AusEire
Founding Member. It's ok to say No to Dot Joining
He didn't
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
DollazAndSense
Regular
I'm surprised people actually care what another adult does with their own money.
I value FF's contributions. But worshipping the bloke to the point it matters to you personally if he trades or not, is not healthy at all.
JoMo68
Regular
Is it not FF’s own business whether he chooses to sell or buy shares!?
Correct me if I am wrong but 22.5 per share means around 30 bill market cap when ARM was valuated for around 50 bill even though it has deals with pretty much every manufacturer
I hope one day we will hit 5 dollarrrrr
I know adult people can do what so ever he is she choose to do. I am not saying if he choose to sell or what ever he choose to do I am only saying i am surprised to hear it.
Yes its his own business i am not questioning him i am just saying i am surprised. We live in Clown World at the moment words are taken in different text
Bravo
If ARM was an arm, BRN would be its biceps💪!
This is abstracted from links on the Brainchip - Products - Akida IP page.
Cambrian AI Research looks like a hired HiTech publicist, but that does not detract from the fact that it was reported last month that TeNNs has been tested against the Prophesee Automotive detection dataset. Nor does it detract from the potential for Akida 2 with TeNNs to bring GenAI capabilities to the edge. The paper stresses the contribution of TeNNs to the improved functioning of Akida 2.
We've got a tiger by the tail!
https://brainchip.com/akida-foundations/
https://cambrian-ai.com/wp-content/uploads/2023/08/BrainChip-Sees-Gold-Final_2.pdf
...
TENNs have demonstrated state-of-the-art performance across various domains of sequential data, as highlighted in BrainChip’s recent white paper, “Temporal Eventbased Neural Networks: A New Approach to Temporal Processing.” Notable achievements include Raw Audio Speech Classification on the 10-Class Speech Classification SC10 dataset, Vital Signs Prediction on the BIDMC dataset, 2D Object Detection on the KITTI Vision Benchmark Suite (frame-based camera video), and 2D Object Detection on the Event-Based Prophesee 1 Megapixel Automotive Detection Dataset.
TENNs offer superior performance with a fraction of the computational requirements and significantly fewer parameters than other network architectures. This efficiency makes them an elegant solution for highly accurate models that support video and time series data at the Edge. It looks extremely attractive on raw signal data, which it can consume directly without needing DSP/filtering, making exceptionally compact audio management applications, including denoising. The MetaTF tools that plug into existing frameworks like TensorFlow and formats like ONNX simplify model evaluation, development, and optimization. (
The second-generation Akida processor IP is available now from BrainChip for inclusion in any SoC and comes complete with a software stack tuned for this unique architecture. We encourage companies to investigate this technology, especially those implementing time series or sequential data applications. Given that GenAI and LLMs generally involve sequence prediction, and advances made for pre-trained language models for event-based architectures with SpikeGPT, the compactness and capabilities of BrainChip’s TENNs and the availability of Vision Transformer in second-generation Akida could facilitate more GenAI capabilities at the Edge.
Cochlear implants are a use case for "exceptionally compact audio management applications, including denoising."
With all the hoo-ha about ChatGPT, when the world wakes up to the generative AI capabilities of Akida, the share price may well rise above a quarter.
Then there are the suggested use cases, and it is interesting to link these with known or putative EAPs.
...
1. Financial Analysis: Time-series analysis is extensively used in finance to study stock market trends, analyze economic indicators, and forecast future market conditions. It helps model asset prices, trends, risk assessment, and portfolio optimization.
2. Demand Forecasting: Sequential analysis is crucial in demand forecasting for retail, supply chain management, and manufacturing industries. By analyzing historical sales or demand data, businesses can predict future demand patterns and optimize their production, inventory, and supply chain accordingly.
3. Predictive Maintenance: Predictive maintenance can monitor equipment and machinery in real-time. Analyzing sensor data and historical patterns can help detect anomalies and predict potential failures, enabling proactive maintenance and minimizing downtime.
4. Energy Consumption Analysis: Utilities and energy companies use time-series analysis to analyze energy consumption patterns, identify peak demand periods, and optimize energy generation and distribution. It aids in load forecasting, energy pricing, and demand-side management.
5. IoT Sensor Data Analysis: With the proliferation of Internet of Things (IoT) devices, time-series analysis is widely used to analyze sensor data. It helps monitor and control smart homes, smart cities, environmental monitoring, and industrial processes.
We know of predictive maintenance (AILabs, Teksum), and IoT sensor data analysis covers a multitude of known applications.
I'm intrigued by the Financial Analysis and Demand Forecasting applications. The Energy Consumption Analysis is a tough one, but the answer is "Don't let economic rationalists design your electricity supply system."
Cambrian AI Research looks like a hired HiTech publicist, but that does not detract from the fact that it was reported last month that TeNNs has been tested against the Prophesee Automotive detection dataset. Nor does it detract from the potential for Akida 2 with TeNNs to bring GenAI capabilities to the edge. The paper stresses the contribution of TeNNs to the improved functioning of Akida 2.
We've got a tiger by the tail!
https://brainchip.com/akida-foundations/
BrainChip Sees AI Gold in Sequential Data Analysis at the Edge
Aug 21, 2023https://cambrian-ai.com/wp-content/uploads/2023/08/BrainChip-Sees-Gold-Final_2.pdf
...
TENNs have demonstrated state-of-the-art performance across various domains of sequential data, as highlighted in BrainChip’s recent white paper, “Temporal Eventbased Neural Networks: A New Approach to Temporal Processing.” Notable achievements include Raw Audio Speech Classification on the 10-Class Speech Classification SC10 dataset, Vital Signs Prediction on the BIDMC dataset, 2D Object Detection on the KITTI Vision Benchmark Suite (frame-based camera video), and 2D Object Detection on the Event-Based Prophesee 1 Megapixel Automotive Detection Dataset.
TENNs offer superior performance with a fraction of the computational requirements and significantly fewer parameters than other network architectures. This efficiency makes them an elegant solution for highly accurate models that support video and time series data at the Edge. It looks extremely attractive on raw signal data, which it can consume directly without needing DSP/filtering, making exceptionally compact audio management applications, including denoising. The MetaTF tools that plug into existing frameworks like TensorFlow and formats like ONNX simplify model evaluation, development, and optimization. (
The second-generation Akida processor IP is available now from BrainChip for inclusion in any SoC and comes complete with a software stack tuned for this unique architecture. We encourage companies to investigate this technology, especially those implementing time series or sequential data applications. Given that GenAI and LLMs generally involve sequence prediction, and advances made for pre-trained language models for event-based architectures with SpikeGPT, the compactness and capabilities of BrainChip’s TENNs and the availability of Vision Transformer in second-generation Akida could facilitate more GenAI capabilities at the Edge.
Cochlear implants are a use case for "exceptionally compact audio management applications, including denoising."
With all the hoo-ha about ChatGPT, when the world wakes up to the generative AI capabilities of Akida, the share price may well rise above a quarter.
Then there are the suggested use cases, and it is interesting to link these with known or putative EAPs.
...
1. Financial Analysis: Time-series analysis is extensively used in finance to study stock market trends, analyze economic indicators, and forecast future market conditions. It helps model asset prices, trends, risk assessment, and portfolio optimization.
2. Demand Forecasting: Sequential analysis is crucial in demand forecasting for retail, supply chain management, and manufacturing industries. By analyzing historical sales or demand data, businesses can predict future demand patterns and optimize their production, inventory, and supply chain accordingly.
3. Predictive Maintenance: Predictive maintenance can monitor equipment and machinery in real-time. Analyzing sensor data and historical patterns can help detect anomalies and predict potential failures, enabling proactive maintenance and minimizing downtime.
4. Energy Consumption Analysis: Utilities and energy companies use time-series analysis to analyze energy consumption patterns, identify peak demand periods, and optimize energy generation and distribution. It aids in load forecasting, energy pricing, and demand-side management.
5. IoT Sensor Data Analysis: With the proliferation of Internet of Things (IoT) devices, time-series analysis is widely used to analyze sensor data. It helps monitor and control smart homes, smart cities, environmental monitoring, and industrial processes.
We know of predictive maintenance (AILabs, Teksum), and IoT sensor data analysis covers a multitude of known applications.
I'm intrigued by the Financial Analysis and Demand Forecasting applications. The Energy Consumption Analysis is a tough one, but the answer is "Don't let economic rationalists design your electricity supply system."
BigDonger101
Founding Member
Lolci also lied about what price she sold. Lolci tries to make it out like she sold them all at 2.34.Interestingly enough lolci LOL'd all the way to the bank while the holders HODL'd all the way to 25 cents
She sold majority at 90 cents, sold a small parcel at 1.70/1.80.
She likes anonymous posters blowing smoke up her A$$ to fuel her ego.
It's great to watch lol
BaconLover
Founding Member
Not any different to some who have spread lies around here.
As for Dolci, still selling majority at 90 cents and parcels at 1.70/1.80 sounds like a win.
Our price today is 25 cents. Pretty huge margin. Credit where it is due.
Townyj
Ermahgerd
I hope all Australians vote YES to this Referendum. I will tell you my story and share why I think you should too.
Bravo all well and good you wanna vote your way... But whats this got to do with BRN..??
On another note....
People are way to disgruntled and pissed off. Take some time off.. Its like Social Media taking over and controlling peoples emotions. not healthy at all.
So much bickering. Sheesh
Last edited:
Rise from the ashes
Regular
Everyone we've taken the piss out of has essentially done better or has been correct unfortunately.
Damo4
Regular
Who cares?
I can't be bothered making that any more polite, and it's not a dig at you, but why would anyone care who was right or wrong on a forum?
The more time you spend thinking about someone else's investments, the less time you have to act on yours.
I've even seen people meat-riding lolci in this thread.
Wild!
Rise from the ashes
Regular
I'm happy for people to do better
But was just reading and plenty seem to care.
Lol meat riding
I like to keep stuff like that in memory and if they keep on being right. Might change my mindset on things
Damo4
Regular
I'll be honest I only learnt the term the other day hahahaI'm happy for people to do better
But was just reading and plenty seem to care.
Lol meat riding
Meat riding and glazing are rather funny ways to describe it.
Rise from the ashes
Regular
I edited my post also. Oh boy do I Google " glazing"
Learning
Learning to the Top 🕵♂️
Can our German friend assist! Mercedes won gold:
"Operation concept/ voice assistance"
With the Concept CLA, we know the some of technology transpired from the EQXX. And the auto motor und sport is in German. Can our German friends assist to see anything regarding the voice assistants, that Mercedes won gold is related to the EQXX.
www.linkedin.com
.
www.linkedin.com
Learning
"Operation concept/ voice assistance"
With the Concept CLA, we know the some of technology transpired from the EQXX. And the auto motor und sport is in German. Can our German friends assist to see anything regarding the voice assistants, that Mercedes won gold is related to the EQXX.
Magnus Östberg on LinkedIn: #automotorsport #leadincarsoftware | 15 comments
Gold twice! 🏆 Congratulations to our software and tech teams at Mercedes-Benz AG, as we won two of the car connectivity awards 2023, hosted by… | 15 comments on LinkedIn
.
Markus Schäfer on LinkedIn: #conceptclaclass #mercedesbenz #innovation #leadinelectric | 11 comments
𝘚𝘦𝘤𝘶𝘳𝘦. 𝘋𝘪𝘨𝘪𝘵𝘢𝘭. 𝘚𝘶𝘴𝘵𝘢𝘪𝘯𝘢𝘣𝘭𝘦. Those three words set the stage for this year’s AMS Congress in Stuttgart. They also lie at the heart… | 11 comments on LinkedIn
Learning
BaconLover
Founding Member
You can only meat ride FF on this forum, no one elseI'm happy for people to do better
But was just reading and plenty seem to care.
Lol meat riding
I like to keep stuff like that in memory and if they keep on being right. Might change my mindset on things
Rise from the ashes
Regular
Mate if I have some twisted nightmares tonight I'm finding youYou can only meat ride FF on this forum, no one else
Similar threads
