BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
robsmark
Regular
We can’t go on forever without revenue. With the IP licences getting some age behind them, at some point they need to start yielding fruit, otherwise we have no business.
We can call those wankers, dumpsters, whatever for calling it out, but they aren’t wrong. Sadly, positive scientific papers and non-commercially binding partnerships will not build a company.
Damo4
Regular
I think the point was more we have 0 new licenses (to our knowledge) and neither Renesas or Megachips have announced they are currently selling their products with Akida in it. In fact they may never announce, it may just appear.
With that in mind, unless there is previous cash receipts owing from either license, or dev boards or EAP fee's etc, the receipts are going to be practically $0.
To speculate anything above that is either stupid or deliberately misleading.
Also a lack of sales is already being called out on days ending in a 'y', so the idea of a 4C being the catalyst for further criticism makes no sense either. It would be simply a reminder of what we are already knowing, day after day.
It's not a matter of whether it is good enough that BRN is yet to have cash receipts, my point is simply where in the world would it appear from?
Edit: Accidentally used the word revenue, instead of cash receipts, in one of the sentences.
Fixed now as people really should know the difference between the two, and what a 4C is for.
Last edited:
Bombersfan
Regular
You seem to have conveniently missed a few details. The 12months spend to Dec 31 last year was $13m, they said the $6m spend last qtr was a lot bigger than normal obviously for costs incurred for 1.5 and gen 2 tape out and prove outs. And also the LDA call wasn’t finished til after March 31 so $12m will be reported this qtr. Closing balance $17.7m last qtr plus $12.2m LDA money is $30m, minus an average quarter spend of say $4m leaves a closing balance of $26m. Give or take. Not as shocking as you are stating. So maybe 6 quarters. Will def need revenue/new licence fees soon but I think people should prepare for next to zero again this 4C.
"We can’t go on forever without revenue."
Yes but, electric cars have been around for a long long time. Then along comes someone to make it work as a desirable thing, and all of a sudden they are hot and they make the money.
We really need a business partnership ( where $ are spent on both sides, ASX announcements are made) to come up with that desirable thing.
ie we may have to give up something to be there enjoying the success they we deserve.
ie swap equity for revenue.
ie give MegaChips 8Mill shares to put akida into nintendo.
Yes but, electric cars have been around for a long long time. Then along comes someone to make it work as a desirable thing, and all of a sudden they are hot and they make the money.
We really need a business partnership ( where $ are spent on both sides, ASX announcements are made) to come up with that desirable thing.
ie we may have to give up something to be there enjoying the success they we deserve.
ie swap equity for revenue.
ie give MegaChips 8Mill shares to put akida into nintendo.
I agree, but times are tight, it's risky etc. So how can we de-risk it enough to make a MegaChips client commit? I think this is our problem in a nutshell. We love that we're bleeding edge but that's a 2 edged sword. Someone needs to take the risk. We need to choose - spend $ and back ourselves or hang tight and wait and hope..
Funded by the Engineering and Physical Sciences Research Council (EPSRC) and by the National Science Foundation (NSF) in the US, the project supposedly has the potential to revolutionise mobile healthcare, telecommunications and robotics.
Neuromorphic technology, we are told in a release from King’s College, can learn and adapt in real-time and is more energy efficient, and apparently this could lead to all sorts of new services and telecoms stuff. Intel Labs, Nvidia (partners not competitors right?
), and AccelerComm have been drafted in in order to ‘explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications
Neuromorphic systems and evolutionary AI - Thought Leadership
In the field of artificial intelligence, the idea of evolution is a critical one. The very concept of an AI algorithm is one that can grow, change, adapt, and
blogs.sw.siemens.com
Agree. Just don't want to die wondering. Hence give someone a sweetener to get something happening. Like 3 years license rebate for the first product on the market. We lose short term revenue but the upside is huge.
robsmark
Regular
Agreed - indicating that we should pay a customer (in shares or otherwise) with publicly funded money, to implement our tech into their device so they can sell it and make bank is absurd, desperate and laughable.What the f..k are you guys on about ......
Complete bullshit
It we’re adopting this model then I’ll personally sign an IP licence and take a few $M sign on bonus
Schnitzel lover
Regular
I think Brainchip comes into its own with AI becoming mainstream and cheaper. It’s still in the hype anything goes phase. Then the economics of making it widespread brings Brainchip into its element..
The evidence is overwhelming with all the wannabes and ingenious competition.
Xhosa12345
Regular
Cheers edited
rgupta
Regular
Before I share my belief let me tell everyone I am a holder.
Ok, my understanding is brainchip should not have launched akida 1000 in a hotch potch reason being there was no development environment, no modules were available but instead it was produced for EAP customers and they were not very interested.
Just think, if we were selling our kits but there was no ideas or support (how you can sell the same).
We sell two licences and it is taking too long to launch a product. I don't know what we're conditions of those licences but the hype created at that time is following us like anything.
I also assume LDN was axed for the same reason.
Going ahead I believe technology is real and revolutionary but if implementation is bad that can ruin any good product. So I assume management had taken note of failures and developing an ecosystem where after market services are available for a marketable product. And that is the only way to sell the product to right consumers. Right now edge impluse had developed some modules for retail customers and other small and big partners are working on the product. So I assume company is learning from mistakes and results will start getting visible by the time we launch akida 1500.
But definately if we cannot sell akida 1500 to retail customers that will be considered a big failure.
So still holding and have a full faith in technology but still believe there are always slips between the cup and lips.
So fingers crossed and hopefully mangement have a fool proof plan to implement things.
Very wisdom. Appreciate much. Thank you for your provision.
LexLuther77
Regular
At the 11th hour on the 31/7 no doubt
Easytiger
Regular
if no revenue, then cut costs and slow cash burn rate to ensure a product commercialises before next capital raise.
wilzy123
Founding Member
Frangipani
Top 20
Interesting read about the enormous potential neuromorphic computing holds “for faster and greener telecommunications technologies”:
18 July 2023
Two King’s engineers will lead a project aimed at developing computing technology inspired by the human brain for wireless communications.
Funded by the Engineering and Physical Sciences Research Council (EPSRC) and by the National Science Foundation (NSF) in the United States, the research will enable quicker and more energy efficient computing and telecommunications and allow better integration of AI into wireless communications. This could revolutionise the field of mobile healthcare, telecommunications and robotics.
Professor Osvaldo Simeone and Dr Bipin Rajendran from the Department of Engineering, alongside Professor Vincent Poor from Princeton University, will explore how brain-inspired or neuromorphic computing can be used in the transfer of information via telecommunications networks, serving as the basis for the emergence of new services in 6G networks.
Professor Simeone said:
"The global 5G rollout marks a shift in telecom systems, which are transforming in order to cater to the transmission of intelligence between machines."
“Conventional communications systems are designed to serve as generic bit pipes, transmitting and storing information in bits. This makes it impossible for existing telecommunication networks to adapt to new situations and to tailor their resource consumption to the semantics of the information being exchanged between end points.”
Dr Rajendran added:
“Neuromorphic systems are designed to emulate the behaviour of neural networks in the brain. Using Spiking Neural Networks (SNNs), a type of neural network model, neuromorphic technology transmits information through the occurrence of spikes."
"Neurons in SNNs gather signals over time and send out a spike when a certain threshold is reached. This way, SNNs allow for event-driven and efficient computations, as information is processed only when needed.”
Unlike traditional computers, neuromorphic technology can learn and adapt in real-time. Another significant advantage of neuromorphic computing, according to the researchers, is its energy efficiency. These two features make the integration of neuromorphic computing and telecommunications particularly promising, enabling the use of sophisticated artificial intelligence (AI) tools on mobile devices and systems, providing enhanced services and adapting to user needs.
To develop this cutting-edge technology, Professor Simeone and Dr Rajendran will work with world-leading industrial partners, including Intel Labs, NVIDIA, and AccelerComm. King’s researchers will use their expertise to explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications.
King's engineers to explore brain-inspired computing in 6G telecommunications
Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.
www.kcl.ac.uk
18 July 2023
King's engineers to explore brain-inspired computing in 6G telecommunications
Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.
Two King’s engineers will lead a project aimed at developing computing technology inspired by the human brain for wireless communications.
Funded by the Engineering and Physical Sciences Research Council (EPSRC) and by the National Science Foundation (NSF) in the United States, the research will enable quicker and more energy efficient computing and telecommunications and allow better integration of AI into wireless communications. This could revolutionise the field of mobile healthcare, telecommunications and robotics.
Professor Osvaldo Simeone and Dr Bipin Rajendran from the Department of Engineering, alongside Professor Vincent Poor from Princeton University, will explore how brain-inspired or neuromorphic computing can be used in the transfer of information via telecommunications networks, serving as the basis for the emergence of new services in 6G networks.
Professor Simeone said:
"The global 5G rollout marks a shift in telecom systems, which are transforming in order to cater to the transmission of intelligence between machines."
“Conventional communications systems are designed to serve as generic bit pipes, transmitting and storing information in bits. This makes it impossible for existing telecommunication networks to adapt to new situations and to tailor their resource consumption to the semantics of the information being exchanged between end points.”
Dr Rajendran added:
“Neuromorphic systems are designed to emulate the behaviour of neural networks in the brain. Using Spiking Neural Networks (SNNs), a type of neural network model, neuromorphic technology transmits information through the occurrence of spikes."
"Neurons in SNNs gather signals over time and send out a spike when a certain threshold is reached. This way, SNNs allow for event-driven and efficient computations, as information is processed only when needed.”
Unlike traditional computers, neuromorphic technology can learn and adapt in real-time. Another significant advantage of neuromorphic computing, according to the researchers, is its energy efficiency. These two features make the integration of neuromorphic computing and telecommunications particularly promising, enabling the use of sophisticated artificial intelligence (AI) tools on mobile devices and systems, providing enhanced services and adapting to user needs.
To develop this cutting-edge technology, Professor Simeone and Dr Rajendran will work with world-leading industrial partners, including Intel Labs, NVIDIA, and AccelerComm. King’s researchers will use their expertise to explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications.
In this story
Dr Bipin Rajendran
Reader in Engineering
Professor Osvaldo Simeone
Professor of Information EngineeringSimilar threads
