https://brainchipinc.com/brainchip-welcomes-eco-system-partner-doug-fairbairn-podcast-episode-16/
Megachips on the next podcast. Will be interesting hearing their perspective. Hopefully some pointers in where they are thinking of using Akida.
Good points. I wonder what the ideal ratio is for dollars spent R&D:Marketing:Admin?If I read and interpret it correctly, there are three things that I took away from this 4C.
It's unclear as to how much of the reported earnings from 2021 in the Annual Report consisted of payments from MegaChips, but I imagine it will be trickling in for the remainder of this year.
- While the company's expenses went up, it ended the quarter with more cash on hand than in the prior quarter, $31.2M as stated in the report.
- While revenues are low, I do not believe that they have realized all revenue from the MegaChips agreement which, according to their clarification, would aggregate to about $2M by the end of 2022.
- They spent more on R&D than I thought they would; I recall someone from BrainChip commenting in a presentation that they were focusing mainly on sales this year (which has also been sizeably budgeted).
I'm certainly not worried about their cash runway right now, they still can draw down from LDA capital if needed, but it doesn't seem that their increase in operational costs will be significantly outpacing their cash on hand.
For those who are long-term holders, I don't think there is anything to be overly concerned about. It seems from the R&D budget that they are taking the slowly-seeping competition (two main ones listed on BrainChip's slide in the neuromorphic arena) seriously and want to stay ahead in the game.
I'm looking forward to seeing how the technology changes over the next year, CES 2023 should be very interesting when it comes to how AI is starting to permeate everyday consumer products. As a side note, Virtual Reality became a consumer reality in 2016, and look how much the technology and popularity grew over the past six years.
so nice thank you all i´m proud to be here, when a day is dark you all put us up againSequitur Labs Collaborates with Lenovo to Protect AI Models at the Edge - SecEdge
Lenovo selects Sequitur Labs as the technology vendor of choice for protecting edge AI computing applications utilized as part of the Lenovo ThinkEdge™ SE70 platformwww.sequiturlabs.com
Interessant wie von telson auf einen Nvidia Jetson Artikel...... Partner ?
I hope we don’t get an announcement. If the way MegaChips, SiFive, Nviso and Mercedes are promoting Brainchip as the new sliced bread does not send up the price a further positive announcement will completely collapse market confidence. Let us all pray for no news. FFJust for fun I recon we going to open 6% down, dropping to 11% in the 1st hour followed by a recovery to 5.5% down at the end of the day. That’s unless we get an announcement, which is highly unlikely but possible
Not speculation just a thought to keep in mind when looking further into this. I mentioned a few days ago that MegaChips has listed as a prime target AKIDA for deep packet inspection.Sequitur Labs Collaborates with Lenovo to Protect AI Models at the Edge - SecEdge
Lenovo selects Sequitur Labs as the technology vendor of choice for protecting edge AI computing applications utilized as part of the Lenovo ThinkEdge™ SE70 platformwww.sequiturlabs.com
Interesting like from telson on an Nvidia Jetson article...... partners ?
Your wish is my command!Fire up your type-writer @Dhm, you may have to send an email to another author. The author says "only a few experimental chips such as SpiNNaker 1 and SpiNNaker 2, a 10 million core processor platform optimized for the simulation of spiking neural networks, exist."
This good part is that author also suggests "the future killer application for neuromorphic may not be in exascale systems but more in low-power oriented edge compute". "Killer" in this context is very good (as in "awesome"), not very bad (as in "murder").
He-he-he!
Extract
5. Neuromorphic Processors. It is possible to design artificial spiking neural networks or more generally, electronic components, in a manner that takes inspiration from the architecture of the human brain. Carver Mead first theorized about neuromorphic processors in the 80s. But still today, only a few experimental chips such as SpiNNaker 1 and SpiNNaker 2, a 10 million core processor platform optimized for the simulation of spiking neural networks, exist.
Neuromorphic computing seems very promising, but continues to require breakthroughs in model training, ML dev ops tools, and other technologies. We also need hardware that fits different use cases: wafer size chipset will not work for low-power oriented applications. Although neuromorphic research has mostly been targeted at exascale systems, it may make sense to concentrate as much energy on applications like ultra-low power keyword spotting, event detection for autonomous vehicle, or other data streaming processing use cases. Progress could come more quickly, and breakthrough concepts could be scaled up. The future killer application for neuromorphic may not be in exascale systems but more in low-power oriented edge compute.
Seven Hardware Advances We Need to Enable The AI Revolution
New architectures hold promise for low power, distributed AI.semiengineering.com
I hope we don’t get an announcement. If the way MegaChips, SiFive, Nviso and Mercedes are promoting Brainchip as the new sliced bread does not send up the price a further positive announcement will completely collapse market confidence. Let us all pray for no news. FF
Even my dog is prepared today
I think you need to post this add on HC and highlight the ‘I’m not going to hell option’ as there are many there that need to know about it.