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CHIPS

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Braintonic

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I'd agree with you Droob.
I am normally not afraid to sell all my shares as I think the share price will tank after a quarterly with f all in it. I watch the volume traded regularly as well as the buyers verses selling ratio trying to predict when to buy back in or sell.
Risky, amateurish? Yes but I've done alright out of it in the past.
Over the last few months and especially this quarterly its been different.
Happy with Sean's interview with SDU and his mention of some news before the end of year (could be just another granted patent?) but still well aware there is a long way to go
Fwiw which isn't much I am in at the moment and buying more but that could all change by next week. 😉
 
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The sustained buying after another predominantly agreed pretty shite quarterly has Larry thinking this is more than just a pump and dump........Larry thinks there is something coming in the next week or two which will take us past the 50c mark.......in Larry's opinion


View attachment 72639

HAPPY AS LARRY
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Neuromorphic Computing Market worth $1,325.2 Million by 2030, at a CAGR of 89.7%​

08-11-2024 07:48 PM CET

Press release from: ABNewswire

Neuromorphic Computing Market
Neuromorphic Computing Market

The global Neuromorphic Computing Market in terms of revenue is estimated to be worth $28.5 million in 2024 and is poised to reach $1,325.2 million by 2030, growing at a CAGR of 89.7% during the forecast period.
According to a research report "Neuromorphic Computing Market [https://www.marketsandmarkets.com/M...idPR&utm_campaign=neuromorphiccomputingmarket] by Offering (Processor, Sensor, Memory, Software), Deployment (Edge, Cloud), Application (Image & Video Processing, Natural Language Processing (NLP), Sensor Fusion, Reinforcement Learning) - Global Forecast to 2030" The neuromorphic computing industry is expected to grow from USD 28.5 million in 2024 and is estimated to reach USD 1,325.2 million by 2030; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 89.7% from 2024 to 2030.

Growth in the neuromorphic computing industry is driven through the integration of neuromorphic computing in automotive and space operations. In space, where bandwidth is limited and the communication delay might be considered large, onboard processing capabilities are crucial. The neuromorphic processor analyzes and filters data at the point of collection, reducing the need to transmit large datasets back to Earth. whereas, in automobile sector, neuromorphic processors can make autonomous driving systems more responsive by onboard real-time processing with minimal latency so that safety is ensured along with efficiency.

Download PDF Brochure @ [https://www.marketsandmarkets.com/r...idPR&utm_campaign=neuromorphiccomputingmarket]

Browse 167 market data Tables and 69 Figures spread through 255 Pages and in-depth TOC on "Neuromorphic Computing Market"

View detailed Table of Content here -https://www.marketsandmarkets.com/Market-Reports/neuromorphic-chip-market-227703024.html [https://www.marketsandmarkets.com/M...idPR&utm_campaign=neuromorphiccomputingmarket]

[https://www.marketsandmarkets.com/M...idPR&utm_campaign=neuromorphiccomputingmarket]

By Offering, software segment is projected to grow at a high CAGR of neuromorphic computing industry during the forecast period.

The software segment is expected to grow at a fast rate in the forecasted period. Neuromorphic software has its roots in models of neural systems. Such systems entail spiking neural networks (SNNs), that attempt to replicate the properties of biological neurons in terms of their firing patterns. In contrast to the typical artificial neural networks using continuous activation functions, SNNs utilize discrete spikes for communication, a feature that is also found in the brain. With intelligence embedded directly into the edge devices and IoT sensors, the potential for neuromorphic systems to perform even the most complex tasks such as pattern recognition and adaptive learning with considerably less power consumption remains. This efficiency stretches the lifetime of device operations while cutting down on the overall energy footprint, thus spurring demand for neuromorphic software that can harness these benefits and optimize performance for real-world edge and IoT applications.

By deployment, cloud segment will account for the highest CAGR during the forecast period.

Cloud segment will account for the high CAGR in the forecasted period. Cloud computing benefits from offering central processing power, which enables large-scale computational resources and storage capacities accessible from remote data centers. This is useful because neuromorphic computing, has been very often associated with complex algorithms and large-scale data processing. In the cloud, such huge resources can be utilized to train neuromorphic models, run large-scale simulations, and process enormous datasets. The scalable infrastructure of cloud platforms allows neuromorphic computing applications to dynamically adjust resources according to demand. It is a key factor for the training and deployment of high-scale neuromorphic networks, as their computation requirements are considerable especially during peak loads, driving its demand in the market.

Natural language processing (NLP) segment is projected to grow at a high CAGR of neuromorphic computing industry during the forecast period.

Natural Language Processing (NLP) is a branch of artificial intelligence focused on giving computers the ability to understand text and spoken words in much the same way human beings can. NLP represents a promising application of neuromorphic computing, leveraging the brain- inspired design of spiking neural networks (SNNs) to enhance the efficiency and accuracy of language data processing. Low-power, high-performance solutions are required by the expanding demand for real-time efficient language processing in devices-from smartphones to IoT devices. Neuromorphic computing fits well within these requirements with its energy-efficient architecture. Progress over time with improvements in SNNs is also advancing its ability to approach complex NLP tasks, 👀 😊which are closer to being adapted for commercial and industrial markets 👀😊. SNNs provide improved energy efficiency, demonstrated through being able to achieve up to 32x better energy efficiency during inference and 60x during training compared with traditional deep neural networks, further underlines the benefits of adding neuromorphic computing to NLP systems. Besides cost-efficiency in the field of NLP systems, such efficiency enables deploying complex language models even on devices with reduced resources. This leads to making neuromorphic NLP applications even more relevant to wider adoption and growth.

Industrial vertical in neuromorphic computing industry will account for the high CAGR by 2030.

Industrial segment will account for the high CAGR in the forecasted period. In the industrial vertical, manufacturing companies use neuromorphic computing for developing and testing end products, manufacturing delicate electronic components, printing products, metal product finishing, testing of machines, and security purpose. Neuromorphic computing can be used in these processes to store the data in chips, and the images can be extracted from the devices for further use. Neuromorphic computing also helps monitor the condition of the machines by analyzing the previous signals and comparing them with current signals. These advantages lead to high demand for neuromorphic processors and software in industrial vertical.

Asia Pacific will account for the highest CAGR during the forecast period.

The neuromorphic computing industry in Asia Pacific is expected to grow at the highest CAGR due to a high adoption rate of new technologies in this region. High economic growth, witnessed by the major countries such as China and India, is also expected to drive the growth of the neuromorphic computing industry in APAC. View attachment 72632 BrainChip, Inc. (Australia) View attachment 72633 , SynSense (China), MediaTek Inc. (Taiwan), SAMSUNG (South Korea), Sony Corporation (Japan), are some of the key players providing neuromorphic hardware and software in the region. In China, Japan, South Korea, and Singapore, for instance, significant investments have been made in neuromorphic research and infrastructure. This has fostered close relationships between academia, industry, and government, facilitating major breakthroughs in machine learning, natural language processing, and robotics that have propelled the development of neuromorphic technologies.

Key Players

Key companies operating in the neuromorphic computing industry are Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), BrainChip, Inc. (Australia), SynSense (China), MediaTek Inc. (Taiwan), NXP Semiconductors (Netherlands), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), among others.

Bugger just getting 1% share of this. I want 2😉
 
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MrNick

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MrNick

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Fox151

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Don't blame me. Beachhead suck. Beach head, well, that's a different kinda suck. Use your space bar. Grammar saves lives...
 
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charles2

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Sosimple

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Event compute
 

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7für7

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Chip wars advance......

Cannot be good for Brainchip but maybe some see it differently(?)

I honestly don’t see why this would be bad for BrainChip. With the U.S. blocking TSMC from supplying certain chips to Huawei, it actually opens up more opportunities for BrainChip. Since l Akida isn’t tied up in these trade restrictions, they could attract more customers who are looking for alternatives to restricted suppliers. It seems like it could really boost BrainChip’s position in the market. Brainchip currently is not in the Chinese market with partnerships like Huawei … 🧐 I think it is positive just my personal opinion
 
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The buy and sell numbers are looking pretty good for a cracking week ahead
It would be good to see a quality announcement from management stating they have 4 contracts signed
And are super excited to see the progress of the company.

Slap me please I must be dreaming
 
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Guzzi62

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Chip wars advance......

Cannot be good for Brainchip but maybe some see it differently(?)

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.
 
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MegaportX

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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.
 
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Hi Dingo, I have heard the Circle8 is going very well exceeding expectations, have you heard any information.
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.
 
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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.



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.
 
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On BrainChip’s updated website I couldn’t find Mercedes Benz anywhere
Has anyone noticed this or have I missed it ??!
 
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Braintonic

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On BrainChip’s updated website I couldn’t find Mercedes Benz anywhere
Has anyone noticed this or have I missed it ??!
And Renesas?
 
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