intelligent car that we have ever made", which makes me think that it has to be at least as intelligent as the EQXX.
The article I posted a link to a little earlier also states the following.
View attachment 72578
Ola Källenius also refers to the new MBOS in the video when he demos the voice assistant. If you look at this article below dated 22 Jan 2024 in eMercedesBenz, it talks about the MBOS having been derived from the display technology in the EQXX.
View attachment 72577
Extract
View attachment 72576
Redefining the Road: Exploring the Mercedes-Benz Concept CLA Coupe | eMercedesBenz
Electrifying Elegance: Mercedes-Benz Concept CLA Coupe Redefines Sustainable Luxuryemercedesbenz.com
And we all know that the UI/UX display technology in the EQXX incorporated our very own brain mimicking tech.
View attachment 72579
Mercedes-Benz VISION EQXX demonstrates its world-beating efficiency in real world driving
Successful first road trip takes electric vehicle efficiency to a new level Stuttgart/Cassis. The VISION EQXX from Mercedes-Benz has now taken to the roads of Europe and has demonstrated its outstanding range and efficiency.www.linkedin.com
Howdy gang!
Here's some more news on Mercedes' next gen MBOS and this ties in with Qualcomm's latest chips Snapdragon Cockpit Elite and Snapdragon Ride Elite, which will be available for sampling in 2025.
The article below, published 2 days ago, states "Qualcomm’s new Elite line of Snapdragon Cockpit and Snapdragon Drive platforms, set to launch on production vehicles in 2026, including upcoming models featuring Mercedes-Benz’s next-gen MB-OS". And, as per the information provided in the above post, Mercedes' new E-class (with the next generation MB-OS) is due to go on sale in 2025.
So, this obvious leads us to the next question of how likely it would be for Qualcomm to incorporate our technology into their stack or whether it is more likely for upcoming Mercedes vehicles only.
Looking through Qualcomm's product brief, I can see that the Ride Elite will come with "highly accurate, end efficient end-to-end transformers", plus "real-time driver monitoring and enhanced object detection" and an "AI-enhanced image signal processor support over 40 multimodal sensors, including up to 20 high-resolution cameras for 360-degree coverage and in-cabin monitoring".
I'm not sure of the technical aspects of transformers but I did wonder whether they might be referring to TENNs since TENNs has been described as a "transformer replacement" for edge processing.
Perhaps another one for @Diogenese.
Extract
AI-Driven SDV Rapidly Emerging As Next Big Step
The vision laid out by Qualcomm and other tech executives calls for the AI-driven SDV to lead to a critical shift in computing away from the cloud to directly onboard the vehicle as the industry moves to its next stage with what some are calling the Intelligent SDV.
Product Brief
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Bravo
If ARM was an arm, BRN would be its biceps💪!
Panasonic and Arm look to standardise Software-Defined vehicles
News2 mins read
Panasonic Automotive Systems and Arm have announced a strategic partnership that’s aimed at standardising automotive architecture for Software-Defined Vehicles (SDVs).
Credit: Business Image - adobe.stock.com
The two companies are looking to create a software stack with the flexibility to meet the current and future needs for automotive and have aligned on this through their active participation in SOAFEE, an initiative that is driving greater collaboration in standardised software development across the automotive market.
The partnership will see PAS and Arm adopt and extend the device virtualization framework VirtIO to decouple automotive software development from hardware and accelerate automotive industry development cycles.
The automotive industry has increasingly consolidated Electronic Control Units (ECUs) into a single powerful ECU such as Cockpit Domain Controller (CDC) or a High-Performance Computer (HPC) and this has made hypervisors and advanced chipsets more important than ever.
However, many automakers and tier-1 suppliers are challenged by vendor-specific proprietary interfaces, which leads to increased costs and delivery time when transitioning from one vendor solution to another.
Both PAS and Arm have recognised the need to shift from a hardware-centric to a software-first development model to address these challenges and by standardising the interfaces between automaker and tier-1 supplier software stacks and the underlying hypervisors and chipsets these run on, it will now be easier for automotive partners to adopt the latest generations of technology.
This new partnership will involve several key initiatives:
- Utilising VirtIO-based Unified HMI to standardise zonal architecture
- PAS and Arm are leveraging VirtIO not only for virtualising devices connected to the central ECU like CDC/HPC, but also for remote devices linked to zonal ECUs. Both have demonstrated a proof-of-concept using PAS’s open-source remote GPU technology, Unified HMI, to implement a Display Zonal Architecture built on Arm. This architecture distributes GPU loads from the central ECU to multiple zonal ECUs, reducing heat generation and harness weight without altering applications running on the central ECU. The flexible partitioning in the Mali-G78AE GPU of Zonal ECUs allocates dedicated hardware resources to different workloads, enabling deterministic graphics performance in a Display Zonal Architecture.
- PAS and Arm are collaborating to provide a SOAFEE Blueprint and reference implementation of this work, aiming to standardise emerging zonal architectures in the automotive industry.
- PAS’s vSkipGen operates on Arm Neoverse-based cloud servers and by maintaining the same Arm CPU architecture and VirtIO device virtualisation framework, this initiative will ensure full environmental parity between cloud virtual hardware and automotive hardware.
- PAS and Arm will collaborate to implement VirtIO in virtual hardware, further bridging the gap between virtual and physical automotive systems.
Commenting Masashige Mizuyama, Executive Vice President and Chief Technology Officer of PAS said, “Our partnership with Arm aims to promote the standardisation of VirtIO and bring this industry reference standard to the next level. It will unlock software potential and serve as a crucial foundation for building the future of automotive technology towards SDV.”
“SDVs continue to be one of the most exciting opportunities for automakers today, but realising this vision demands innovative approaches that allow software developers to begin their work before physical silicon is available,” said Dipti Vachani, senior vice president and general manager, Automotive Line of Business at Arm. “Our partnership with PAS stems from both organisations’ active participation in SOAFEE and builds on a shared goal to reduce fragmentation in the industry through standardisation, which will ultimately accelerate automotive development cycles for our partners.”
Panasonic and Arm look to standardise Software-Defined vehicles - New Electronics
Panasonic Automotive Systems and Arm aim to standardise automotive architecture for SDVs.
SharesForBrekky
Regular
Interesting trading going on this morning. Whole lot of trades that have been quantities of 2 as well as other single digit ones seem to be pushing the price down, but then some good healthy buys to push the price back up.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Hi @Quiltman,
This may be of interest considering you posed the question previously whether Sayan has been hired by Tata on a project basis to work on Spiking Neural models for Skanray with their IP partners ( Brainchip ) technology.
As you can see, Skanray is mentioned in this article in terms of Tata Exlsi's aim to enhance their diagnostic imaging solutions with AI.
Interview
Levitating with Digitisation: India’s Diagnostic Imaging Sector
Medical imaging systems form a crucial diagnostic tool for radiologists. With the advent of digitisation, medical imaging systems have evolved drastically becoming increasingly patient-centered. Technological advancements and innovations have fuelled the growth of the diagnostic imaging industry in India. Integrating AI, Big Data, data analytics tools, and algorithms helps to augment medical imaging systems which in turn enables healthcare professionals to make informed clinical decisions and timely interventions. Tata Elxsi, an advanced design and technology services organisation has pivoted their focus, investments and strategies towards the healthcare industry’s changing needs and requirements. With the help of extensive use of deep learning technologies, big data, data analytics and AI Tata Elxi’s diagnostic imaging wing is transforming the medical imaging and diagnostics space proving to be a key enabler for personalised and precision medicine. Harshal Kamalakar Sawant, Practice Head of Healthcare Software Services, Tata Elxsi and Anup SS, Practice Head, Artificial Intelligence, Tata Elxsi talks to Sonali Patranabish
The gamut of medical imaging systems has increased phenomenally in recent times with medical professionals reliant on radiology to make their clinical decisions. In what ways does Tata Elxsi leverage the use of technology to boost these medical imaging systems?
Tata Elxsi leverages technology to enhance medical imaging systems in several ways. We utilise advanced algorithms and AI to improve image quality, reduce noise, and enable more accurate diagnoses. Our solutions include image processing, reconstruction techniques, and analysis tools that assist radiologists in interpreting images and detecting abnormalities. By automating routine tasks, we are empowering healthcare professionals to focus on providing personalised patient care. Additionally, Tata Elxsi develops cloud-based platforms that facilitate image sharing, storage, and remote access, enabling collaboration between healthcare providers and improving patient care.
AI and GenAI have made inroads into almost every domain in the healthcare sector. In what way does digitisation empower and pivot the digital imaging industry?
AI-powered algorithms can now analyze medical images with greater accuracy and efficiency than human experts, leading to more precise diagnoses. For instance, GenAI creates synthetic medical images for training and testing purposes, reducing the need for real patient data. These advancements enable faster and more accurate image interpretation, improved patient outcomes, and reduced costs.
Additionally, digitisation facilitates remote and instant image sharing and consultation, improving access to care, especially in underserved areas.
In what ways is Tata Elxsi's Artificial Intelligence Center of Excellence (AICoE) used to empower the diagnostic imaging sector? Could you cite a few of your state-of-the-art AI solutions for medical imaging?
The AICoE is making a significant impact on the healthcare industry at large. Specific to imaging technology, AI has helped immensely in image quality enhancement. Our team has developed AI algorithms that can reduce noise and artefacts in medical images, leading to clearer and more interpretable results. This is particularly important in cases where image quality is compromised due to factors such as patient movement or technical limitations, which can impact the overall diagnosis.
Another area of focus is computer-aided detection (CAD). AI-powered CAD systems can help radiologists identify subtle abnormalities in medical images that may be missed by the human eye. This can lead to earlier detection of diseases and more effective treatment. We are also working on image segmentation, which involves automatically dividing medical images into different regions or structures. This can be useful for quantitative analysis and treatment planning. For example, AI algorithms can accurately segment tumours in CT scans, allowing doctors to measure their size and assess their response to treatment.
In addition to these applications, the AICoE is also exploring the use of AI for predictive analytics. By analysing large datasets of medical images and patient information, AI algorithms can identify patterns and trends that may be indicative of disease progression or treatment response. This can help doctors make more informed decisions about patient care.
From an industry perspective, what sort of opportunities can be expected with an improved focus on digitising the medical imaging system?
We believe that the digitisation of medical imaging systems presents a wealth of opportunities for the healthcare industry. This transformation has the potential to revolutionise various aspects of healthcare delivery and management. One of the primary benefits of digitisation is the improvement in efficiency and cost-effectiveness.
By automating and standardizing processes, healthcare providers can streamline their workflows, significantly reduce manual errors, and optimise resource allocation. This leads to smoother operations and better utilisation of available resources.
Secondly, digitisation also paves the way for enhanced patient care through the use of advanced analytics and AI-powered tools. These technologies enable healthcare professionals to make more accurate and timely diagnoses, develop personalised treatment plans, and implement remote monitoring solutions. As a result, patients can receive more tailored and effective care. Furthermore, the shift towards digital medical imaging systems opens up new business models and revenue streams for companies in the healthcare sector. For instance, organizations can offer cloud-based imaging services, develop data analytics solutions, and create telemedicine platforms. These innovative services can provide additional value to healthcare providers and patients alike.
Lastly, digitisation fosters collaboration and innovation within the healthcare community. Digital platforms facilitate the sharing of data and insights among healthcare providers, potentially accelerating research and development efforts. This collaborative approach can lead to breakthroughs in medical knowledge and treatment methodologies.
How do you foresee this market growing and expanding with precision medicine and imaging getting all the attention?
Precision medicine involves tailoring treatments to individual patients based on their genetic makeup and other factors, thus, it requires highly accurate and detailed medical images. This will drive demand for advanced imaging technologies and software solutions. The development of AI and machine learning algorithms will further enhance the capabilities of medical imaging systems. These technologies can help to improve image quality, detect subtle abnormalities, and provide more accurate diagnoses. The growing adoption of digital health solutions will also create new opportunities for medical imaging.
For example, remote monitoring and telemedicine applications will require high-quality images to enable accurate diagnosis and treatment.
Overall, I foresee a bright future for the medical imaging market with the increasing focus on precision medicine and the advancements in technology.
In your recent partnership with Skanray, how will Tata Elxsi value add to Skanray’s diagnostic imaging solutions?
I am excited about our partnership with Skanray. Our collaboration will leverage Tata Elxsi's expertise in software development, AI, and data analytics to enhance Skanray's diagnostic imaging solutions.
We will focus on developing innovative software platforms that improve image quality, enable more accurate diagnoses, and streamline workflows. Our goal is to provide Skanray's customers with cutting-edge technology that can improve patient outcomes and enhance the overall efficiency of healthcare delivery.
By combining Skanray's deep domain knowledge in medical imaging with Tata Elxsi's technological capabilities, we aim to create a powerful partnership that will drive innovation and advance healthcare.
What does the road ahead look like for Tata Elxsi, do you have plans to further broaden your digital imaging solutions?
The road ahead for Tata Elxsi in digital imaging is filled with opportunities for growth and innovation. We plan to continue expanding our portfolio of digital imaging solutions by leveraging emerging technologies such as AI, machine learning, and cloud computing. This will enable us to provide our customers with even more advanced and sophisticated tools.
Additionally, we are committed to strengthening our partnerships with leading medical device manufacturers to develop integrated solutions that address the evolving needs of healthcare providers.
By focusing on these areas, we believe that Tata Elxsi can maintain its position as a leading provider of digital imaging solutions and contribute to improving patient outcomes and healthcare efficiency.
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7für7
Top 20
7für7
Top 20
Seller are always negative…they are the dark side at it’s best
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