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I wish I could paint like Vincent
Haven't read them yet but looks like a couple of relevant articles
7für7
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Don’t be fooled it’s a simple saying ..a kind of quote… nothing to do with Apple inc…
Bravo
If ARM was an arm, BRN would be its biceps💪!
Intel NPU Library v1.2 Adds Int4 Support & Performance Optimizations
Written by Michael Larabel in Intel on 5 June 2024 at 06:20 AM EDT. 4 Comments
Intel released a new version of its NPU Acceleration Library, the user-space Python library for leveraging the Neural Processing Unit (NPU) found within their Core Ultra "Meteor Lake" laptops and upcoming Lunar Lake and Arrow Lake hardware as well.
The Intel NPU Library makes it easy to exploit the potential of the NPU hardware on systems with the IVPU kernel driver present. Thanks to this library, in just a few lines of Python code it's possible to perform matrix multiplication on the NPU, compiling PyTorch models for the NPU, and even run Tiny Llama on the NPU.
Downloads and more details on the Intel NPU Library 1.2 release via GitHub.
BRN will not receive buyout proposals IMO until there is more certainy regarding the arrival of AI at the Edge and real growth appears.
To many uncertainties until then which is reflected in the SP at the moment.
Once Edge growth becomes exponential eyebrows will be raised and BRN will become a target.
If edge growth was known to be verysoon and known to be exponential very soon then the SP would right now be many, many times its current level.
overpup
Regular
Maybe they read Peter's article?Intel NPU Library v1.2 Adds Int4 Support & Performance Optimizations
Written by Michael Larabel in Intel on 5 June 2024 at 06:20 AM EDT. 4 Comments
Intel released a new version of its NPU Acceleration Library, the user-space Python library for leveraging the Neural Processing Unit (NPU) found within their Core Ultra "Meteor Lake" laptops and upcoming Lunar Lake and Arrow Lake hardware as well.
The Intel NPU Library makes it easy to exploit the potential of the NPU hardware on systems with the IVPU kernel driver present. Thanks to this library, in just a few lines of Python code it's possible to perform matrix multiplication on the NPU, compiling PyTorch models for the NPU, and even run Tiny Llama on the NPU.
With today's v1.2 update, there is now int4 support plumbed into this library. In addition to now working with int4 data types, the Intel NPU Library 1.2 offers new backend performance optimizations, Scalar Dot Production Attention (SDPA) NPU kernel support, and persistent compilation handling.
Downloads and more details on the Intel NPU Library 1.2 release via GitHub.
7für7
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I want to thank you and the others here for always providing objective counterarguments and having the patience to stand up to the trolls and bashers in the HC forum. I can't manage it and quickly digress... It's due to my southern European temperament... even if one tries to stay calm. Keep it up!
Best regards,
7
But has there ever been any indication that Meta was indeed an EAP customer at the time? Any announcement as with other EAP customers? If not, we shouldn’t simply assume so.
Absence of evidence is not evidence of absence. There would be an NDA and it is possible that Meta insisted on secrecy about the collaboration.
I did not assume Meta was an EAP. I thought there was a reasonable inference to be made based on the available evidence.
I have trouble understanding your 6 week window. It seems to be unsupported conjecture.
Chris Jones said
“So, about a year ago, uh, I was at Meta, I was in their AI Infrastructure Group, and on an almost daily basis I would see new neural network architectures.
So, when I was introduced to BrainChip, I didn’t think I would really be impressed by anything a small team was gonna develop, erm. They told me about TENNs, I was a little bit skeptical to be honest at first. As I started getting to understand the benchmarks and a little bit more of the math and how it worked, I started to get pretty excited by what they had.”
Your contention is that this means "on an almost daily basis (in the last 6 weeks) of my time at Meta, I would see new NNs."
... and then, ... and then ... and then ... (along came Jones), some time after he left Meta, someone introduced him to TeNNs while he was on gardening leave.
I find that quite implausible.
A possible alternative interpretation is "Up until about a year ago, I was at Meta, and on an almost daily basis I would see new NNs."
" So, when I was introduced to BrainChip, I didn’t think I would really be impressed by anything a small team was gonna develop, erm. They told me about TENNs, I was a little bit skeptical to be honest at first."
Does that sound like someone on gardening leave, or someone with the weary or arrogant disdain of the "not-invented-here" attitude nurtured in a mega-corporation.
Chris jones was introduced to Brainchip, and they told him about TeNNs. So was the Akida marketing group going around talking to random gardeners in the off-chance they wished to lay out a lazy $5M for a licence?
The more we discuss this, the more I am inclined towards the possibility of Meta being an EAP. Mr Ed is galloping this way.
Would you even call SNN's a Neural Network architecture?
Isn't the architecture all about how many hidden layers there are, and how many nodes in each layer?
Smoothsailing
Regular
Fingers crossed
Kevin O'Donovan on LinkedIn: #aiwithpurpose #industrialai #aiwithpurpose #siemensailab #industrialai…
#AIWithPurpose : "We've seen that in #IndustrialAI, the game is a little different. To start with, we don't have room for hallucinations, and we have a large…
Meta has over 100 patents referencing NNs, eg:
US2024153239A1 MULTIMODAL IDENTIFICATION OF OBJECTS OF INTEREST IN IMAGES 20221109
Technology for identifying an object of interest includes obtaining object embeddings for a plurality of objects in an image, obtaining text embeddings for text associated with the image, determining, for each of the plurality of objects, a similarity score via a similarity model based on the text embeddings and the object embeddings, while bypassing use of bounding box coordinates, and selecting the object having the highest similarity score as the object of interest. In another example, technology for identifying an object of interest includes obtaining object embeddings for a plurality of objects in an image, obtaining text embeddings and text identifiers for text associated with the image, generating, via a single transformer encoder, a set of CLS embeddings based on the text embeddings and the object embeddings, and determining, via a neural network, the object of interest based on the CLS embeddings.
As of 2022, they thought NNs uses MACs:
US2022308835A1 COUNTER BASED MULTIPLY-AND-ACCUMULATE CIRCUIT FOR NEURAL NETWORK 20220615
a system, a method, and a device for improving computation efficiency of a neural network. In one aspect, adder circuitry is configured to add input data from processing of the neural network and a first number of bits of accumulated data for the neural network to generate summation data. In one aspect, according to a carry value of the adding from the adder circuitry, a multiplexer is configured to select between i) a second number of bits of the accumulated data and ii) incremented data comprising the second number of bits of the accumulated data incremented by a predetermined value. The summation data appended with the selected one of the second number of bits of the accumulated data or the incremented data may form appended data.
This document describes many-shot learning.
It's quite ironic that this Meta patent application was filed using technology from the previous millennium, in the same month as the SotA TeNNs application. You can readily understand Chris' enthusiasm.
DingoBorat
Slim
"You apparently still can't get your hands on the 2.0 launched March 2023! Hmm, hopefully one day eh!"
AKIDA 2.0 IP is available now.
Saying you can't get your "hands on" the IP is misleading and not physically possible anyway..
They were just saying, there is no AKD2000 chip currently, which Dr Anthony Lewis, does not see as a problem (who for a CTO, has a strong commercialisation focus) as the core technology has been proven, by 2 iterations of AKD1000 and AKD1500, in 2 separate processes.
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DingoBorat
Slim
"But has there ever been any indication that Meta was indeed an EAP customer at the time? Any announcement as with other EAP customers? If not, we shouldn’t simply assume so".
BrainChip, has said precious little, about who have been their EAP customers.
Which customers, have actually been announced, as Early Access Partners, as I cannot think of any.
I think there are only strong associations?
So I think you saying, that Meta had not been announced as an EAP, is a very weak argument against the possibility of it.
Getupthere
Regular
Computers built like brains could be a 'competition killer'?
Computers built like brains could be much more energy efficient than current designs.
Pom down under
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Die gewählte Stellenanzeige wurde nicht gefunden. | Mercedes-Benz Group
Tasks
The AI (Artificial Intelligence) Research Team conducts research into current topics relating to artificial intelligence and applies the results to use cases from various specialist areas within the Group. We are researching the application of neuromorphic computing, an emerging technology that draws inspiration from neuroscience and promises particularly fast and energy-efficient machine learning. For this project, we are looking for a working student to support us in building demonstrators and developing novel algorithms.
As pioneers in the field of Innovations & Future Technologies, we overcome boundaries to identify relevant future technologies and innovations and accompany the relevant concepts from prototype to series production. We see ourselves as an innovation partner for all Mercedes-Benz development areas: From components, software & AI, the electric powertrain to the complete vehicle. In the innovation network with colleagues from various departments as well as with external company, start-up and university partners, we provide decisive impetus and steer innovations through to series production.
You will face these challenges:
- Working with new chip technologies
- Setting up demonstrators (streaming sensor data, training machine learning algorithms, deployment on neuromorphic chips, live visualization of processing results)
- Further development and evaluation of novel neuromorphic algorithms
Power consumption doesn't matter.
The exponentially increasing power consumption is irrelevant.
As long as it doesn't play a major role, electricity consumption will continue to rise.
It will only be in 2040 that electricity will no longer be sufficient.
As long as things continue like this, nothing will change.
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