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Larry needs an accurate wake word recognition program and digital assistant!!!!!! Now where would I find one??????? (Warning strong language)
Hi Sirod,Machine Learning Engineer - Neuromorphic Computing (Akida 2) - London
We are at the forefront of advancing neuromorphic computing technology. We are dedicated to developing cutting-edge solutions that transform how machines learn and interact with the world. Our team is growing, and we are seeking a talented Machine Learning Engineer to join our London office, focusing on developing applications using the Akida 2 neuromorphic computing platform.
Job Description:
As a Machine Learning Engineer, you will play a crucial role in our dynamic team, focusing on the development and implementation of machine learning algorithms tailored for the Akida 2 neuromorphic computing platform. Your expertise will contribute to optimizing AI models for energy efficiency and performance, aligning with the unique capabilities of neuromorphic computing.
Machine Learning Engineer - Neuromorphic Computing (Akida 2) - London
We are at the forefront of advancing neuromorphic computing technology. We are dedicated to developing cutting-edge solutions that transform how machines learn and interact with the world. Our team is growing, and we are seeking a talented Machine Learning Engineer to join our London office, focusing on developing applications using the Akida 2 neuromorphic computing platform.
Job Description:
As a Machine Learning Engineer, you will play a crucial role in our dynamic team, focusing on the development and implementation of machine learning algorithms tailored for the Akida 2 neuromorphic computing platform. Your expertise will contribute to optimizing AI models for energy efficiency and performance, aligning with the unique capabilities of neuromorphic computing.
The share price will go up, down or stay the same - or all of them.Morning
our price was red when I got up, now it was green and now it is at 0%. At the moment he doesn't know where he wants to go.
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Larry needs an accurate wake word recognition program and digital assistant!!!!!! Now where would I find one??????? (Warning strong language)
Definitely the company Intel as you click and it takes to their page
I tried that, but it appears to be just an image for me..Definitely the company Intel as you click and it takes to their page
Yikes!Yes - it's above my pay grade and very heavy going.
In speech recognition, in some cases, the speech must first be converted to text although, it is also possible to work with phonemes.
The processor needs to understand the nature of the words:
Nouns
Verbs
Adjectives
Adverbs
Prepositions
Conjunctions
Articles
... then to comprehend the context.
One problem is discovering how far back you need to go to find the correct context.
In written language, a lot of context would be found in a single sentence. A paragraph would capture a lot more context. But the context. In a book, it may be necessary to recall a chapter to descry the context.
In normal speech, the context should be close at hand (or ear), unless it is a familiar term.
LSTM, Transformers, and Attention, not to mention LLMs, have come along in quick succession.
This 2021 paper gives an inkling of the complexity:
Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition
Priyabrata Karmakar, Shyh Wei Teng, Guojun Lu
https://arxiv.org/pdf/2102.07259.pdf
There have been several attempts to find the optimal Attention system:
TABLE I
DIFFERENT TYPES OF ATTENTION MECHANISM FOR ASR
Name Short description
Global/Soft [10] At each decoder time step, all encoder hidden states are attended.
Local/Hard [23] At each decoder time step, a set of encoder hidden states (within a window) are attended.
Content-based [24] Attention calculated only using the content information of the encoder hidden states.
Location-based [25] Attention calculation depends only on the decoder states and not on the encoder hidden states.
Hybrid [11] Attention calculated using both content and location information.
Self [20] Attention calculated over different positions(or tokens) of a sequence itself.
2D [26] Attention calculated over both time-and frequency-domains.
Hard monotonic [27] At each decoder time step, only one encoder hidden state is attended.
Monotonic chunkwise [28] At each decoder time step, a chunk of encoder states (prior to and including the hidden state identified by the hard monotonic attention) are attended.
Adaptive monotonic chunkwise [29] At each decoder time step, the chunk of encoder hidden states to be attended is computed adaptively. models
This is a diagram of the configuration of a transformer-based encoder/decoder:
View attachment 57212
Unfortunately, the paper does not cover TeNNs.
It's getting to where there's only one chair left. Who will find a seat when the music stops?
30 bucks (or pounds maybe) an hour?Something seems off about that job advertisement. You would pay more per hour for a freelancer in Poland or Ukraine for a web dev let alone finding someone with akida2 experience in the UK to work freelance for 3 to 6 months. Please correct me if I was reading this wrong?
If this is not wrong; is this the opposite to trashing a company for shorting purposes by seeding positivity?
2 different comments. One on Twitter and the other one on linkedinThe first comment, @TTM in #77306 postet the screenshot, was "Looking forward with you connecting next week". This one was deleted? Now it shows "Can´t wait to hear more about your cutting-edge tech on Wednesday". ?
Senders slightly different.
ok, thank you, that makes sense2 different comments. One on Twitter and the other one on linkedin
Just took the screenshot and double checked. All the comments are still intact.ok, thank you, that makes sense
unfortunately the whole post (including Brainchips article) disappeared on Linkedin now and Twitter says at Brainchips: "content can not be loaded atm"
It's not the positive remarks, as you say..Brainchip was approved by Intel to appear and demonstrate AKIDA technology at this event?
It seems logical that on the way to being selected for inclusion in Intel Foundry Services and attending this event that Brainchip has created positive relationships with Intel employees reinforced by the employment of Mr. Stephen Thorne as VP of Sales at Brainchip?
The public nature of the relationship between Brainchip and Intel employees would not preclude friendly, positive remarks about looking forward to seeing Brainchip at this event?
Not sure what the issue is that demands so much discussion.
Perhaps someone can assist me to understand.
My opinion only DYOR
Fact Finder
Thank you DB.It's not the positive remarks, as you say..
"The public nature of the relationship between Brainchip and Intel employees would not preclude friendly, positive remarks about looking forward to seeing Brainchip at this event?"
These are personal type comments, that you would expect (at least I would) to have a name attached to them.
Not the sort of comments I'd expect an USD184 billion, faceless Corporation, to be making.
I'm happy to see them, it just seems odd, to me personally.
No I don't think that, but it doesn't change the fact, that it seems odd to me.Thank you DB.
So it seems odd to you.
I have to ask.
Do you think someone has faked an Intel Twitter and LinkedIn account or even hacked same to post two innocuous friendly remarks?
If so for what purpose have they gone to this trouble?
My opinion only DYOR
Fact Finder
Did I say that?No I don't think that, but it doesn't change the fact, that it seems odd to me.
Aren't I allowed, to have my own opinion?