BRN Discussion Ongoing
- Thread starter TechGirl
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MDhere
Top 20
Sorry i just have to laugh how people think this is a bad thing lol We are securing funding for the further development and progress in response to customer engagements. This is all positive.
Under the agreement the max number of shares to be issued is 40mil. this is max not min. and the amount of $20mil provided is a min of $20mil. Pager 1 of 5 Appendix 3B Maximum Number of +securities to be issued BRN ORDINARY FULLY PAID 40,000,000 So from this reading Brainchip will get $20 mil for an exchange of max 40mil shares, which means they could get $20 million for less number of shares issued.
So if the price vwap (91.5% of that) equates to say $2 (rounding to make it easy) by the time Brainchip make the call LDA would receive 10 mil shares for $20 mil dollars. Again simple math. but hey i'm no genius.
of course imo
Under the agreement the max number of shares to be issued is 40mil. this is max not min. and the amount of $20mil provided is a min of $20mil. Pager 1 of 5 Appendix 3B Maximum Number of +securities to be issued BRN ORDINARY FULLY PAID 40,000,000 So from this reading Brainchip will get $20 mil for an exchange of max 40mil shares, which means they could get $20 million for less number of shares issued.
So if the price vwap (91.5% of that) equates to say $2 (rounding to make it easy) by the time Brainchip make the call LDA would receive 10 mil shares for $20 mil dollars. Again simple math. but hey i'm no genius.
of course imo
Space Cadet
Regular
Yes Larry. Agree. Don't want to ever let finances get low. Prophesee is a good example. A little dilution in the big scheme of things is ok with me. JIMO. Bloodsuckers and big boys can destroy you if you have a weak balance sheet. Keep on cruising on.
SC
SC
7für7
Top 20
No serious investor would think this is bad.. only people who let influence their mindset of the rubbish posted by crappers
ndefries
Regular
The more i look into 6g the more it is opening up significant opportunities. a simple chatgpt question really shows the opportunity areas.
so when is 6g coming?
will 6g rely on neuromorphic chips
ChatGPT said:
The development of 6G (sixth-generation wireless technology) will likely incorporate a range of advanced computing and networking technologies, potentially including neuromorphic chips, though not exclusively. Here's an exploration of how 6G and neuromorphic chips might intersect:
What 6G Envisions
- Massive Data Processing
- 6G networks are expected to deliver data rates up to 1 Tbps and latency as low as 0.1 milliseconds, far beyond 5G's capabilities.
- Supporting such performance requires distributed computing, real-time decision-making, and energy-efficient data processing, particularly at the edge.
- AI-Driven Networks
- AI is anticipated to play a central role in 6G, powering tasks like network optimization, resource allocation, and predictive maintenance.
- Real-time AI-based processing at the edge will be crucial to reduce latency and improve efficiency.
- IoT Expansion
- With trillions of interconnected devices, 6G will rely on intelligent edge devices that can process and respond to sensory data locally, without needing constant communication with centralized servers.
Potential Role of Neuromorphic Chips in 6G
Neuromorphic chips, like those from BrainChip's Akida or Intel's Loihi, could support 6G development in several ways:- Energy-Efficient Edge AI
- Neuromorphic chips are designed for low-power, event-driven processing, making them ideal for edge devices in IoT systems connected to 6G networks.
- They could enable real-time AI in devices like smart sensors, drones, or autonomous vehicles without relying heavily on cloud infrastructure.
- Dynamic Adaptation
- Neuromorphic hardware excels at on-device learning and adaptation, allowing 6G-enabled devices to improve their performance over time and adjust to changing conditions without external input.
- Sensory Data Processing
- 6G is expected to handle a variety of sensory inputs, including visual, auditory, and haptic data. Neuromorphic chips are particularly suited to process such multi-modal data efficiently.
- Reduced Latency
- By performing computations locally and reducing reliance on centralized data centers, neuromorphic chips could help achieve the ultra-low latency goals of 6G.
- Autonomous Systems and Robots
- Autonomous systems connected through 6G could benefit from the brain-inspired architectures of neuromorphic chips for decision-making and contextual awareness.
Challenges and Limitations
- Integration with Existing Systems
- Neuromorphic computing is still in its early stages, and integrating it into 6G infrastructure would require significant development in both hardware and software.
- Task-Specific Nature
- Current neuromorphic chips excel in specific areas (e.g., pattern recognition) but may not yet offer the general-purpose capabilities required for all aspects of 6G networks.
- Competition from Other Technologies
- Other emerging technologies, such as quantum computing, advanced GPUs, and TPUs, may also play significant roles in 6G, potentially overshadowing the role of neuromorphic chips.
- Scalability
- Scaling neuromorphic chips to support the massive infrastructure required for 6G networks presents a technical challenge.
Conclusion
Neuromorphic chips are well-suited to address some of the critical needs of 6G, particularly in low-power edge computing, real-time AI, and adaptive systems. While they may not be the backbone of 6G, they are likely to play a complementary role alongside other advanced computing technologies. As 6G evolves, neuromorphic chips could become a vital component in achieving the ambitious goals of this next-generation network.
gilti
Regular
Interesting action
Since the start of 2024 and the first 3 days of 2025 a total of daily shorts is 337,163,727 for a daily average (262 days) of 1,286,884 per day.
Since the 10.12.2024 announcement of the US Air Research Lab short equal 91,6743,064 for a daily average (17 days) of 5,392,533 per day.
This is even more stark if you remove the after announcement short spree 2245,690,663 for 245 days at an average of 1,002,003 per day.
What the market is saying is that after 2 good announcements shorter activity went up by 5.4 times.
BOLLOCKS. These pricks KNEW that there would be another funding round.
The level playing field has a decided tilt in the shorter direction.
Rant over
Since the start of 2024 and the first 3 days of 2025 a total of daily shorts is 337,163,727 for a daily average (262 days) of 1,286,884 per day.
Since the 10.12.2024 announcement of the US Air Research Lab short equal 91,6743,064 for a daily average (17 days) of 5,392,533 per day.
This is even more stark if you remove the after announcement short spree 2245,690,663 for 245 days at an average of 1,002,003 per day.
What the market is saying is that after 2 good announcements shorter activity went up by 5.4 times.
BOLLOCKS. These pricks KNEW that there would be another funding round.
The level playing field has a decided tilt in the shorter direction.
Rant over
Pom down under
Top 20
Back to your normal tricks just hope you made plenty money today or you managed to close your short position out as this is only going in one direction and that’s
I don't necessarily think this is a bad thing, it's just annoying when they keep raising capital after we move up by tiny amount which kinda signals that any significant revenues won't be coming any time soon... and kinda kills the uptrend (hopefully Mr market continues to accumulate and run pass this)..
Also, IMO, the maximum of shares, 40 mill, relates to the listing rule 7.1 which limits the number of shares to be issued without shareholders approval to be under 15% of total issued capital. So if the management thinks we need 80 mill (* the 91.5% of 80 mill, I cbb calculating) and share price is 2 dollars (the average), they can issue 40 mill shares before the due date. But even if they don't need 20 mill, because they somehow landed a massive deal, they still need to draw down additional 20 mill.
Imo
Also, IMO, the maximum of shares, 40 mill, relates to the listing rule 7.1 which limits the number of shares to be issued without shareholders approval to be under 15% of total issued capital. So if the management thinks we need 80 mill (* the 91.5% of 80 mill, I cbb calculating) and share price is 2 dollars (the average), they can issue 40 mill shares before the due date. But even if they don't need 20 mill, because they somehow landed a massive deal, they still need to draw down additional 20 mill.
Imo
Tothemoon24
Top 20
BrainChip (ASX:BRN), a producer of neuromorphic artificial intelligence IP, has announced its fourth amendment to the put option agreement with LDA Group, an affiliate of LDA Capital.
The amendment extends the agreement, offering BrainChip access to necessary capital until June 2026.
This brings the total funding available under the POA to $140 million, with an increase of $37 million from previous commitments.
Since the inception of the POA in August 2020, the company has drawn approximately $68 million in gross proceeds.
A crucial aspect of the amendment is the addition of a minimum drawdown amount of $20 million, to be drawn by June 30, 2026.
BrainChip will issue 40 million collateral shares by the earlier of the next capital call or June 30, 2025, adhering to Listing Rule 7.1 placement capacity.
"No additional fees are incurred under the amendment of the POA. The capital raised will drive the development of Akida 2.0 products and support commercialisation and expansion efforts," stated Sean Hehir, CEO of BrainChip.
Hehir elaborated, "With the growing momentum of our 2nd generation AkidaTM products, and our exceptional TENNS solutions which excel in streaming data at the edge, we recognise the need to accelerate investments to drive growth and solidify our market leadership."
"While maintaining a prudent approach to cash management, having access to funding from our well-respected partners at LDA Group, enhances our ability to ensure business continuity and remain competitive against well-capitalized industry peers," the executive added.
Afternoon Mea culpa ,
All looks good , would appear the news has been absorbed & business as usual.
BRING ON CES WITH SOMETHING TO KNOCK OUR SOCKS OFF
Regards,
Esq.
Fullmoonfever
Top 20
In my opinion, the dilution caused by the LDA is minimal and almost negligible in terms of percentage of the total shares in the registry. i.e. the drop in SP is disproportionate to the dilution caused by the LDA. The market has over-reacted in the morning. Also, I think more access to capital is actually a good thing for BrainChip - especially at the early stage of our commercialization journey.
Haha... I am super happy today!!! I have taken advantage of the opportunity to buy more BrainChips at a discount price
I feel sorry for those who fell into the shorters' scare tactics and sold out at the low 30s today...
CES2025 is going to start at 4AM NSW time (approx 12 hours from now)!!! Bring it on Brainchip!!!!
We will probably see this flying in the next couple of months!
All in my opinion only!!! DYOR!!!
Good luck to all long term investors!!!
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Can't recall if we've seen this. It's the less-spoken-of Akida 2 feature of Long Skip:
US2024378055A1 METHODS AND SYSTEM FOR IMPROVED PROCESSING OF SEQUENTIAL DATA IN A NEURAL NETWORK
Disclosed is a system that includes a processor configured to process data in a neural network and a memory associated with a primary flow path and at least one secondary flow path within the neural network. The primary flow path comprises one or more primary operators to process the data and the at least one secondary flow path is configured to pass the data to a combining operator by skipping the processing of the data over the primary flow path. The processor is configured to provide the primary flow path and the at least one secondary flow path with a primary sequence of data and a secondary sequence of data respectively such that the secondary sequence of data being time offset from the processed primary sequence of data.
In a multi-layer NN, a word or object may be classified at an intermediate layer, making it unnecessary to process the corresponding input signals (activations) in subsequent layers, so the classified word/object is passed to the end layer. In order to compensate for the time saved in skippng layers, a compensatory delay is imposed, so the information at the output is synchronized with the input activations. This can speed upprocessing and save power by avoiding unnecessary processing, and this in turn can avoid "hallucinations".
This can be used in NLP (natural language processing) or in object tracking in silicon, relieving the CPU of these tasks after the words/objects have been classified by Akida.
US2024378055A1 METHODS AND SYSTEM FOR IMPROVED PROCESSING OF SEQUENTIAL DATA IN A NEURAL NETWORK
Disclosed is a system that includes a processor configured to process data in a neural network and a memory associated with a primary flow path and at least one secondary flow path within the neural network. The primary flow path comprises one or more primary operators to process the data and the at least one secondary flow path is configured to pass the data to a combining operator by skipping the processing of the data over the primary flow path. The processor is configured to provide the primary flow path and the at least one secondary flow path with a primary sequence of data and a secondary sequence of data respectively such that the secondary sequence of data being time offset from the processed primary sequence of data.
In a multi-layer NN, a word or object may be classified at an intermediate layer, making it unnecessary to process the corresponding input signals (activations) in subsequent layers, so the classified word/object is passed to the end layer. In order to compensate for the time saved in skippng layers, a compensatory delay is imposed, so the information at the output is synchronized with the input activations. This can speed upprocessing and save power by avoiding unnecessary processing, and this in turn can avoid "hallucinations".
This can be used in NLP (natural language processing) or in object tracking in silicon, relieving the CPU of these tasks after the words/objects have been classified by Akida.
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So when do you think Nvidia will make a takeover offer for BRN so it can dominate the AI at the edge as well? Surely it has to come.
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