Fastback6666
Regular
Ohh they are getting set and have been buying up for months now!Yep happens every year… It would be nice if it was instos getting set though
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Frangipani
Top 20
Hi Learning,Hi Frangipani,
I agree with what Dio said above, as this media release didn't say Brainchip (partners/ collaborate) with Örebro University. It's state this:
With findings achieved through studies by BrainChip Research, “Finding Bacteria in the Blood: Scaling a Hardware-Driven Neuromorphic Solution for Real-World E-Nose Applications” presents how a hardware-based, low-power neuromorphic solution can be combined with electronic sensors to create compelling real-world healthcare solutions that are cost-effective, portable and accurate. These assisted devices could significantly speed up disease diagnosis in remote locations, or even outside of traditional clinical facilities.
The paper explores a blood dataset collected as part of the Mednose project at Örebro University. The classifier model developed using Akida™ was able to identify ten different bacteria species in blood samples with a classification accuracy of 97.42%, outperforming previous implementations.
“Leveraging neuromorphic hardware to provide portable, power-efficient solutions for use in the identification of sensory data is a game-changer for a plethora of practical applications, such as e-nose systems,” said Anup Vanarse, Research Scientist at BrainChip. “This latest research paper shows how Akida’s olfactory analysis technology allows for efficient and accurate detection of various strains of bacteria in blood to help with important disease diagnosis. Incorporating beneficial AI within sensory devices will provide the means for massive breakthroughs in the healthcare industry.”
I understand it's as Brainchip Research has came to this conclusion of by using AKD1000 to analyse the blood samples and achieve 97.42% again the Örebro University paper.
Learning
I think you misunderstood my post: I never claimed the media release said there was a collaboration between our company and Örebro University. In fact, I myself quoted part of the research paper to prove my point. My original post was in reaction to two forum members who may not have actually read the media release, but had obviously concluded just from seeing that tweet displaying both logos that it was about some kind of collaboration with Örebro University researchers utilising Akida.
I was simply trying to stick to the facts and correct that assumption. And that’s why I called the tweet ‘somewhat misleading’, as IMO it is understandable why someone just looking at the tweet could come to that conclusion and might interpret too much into it. And these kind of misinterpretations will ultimately play into the hands of downrampers. That’s all. Apart from that ambiguous use of Örebro University’s coat of arms, I love the announcement.
Cheers,
Frangipani
P.S.: It just occurred to me that ‘misleading’ may not have been the ideal choice of adjective here, as it could imply intention?
The word I would use in German (‘missverständlich’) is much more neutral.
DerAktienDude
Regular
Obviously it’s good that BRN is updating us regarding olfactory devices but it’s nothing new. I don’t get the excitement. Back then we were debating about the possibility of having a product launched this year. Doing studies with other universities or using their samples is no valuable progress at this point.
For the newer investors this is/ was what I’m talking about.
For the newer investors this is/ was what I’m talking about.
... and this is just one small problem with which AGI will have to wrestle.Hi Learning,
I think you misunderstood my post: I never claimed the media release said there was a collaboration between our company and Örebro University. In fact, I myself quoted part of the research paper to prove my point. My original post was in reaction to two forum members who may not have actually read the media release, but had obviously concluded just from seeing that tweet displaying both logos that it was about some kind of collaboration with Örebro University researchers utilising Akida.
I was simply trying to stick to the facts and correct that assumption. And that’s why I called the tweet ‘somewhat misleading’, as IMO it is understandable why someone just looking at the tweet could come to that conclusion and might interpret too much into it. And these kind of misinterpretations will ultimately play into the hands of downrampers. That’s all. Apart from that ambiguous use of Örebro University’s coat of arms, I love the announcement.
Cheers,
Frangipani
P.S.: It just occurred to me that ‘misleading’ may not have been the ideal choice of adjective here, as it could imply intention?
Tothemoon24
Top 20
Great little 
for the mighty chip
Thinking at the edge: How neuromorphic computing empowers edge devices
Nov 29, 2023 | Abhishek JadhavCATEGORIES Edge Computing News | Hardware
As experts in the industry believe that Moore’s Law and Dennard scaling is coming to an end, it becomes clear that the traditional approach to improving computer performance has reached its limits. To address these limitations, neuromorphic computing has emerged as a promising solution. Coined by Carver Mead in the late 1980s, the term “neuromorphic” refers to a computing approach inspired by the brain, combining analog and digital components.
Over recent years, the field of neuromorphic computing has expanded, particularly in its application to deep learning and machine learning. When we compare neuromorphic computers to von Neumann machines, which use separate CPUs and memory units, running programs based on explicit instructions, the difference is significant. Neuromorphic computers are inspired from neurons and synapses.
One key advantage of neuromorphic hardware lies in its integration of processing and memory, which helps mitigate the von Neumann bottleneck that can slow down the data processing speed. This integration also reduces the need for frequent data access from main memory, a common operation in conventional computing systems that consumes a substantial amount of energy.
In this article, we will explore the convergence of neuromorphic computing with edge devices and explore its potential benefits in distributed edge computing. Additionally, we will examine industry contributions to the field of neuromorphic computing within the specific context of edge infrastructure. Finally, we will discuss the market opportunities and the future prospects of this advanced computing technology.
Neuromorphic computing meets edge devices
One of the most interesting aspects of neuromorphic computing lies in its ability to operate with low power consumption. This capability can be attributed to two key factors – the event-driven nature of neuromorphic systems and their massive parallelism. Unlike traditional computing hardware, which continuously consumes power, neuromorphic computers only engage in computations when there are specific events or spikes to process. Its inherent parallelism allows many neurons and synapses to operate simultaneously, meaning that only a small portion of the system is active at any given time, while the rest remains idle.Both of these factors have significant implications for the efficiency and effectiveness of computing in edge environments. The event-driven characteristic is particularly advantageous when dealing with thousands of edge devices deployed in remote settings where data is generated sporadically or in response to specific events. For instance, in scenarios such as oil and gas plants, sensors may only produce data when certain parameters exceed normal values, or surveillance cameras may transmit data upon detecting motion. Event-driven processing aligns well with the need for efficient utilization of computational resources and the minimization of power consumption, which is the case of edge computing environments.
Similarly, the concept of massive parallelism holds promise for edge computing. Many edge devices now incorporate multi-core processors or specialized AI accelerators, enabling them to engage in parallel processing of tasks. Edge computing can leverage this feature to execute resource-intensive AI computations concurrently, thereby delivering high performance and quick responses for mission-critical applications. The massive parallelism enables edge devices to reduce latency, provide real-time feedback, and take data-driven actions to enhance operational efficiency within the ecosystem.
Industry contributes to embedded intelligence at the edge
Initially, a significant portion of research and industrial efforts in the field of neuromorphic hardware primarily focused on large-scale implementations that weren’t particularly suitable for edge platforms. However, Intel disrupted this landscape by introducing Loihi, a neuromorphic computing hardware platform based on open-source software frameworks designed for the development of intelligent computing applications.Intel continued its development in advancing neuromorphic technology, which led to the launch of Loihi’s second-generation, which had been developed utilizing Intel’s 4th-generation pre-production process. In this iteration, the company introduced programmable neuron models and a generalized spike messaging system, thereby opening doors to a wide array of neural network models that can be trained in deep learning.
Another embedded manufacturer in the field of commercial neuromorphic computing hardware, BrainChip recently unveiled its second-generation Akida IP solution, built on the neuromorphic principles, with a claim of delivering low-power performance in compact edge devices. This new generation enhances energy efficiency by supporting 8-bit weights, activations, and long-range skip connections, thereby making complex neural networks feasible on edge devices.
Amid all the buzz around these developments in neuromorphic hardware, it is essential to consider their future in the context of the exponential growth of generative AI, which heavily relies on cloud computing resources. As the industry moves toward hybrid AI solutions, the demand for more capable and efficient computing at the network edge becomes increasingly evident.
Neuromorphic computing hardware, such as Akida, get attention for their temporal event-based neural networks that support vision transformers, thus ensuring high accuracy for large language models. The future of these advanced computing technologies holds promise as they play a key role in addressing the evolving landscape of AI and edge computing.
Outlook on neuromorphic computing at the edge
In its 2023 report, Gartner highlights four emerging technologies expected to disrupt industries over the next three to eight years, with neuromorphic computing occupying the top position. According to the market research firm, neuromorphic computing is identified as a crucial enabler that will make a significant impact on existing products and markets.While the continuous evolution of computing hardware is a given, experts believe that there are opportunities to achieve unprecedented levels of algorithmic performance, particularly in terms of speed and energy efficiency, through the utilization of neuromorphic computers. More specifically, graph algorithms and optimization tasks stand to benefit significantly from the extensive parallelism and event-driven operations inherent to neuromorphic computing.
It is anticipated that the growth of neuromorphic computing will play an important role in supporting the requirements of generative AI. The trajectory of neuromorphic computing’s future hinges on the maturation of the technology to meet the demands of the next generation of intelligent applications.
Good Morning Stan9614 & Fellow Chippers ,
Stan , thankyou for providing the above info.... explanation.... for the volume increase yesterday.
Found this article on MSCI which I found rather interesting.
Worth reading the whole article, but for the time poor amoungst us, my two takeaways from article...
1, MSCI acts as a base for ETFs, as of Q4 2022 there were $14,970,000,000,000.00
Or $14.97 TRILLION in assets under management benchmarked to the firms indexes.
2, Each index in the MSCI family is reviewed quarterly & rebalanced two times per year.
Thanks once again Stan.
MSCI: What Does It Stand for and Its Importance
MSCI is an investment research firm that provides indexes, portfolio risk and performance analytics, and governance tools to institutional investors.
Needless to say, Morgan Stanley Capital International ( MSCI ) analysis is held to a higher degree than the odd article written by the Fickle Pickle .
Regards,
Esq.
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Learning
Learning to the Top 🕵♂️
Hi Frangipani,Hi Learning,
I think you misunderstood my post: I never claimed the media release said there was a collaboration between our company and Örebro University. In fact, I myself quoted part of the research paper to prove my point. My original post was in reaction to two forum members who may not have actually read the media release, but had obviously concluded just from seeing that tweet displaying both logos that it was about some kind of collaboration with Örebro University researchers utilising Akida.
I was simply trying to stick to the facts and correct that assumption. And that’s why I called the tweet ‘somewhat misleading’, as IMO it is understandable why someone just looking at the tweet could come to that conclusion and might interpret too much into it. And these kind of misinterpretations will ultimately play into the hands of downrampers. That’s all. Apart from that ambiguous use of Örebro University’s coat of arms, I love the announcement.
Cheers,
Frangipani
P.S.: It just occurred to me that ‘misleading’ may not have been the ideal choice of adjective here, as it could imply intention?
The point I was making is the tweet/ media release wasn't 'missverständlich'. It's information (words) in the tweet/ media release that informative.
My apologies if I have misunderstood your post
.Learning
Ethinvestor
Regular
Where can you look up these infos about shorts ? Thx
East Coast time.
buena suerte :-)
BOB Bank of Brainchip
Wow what a day in the US !!!!
And positive for Europe
And positive for Europe
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buena suerte :-)
BOB Bank of Brainchip
ShortMan - Short position graph for IMU
Short position graph and statistics for IMU
Normally around 1 week old data!
But @ndefries has been providing us with previous days shorts % (Thanks for that)
buena suerte :-)
BOB Bank of Brainchip
This was from yesterday (always 1 day behind) Not showing any BRNShortMan - Short position graph for IMU
Short position graph and statistics for IMUwww.shortman.com.au
Normally around 1 week old data!
But @ndefries has been providing us with previous days shorts % (Thanks for that)
Renesas Electronics on LinkedIn: We are thrilled to share that we have designed and tested a 32-bit CPU…
We are thrilled to share that we have designed and tested a 32-bit CPU core based on the open-standard RISC-V instruction set architecture (ISA). We’re among…
RISC-V to the Core: New Horizons
As the RISC-V platform continues to gain momentum, Renesas has developed a RISC-V CPU to expand its IP portfolio and provide the industry’s broadest platform choice to customers.
Evermont
Stealth Mode
Interesting company and tech. Their move out of stealth mode was liked by Rob.
'Monumo is at the forefront of a new technology trend, doing for electric motors what AI has done for drug delivery and genetics - motors that will drive the 21st Century'
monumo.com
'Monumo is at the forefront of a new technology trend, doing for electric motors what AI has done for drug delivery and genetics - motors that will drive the 21st Century'
In the EV market, we are working to:
- deliver optimal motor system designs for electric vehicles of all kinds
- remove the need to use rare earth magnets
- reduce weight, cost and materials for the same performance
- improve recyclability
- achieve high efficiency at across drive cycles all operational speeds both low and high speeds
- solve the problem of overheating
Monumo can now optimise motor systems faster and better than any other company and we’re only just getting started... By running over 2,000,000 simulations a day, we’re creating disruptive motor system designs that are highly improbable to conceive by conventional means.
Reinventing Electric Motors - Monumo
Monumo is a deeptech engineering company focused on creating the world’s best electric motors.
buena suerte :-)
BOB Bank of Brainchip
Mea culpa
prəmɪskjuəs
Morning Buena suerte
Thinking mildly positive.
That big spike in volume yesterday has confused my charting prowess for a little while.
Positive finnish, up three cents i shall go with = $0.25 finnish.
Regards ,
Esq
Your enthusiasm is infectious Esky. Although I'm hoping it's not one of those nasty contagious varieties.
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