CHIPS
Regular
I confess: I am a BrainChip addict too and keep buying at this price. And immediately after I keep telling myself that I now have more than enough
BRN Discussion Ongoing
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I confess: I am a BrainChip addict too and keep buying at this price. And immediately after I keep telling myself that I now have more than enough
Jacob Kiraz
Emerged
Pitt Street who are they and how would they know what's around the corner when the company don't say crap
BrainChip on LinkedIn: Pitt Street Research re-initiates coverage on BrainChip which is…
Pitt Street Research re-initiates coverage on BrainChip which is commercializing a revolutionary neuromorphic technology. Read Full Report:…www.linkedin.com
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TheDrooben
Pretty Pretty Pretty Pretty Good
Same here CHIPS.............I have been waiting for this EOFY sell down to buy more. Larry is now a bee's phallus from 200kI confess: I am a BrainChip addict too and keep buying at this price. And immediately after I keep telling myself that I now have more than enough
Or is it????
Happy as Larry
FJ-215
Regular
I tend to skim over anything put out by MF but... is this a new disclaimer. Almost like they want to start hedging their bets..
Smoothsailing
Regular
The fuel has been put into the drag cars… Here we goThis platform is designed for the upcoming R - Car GEN 5MCU/SoC Family and future devices.
To demonstrate where we might fit into the scheme of things here, I've included below a screenshot of an article from the 7 November 2023 outlining Reneses' R-Car Roadmap.
Renesas launches R-Car Open Access platform for SDV development
By IZZY WOODJune 24, 20243 Mins Read
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Japanese semiconductor manufacturer Renesas Electronics has introduced R-Car Open Access (RoX), a development platform for software-defined vehicles (SDVs).
The platform integrates essential hardware, operating systems, software and tools to facilitate the rapid creation of next-generation vehicles with secure and continuous software updates. Designed for the Renesas R-Car family of system on chips (SoCs) and microcontrollers (MCUs), the RoX platform includes tools for the simple deployment of AI applications, to reduce development complexities for car OEMs and Tier 1 suppliers.
RoX is available in two versions. The RoX Whitebox version provides an open, accessible software package that includes royalty-free operating systems and hypervisor software such as Android Automotive OS, FreeRTOS, Linux, Xen and Zephyr RTOS.
RoX Licensed is based on industry-proven commercial software solutions, including QNX and Red Hat In-Vehicle Operating System, as well as Autosar-compliant software and SafeRTOS. This version includes pre-validated software stacks from partners like Stradvision for ADAS and Candera CGI Studio for in-vehicle infotainment (IVI).
Modern electrical/electronics (E/E) architecture now relies heavily on software to control vehicle functions and manage real-time data networks. This shift has increased the complexity of maintaining and upgrading software stacks while ensuring the highest levels of safety.
Renesas says the RoX platform aims to address these challenges by providing a cloud-native development environment and a simulation platform, supporting a software-first approach, and parallel hardware and software development.
The platform is designed for the current generation of R-Car SoCs, the upcoming R-Car Gen 5 MCU/SoC Family and future devices. The R-Car Gen 5 family provides a unified hardware architecture based on Arm CPU cores, enabling customers to reuse the same software and tools across different car models and generations.
RoX also includes the Renesas Fast Simulator (RFS) and partner solutions like ASTC VLAB VDM and Synopsys Virtualizer Development Kit (VDK), which aim to let developers design, debug and verify software in simulation before deploying it on live SoCs and MCUs.
For AI development, the RoX platform has an AI Workbench, enabling developers to validate and optimize models and test AI applications in the cloud. This integration also supports rapid AI deployment on the R-Car heterogeneous compute platform.
The RoX platform also supports Amazon Web Services (AWS) cloud computing services.
Andrea Ketzer, director of technology strategy, automotive and manufacturing at AWS, said, “With Renesas’s R-Car Gen 5 devices supported by the AI Workbench on AWS, customers will achieve faster and more validated simulations and the ability to develop independently of hardware. This step change in development will drive the industry forward and place software innovation at the forefront of mobility.”
The R-Car Open Access Platform is available now with options for licensing. It includes open-source OS, commercial OS, full application software stacks, virtual development, cloud infrastructure and debugging tools.
Vivek Bhan, senior VP and GM of high performance computing at Renesas, said, “Today, car OEMs and Tier 1 suppliers are heavily investing in software development and maintenance. The RoX platform empowers our customers to design vehicles that deliver new value and bring improved safety and delightful comfort experiences to drivers and passengers.”
Renesas launches R-Car Open Access platform for SDV development | Automotive Testing Technology International
Japanese semiconductor manufacturer Renesas Electronics has introduced R-Car Open Access (RoX), a development platform for software-defined vehicles (SDVs). The platform integrates essential hardware, operating systems, software and tools to facilitatewww.automotivetestingtechnologyinternational.com
Article from 7 Nov 2023
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- Market monopoly: By controlling the market, the dominant player stifles competition and prevents innovation. More energy-efficient and cost-effective solutions than existing offerings are needed.
I wrote you an internal message via Linkedin in 2019...do you remember ? I'm sure you don't !
The bridge across the chasm is almost complete, the valley of death far below is now a thing of the past, a new era is dawning,
where Akida will shine majestically in the glory of the sun, a trailing breeze will continue to strengthen behind Akida's back making
our journey to the forbidden lands that much more glorious.
Feeling proud to own Brainchip shares isn't about the current share price it's about sharing the experience with some wonderful individuals
who have never given up when things got tough, an announcement will come, and you won't be expecting it.
No matter what you believe, Peter's et al technology isn't going away, it's only becoming stronger by the month, I personally believe that
the dominos are all going to fall in our favour very soon.
My views only....watch this space...Tech
Tothemoon24
Top 20
The transformational era of AI in healthcare: Multimodal AI and Neuromorphic AI
By Express Computer on June 20, 2024By Anup S S, Practice Head, Artificial Intelligence, Tata Elxsi
Artificial Intelligence is undergoing steady research and development with its influence being felt across industries, specifically in the healthcare sector. From optimising drug combinations to diagnostic assistance and toxicity studies, AI is set to redefine every facet of healthcare. The healthcare sector is also acknowledging the critical need for an interdisciplinary approach that integrates engineering with medical science. This paradigm shift signals an era in which AI’s extensive capabilities will revolutionise diagnostics, patient treatment protocols, drug development and delivery, and prescription practices in the next decade.
Impact of digital and connected technologies in healthcare
In the constantly evolving healthcare landscape, the fusion of Multimodal AI and Neuromorphic Technology represents a pivotal moment. Firstly, Multimodal AI refers to the generative capabilities of AI like processing information from multiple modalities, including images, videos, and text. In healthcare, these modalities often include both visual and clinical data. Visual data may include medical images from scans, while clinical data encompasses patient records, parameters, and test reports. Multimodal AI integrates these diverse data types to provide a comprehensive understanding, draw meaningful insights and give suggestions based on data and image analytics.
Neuromorphic Technology, on the other hand, comes from the combination of “neuro” (related to the nervous system) and “morphic” (related to form or structure). It refers to a method of computer engineering in which computational elements are modelled after systems in the human brain and nervous system. These are AI-powered by brain-like computing architectures and can process larger amounts of data with less computing power, memory, and electric power consumption. For one, Neuromorphic Technology utilises Artificial Neural Networks (ANN) and Spiking Neural Networks (SNN) to mimic the parallel processing, event-driven nature, and adaptability observed in biological brains.
The fusion of Multimodal AI and Neuromorphic Technology transitions from reactive medicine to a proactive and preventive healthcare paradigm. This synergy goes beyond the collaboration of cutting-edge technologies; it opens the door to a future where wellness is the primary focus. These technologies hold promise to transform healthcare by enhancing diagnostics, enabling personalised medicine, predicting long-term prognosis, and contributing to innovations in therapeutic interventions. For example, Multimodal AI can help in accurate and personalised management of diseases based on data from different sources including lab reports, imaging studies, clinical history and so on. Neuromorphic, on the other hand, can make the medical devices extremely portable with low-energy consumption. This can eventually lead to implantable smart devices that can monitor vital functions on a continuous basis with minimal discomfort to the user.
How connected technologies help to prevent diseases, lower costs & manage chronic conditions
Multimodal and Neuromorphic AI are further enhanced by connected technologies in healthcare. For instance, connected devices help provide more personalised and prognostic insights based on individual variations. Combining visual and clinical data along with machine learning operations to correlate with prior case records further helps prevent diseases and paves the way for a seamless deployment, continuous monitoring, and collaborative development across various stakeholders in the healthcare ecosystem.
What’s more, these technologies also help in lowering healthcare costs. Even with limited resources, a first-level AI-based screening in small facilities can play a pivotal role in early detection of many diseases. AI-based technologies also provide unbiased, objective, and repeatable analysis without any additional costs involved.
Further, connected healthcare with multimodal AI helps patients manage and monitor chronic conditions like Diabetes/HT/Cardiac Diseases with continuous monitoring and personalised medications. The adaptability of multimodal AI to changing data patterns ensures that prognostic models can dynamically adjust based on evolving patient conditions and improve prognosis predictions. It also helps in the discovery of new insights, contributing to medical advancements and innovations. For instance, personalised prognostic models include both visual and clinical data. These models account for individual variations and correlate with prior case records and provide more accurate predictions of disease outcomes.
Additionally, Multimodal AI and Neuromorphic AI technologies also play a vital role in the management of emergency interventions. In such cases, adaptive intelligence for dynamic adjustments enhances the precision of diagnostic processes. This event-driven processing aligns with the dynamic nature of healthcare data allowing for more accurate and timely diagnoses.
Responsible AI: Ethics and regulations in healthcare technology
In the realm of AI, addressing bias stands as a pivotal ethical imperative, particularly in fields like medical analysis where the demand for precise and unbiased inference is ethically, legally, and morally paramount. This requires rigorous testing using diverse, unbiased anonymised datasets, continual monitoring to mitigate biases, and a steadfast dedication to achieving fair outcomes across diverse patient populations.
The foundation of responsible AI in healthcare is laid upon a robust ethical framework that guides the entire lifecycle of Neuromorphic and Multimodal AI systems. This means ensuring transparency, fairness, and accountability at every stage of AI implementation by stakeholders of the industry. It is imperative to define strong ethical boundaries, implement robust audits, and establish legal frameworks to prevent data manipulation and ensure the highest standards of integrity.
As thought leaders in the healthcare industry, it is our commitment to responsibly integrate these technologies for a future where healthcare is not only reactive, but anticipatory, personalised, and universally accessible.
DingoBorat
Slim
'It's better than money in the bank, because of its earning potential ... and it is also the Magic Pudding - no matter how much you use, there's always more where that came from"
Hmmm Magic Pudding...
Tothemoon24
Top 20
This is above my pay rate of $1.21 hr
Seems Brainchip may of been part of this challenge, below can be found on page 6 of the above paper
MF want you to subscribe instead of buying a retail favorite stock. Also shorters with huge bets on have the ability to assist their agenda by getting Financial digital 'rags' to support their agenda. Not saying its happening here.
SharesForBrekky
Regular
Here are links to what SiFive is currently showcasing at the RiscV Europe Summit at the moment (24-28 June):
www.cnx-software.com
Link to the Europe Summit page:
SiFive announces Essential Gen4 RISC-V CPUs for embedded applications - CNX Software
As the RISC-V Summit Europe 2024 is underway, SiFive has announced the fourth generation of its "Essential" RISC-V CPUs (Essential Gen4) with improved
www.cnx-software.com
Link to the Europe Summit page:
Pom down under
Top 20
"How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge," a Presentation from Arm
Stephen Su, Senior Segment Marketing Manager at Arm, presents the “How Arm’s Machine Learning Solution Enables Vision Transformers at the Edge” tutorial
www.edge-ai-vision.com
You’ll need to login
AARONASX
Holding onto what I've got
Apologies if already shared
stocksdownunder.com
BrainChip (ASX:BRN): An exciting AI stock with an immense opportunity ahead
BrainChip (ASX:BRN) is commercialising neuromorphic processing technology known as Akida and has a very substantial opportunity ahead.
stocksdownunder.com
In the "SALE" section.......Bitter Flavour
Thanks for the article, just bought a bit more and keep my fingers crossed..Apologies if already shared
BrainChip (ASX:BRN): An exciting AI stock with an immense opportunity ahead
BrainChip (ASX:BRN) is commercialising neuromorphic processing technology known as Akida and has a very substantial opportunity ahead.
Bitter ( possibly ), but definitely on the edge of spikiness, i.e. BETTER.
A bit of interest today perhaps, ? Maybe it's a better " butter " bet....
Akida Ballista >>>>> Can you tell TALK from MUTTER <<<<<
Remember that one !
hotty...
Bravo
If ARM was an arm, BRN would be its biceps💪!
Tech Translated: Neuromorphic computing
s+b a PwC publicationWhat is neuromorphic computing? Neuromorphic computer systems aim to mimic brain functions, with the ultimate goal of matching—or even surpassing—the capabilities of the human mind. This ranges from using software to model and process information in the way that living organisms do, through trying to match the brain’s (as yet) unbeaten combination of low power and high performance with the use of radical new hardware architectures, including novel components such as memristors (transistors that behave like neurons).
What business problems can it address?
“With the enormous potential of AI becoming more obvious by the day, one of the major concerns for the field is that flexible intelligence as we understand it actually maps onto binary computing very poorly, and is inefficient as a result,” explains Dina Brozzetti, a managing director in PwC US’s products and technology practice. “If AI could truly learn and evolve its understanding of the world without prior programming, just like us, but at the same low energy cost—a human brain uses only around the same energy as a 20-watt light bulb, to do calculations a supercomputer would struggle to perform—then it could be the most transformative watershed in computing since the switch from vacuum tubes to transistors.”
Beyond immediate applications for AI and machine learning specifically, neuromorphic computing has implications for all human–machine intellectual collaboration—particularly data analysis and research and development—as well as internet of things, smart cities, autonomous vehicles, human augmentation, sensory processing, industrial management and more. This wide-ranging potential is why in 2023 PwC US listed neuromorphic computing as one of the Essential Eight emerging technologies.
How does it create value?
Today’s computers are limited by their internal configuration: a transistor is only connected on either side of its gate. But a neuron is connected to thousands of other neurons simultaneously. Additionally, rather than the binary on–off approach of today’s digital systems, neurons respond to both the quantity and duration of incoming signals, giving vastly more capacity to process information despite far lower energy needs. “This will both massively reduce IT overhead and give us an important tool for addressing climate change through reduction of energy use,” says Scott Likens, Global AI and Innovation Technology Leader, PwC United States.
There are hurdles: neuroscientists are still struggling to understand and model even simple animal brains, and memristors are more theory than reality. However, applying neuromorphic principles in both software and hardware has still led to impressive advancements, such as UC Santa Cruz’s SpikeGPT, a neural network that uses 22 times less energy than comparable systems. Neuromorphic systems can also self-improve through evolution, just like living creatures do, with potential for dramatic positive feedback loops in many fields of R&D.
“If a scalable breakthrough can be made, neuromorphic processors will lead to a dizzying number of new applications that we can only begin to speculate about, and at the same time truly integrate AI into our lives,” says Likens. “Something the size of your phone will be able to run tasks that currently require a supercomputer and enable new forms of AI that could see today’s generative AI models seem positively slow and limited in comparison.”
Who should be paying attention?
Anyone whose work involves information processing in which neurons still beat silicon could ultimately be impacted if neuromorphic computing takes off. Innovation-focused teams—in technology in general and medical technology in particular—as well as transportation and logistics, engineering and construction, automotive, chemicals, and pharmaceuticals and life sciences should all keep on top of developments in case of a breakthrough. The ubiquity of digital technology means leaders such as CTOs, CISOs, and COOs across industries should be aware of the potential of neuromorphic computing to radically alter computing’s capabilities.
How can businesses prepare?
“The field is still largely confined to academic/corporate R&D labs,” says Brozzetti, “so first, task a team with upskilling their knowledge, investigating possible applications in your industry, and deciding whether it makes sense to invest in either researching directly internally or engaging with external partners. Connect with researchers to help strengthen these efforts and find ways to collaborate to realize the potential benefits early.” At that point, it may be possible to identify possible use cases—for example, integration into an existing embedded IT product—and inclusion in your long-term product development road map.
Tech Translated: Neuromorphic computing
Potentially the key to the next generation of true artificial intelligence, neuromorphic computing could revolutionize business.
Incidentally, last year PwC estimated AI could impact global GDP by 15 trillion!
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Boab
I wish I could paint like Vincent
This report is now on the Brainchip website under "Resources" and select "PR".Apologies if already shared
BrainChip (ASX:BRN): An exciting AI stock with an immense opportunity ahead
BrainChip (ASX:BRN) is commercialising neuromorphic processing technology known as Akida and has a very substantial opportunity ahead.
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