Well you asked where I was.....why?
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
RobjHunt
Regular
FWIW, TBH FMF, LOIHI is IMO MIA! HELLO AKIDA!Well, I guess the 1000 eyes search parameters just changed today
We know Loihi isn't commercial as yet and who knows, may only ever be a R&D function so....
Find any product references out there eventually, either consumer or enterprise, that specs maybe Intel digital neuromorphic or SNN, on device / chip learning, low bit weight etc and....well
Intel may also utilise this relationship as a market test as well, allowing them to guage market take up / penetration for a true neuromorphic IP..
FabricatedLunacy
Regular
RobjHunt
Regular
Soz, I didn’t mean to shout
alwaysgreen
Top 20
I'll be happy with 1 tenth of microsoft!I just want it to go to 10x Microsoft and then retire
Shouldn’t be too much to ask.
Fullmoonfever
Top 20
Haha...no probs.Soz, I didn’t mean to shout
Was just reading your post thinking...why's he yelling at me.
Figured not intential though.
Agree with what you're saying before too, I was just trying to point out as well that any commercial "Intel" neuromorphic refernced product find by the 1000 eyes could well be Akida behind the curtain.
RobjHunt
Regular
Not at all a tall order.I just want it to go to 10x Microsoft and then retire
Shouldn’t be too much to ask.
I’m sure. Maybe just not overnight
FabricatedLunacy
Regular
Yeah… I am just below 13k shares. So at least x0.5 or x1.0 MS would be nice
. In any case it will make me some money. That much I know…
SebThatGermanChap
Regular
Futures are starting to swing green for the US as well. Hopefully a great day tomorrow.
Bennysmadness
Regular
CISCO, WEBEX, VECTION TECHNOLOGIES & BRAINCHIP?
FabricatedLunacy
Regular
Dreams are nice but I don’t expect it to go 10x MS. I’d love it too. Like everyone here.Not at all a tall order.
I’m sure. Maybe just not overnight
If it goes to 0.5-1 of current MS the I’m more than happy.
Just use the search icon and look for Brainchip, it is just the collections of all the news.Brainchip appears at page 60 if anyone knows how to advance there quickly this might be interesting or not or already posted:
Processors Archives
www.edge-ai-vision.com
Regards
FF
AKIDA BALLISTA
RobjHunt
Regular
If memory serves, the masks for the tapeout were encrypted by Socionext, and, I'm guessing now, decrypted by the chip-making machines, but I don't know the details of how the decryption key is handled.
S Crow?
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wilzy123
Founding Member
alwaysgreen
Top 20
Maybe but it means we'll have a market cap of 180 billion USD and I'll be able to retire on a private island and bring all my friends and family along with me.
I don't need more than that
Townyj
Ermahgerd
Yep, they are the two. I had a 4 year window playing them both for a team called Oxygen (O2) - number #1 across AUS/NZ for a couple of years there. Before all the big money and attention. But we did have our games streamed live with commentators which was cool. 30-40 hour a week commitment.
Very cool that you did some clan work
Me and some mates got into ET pretty hardcore online. Solid game. From memory enjoyed beach storm and the truck/tank escort through the street/town.
Not sure if you remember 3FL/Westnet. Was an online admin for awhile. On the look out for cheaters/wall hackers etc. Was fun messing with the server settings.. no clipping etc. Hah.
I also remember O2 being big, so probably played around the same time. Around 2003 we started playing.
Anyway.. will shoosh now. Since its BRN only
haha
Fullmoonfever
Top 20
Ahh....hindsight is such a wonderful thing to give clues as to how long some things could have been brewing.
From a couple of months ago.
www.nextplatform.com
Software, Not Hardware, Will Drive Quantum and Neuromorphic Computing
Jeffrey Burt
2 months ago
As with the Quantum SDK, Intel initially had no intention of creating a software framework out of the software developed and used in-house for neuromorphic computing, according to Mike Davies, senior principal engineer and director of the chip maker’s Neuromorphic Computing Lab. However, it became clear that the lack of a general-purpose software stack was hobbling the industry’s efforts in the field.
“Until Lava, it’s been very difficult for groups to build on other groups’ results even within our own community because software tends to be very siloed, very laborious to construct these compelling examples,” Davies told journalists. “But as long as those examples are developed in a way that cannot be readily transferred between groups and you can’t design those at a high level of abstraction, it becomes very difficult to move this into the commercial realm where we need to reach a broad community of mainstream developers that haven’t spent years doing PhDs in computational neuroscience and neuromorphic engineering.”
Lava is an open-source framework with permissive licensing, so the expectation is that other neuromorphic chip manufacturers – which include the likes of IBM, Qualcomm, and BrainChip – will port Lava to their own frameworks. It’s not proprietary, though Intel is the major contributor to it, Davies said.
The latest iteration of Lava is version 0.5, though the company has been steadily rolling out releases of Lava to GitHub, he said. It also illustrates, along with circuit improvements in Loihi 2, the advancements made in the chip for running deep feed forward neural networks, a basic type of network used in some supervised learning uses. There are fewer chip resources needed to support these networks, the inference operation is up to 12X faster than Loihi 1, and 50X more energy efficient.
These aren’t the types of workloads that Loihi was designed to support – GPUs and other accelerators can run deep feed forward networks well. And Intel is aware of this. “It is very important that we support feedforward neural networks of the kind that everyone is using and loves today because they’re just an important building block for future neuromorphic applications.” Davies said.
From a couple of months ago.
Software, Not Hardware, Will Drive Quantum and Neuromorphic Computing
In emerging computing fields like quantum computing and neuromorphic computing, hardware usually grabs the lion’s share of attention. You can see the
www.nextplatform.com
Software, Not Hardware, Will Drive Quantum and Neuromorphic Computing
Jeffrey Burt
2 months ago
As with the Quantum SDK, Intel initially had no intention of creating a software framework out of the software developed and used in-house for neuromorphic computing, according to Mike Davies, senior principal engineer and director of the chip maker’s Neuromorphic Computing Lab. However, it became clear that the lack of a general-purpose software stack was hobbling the industry’s efforts in the field.
“Until Lava, it’s been very difficult for groups to build on other groups’ results even within our own community because software tends to be very siloed, very laborious to construct these compelling examples,” Davies told journalists. “But as long as those examples are developed in a way that cannot be readily transferred between groups and you can’t design those at a high level of abstraction, it becomes very difficult to move this into the commercial realm where we need to reach a broad community of mainstream developers that haven’t spent years doing PhDs in computational neuroscience and neuromorphic engineering.”
Lava is an open-source framework with permissive licensing, so the expectation is that other neuromorphic chip manufacturers – which include the likes of IBM, Qualcomm, and BrainChip – will port Lava to their own frameworks. It’s not proprietary, though Intel is the major contributor to it, Davies said.
The latest iteration of Lava is version 0.5, though the company has been steadily rolling out releases of Lava to GitHub, he said. It also illustrates, along with circuit improvements in Loihi 2, the advancements made in the chip for running deep feed forward neural networks, a basic type of network used in some supervised learning uses. There are fewer chip resources needed to support these networks, the inference operation is up to 12X faster than Loihi 1, and 50X more energy efficient.
These aren’t the types of workloads that Loihi was designed to support – GPUs and other accelerators can run deep feed forward networks well. And Intel is aware of this. “It is very important that we support feedforward neural networks of the kind that everyone is using and loves today because they’re just an important building block for future neuromorphic applications.” Davies said.
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