This channel is what I needed when I felt burned out and dreading the start of my MSc. in computer engineering. I feel like its hard to find others with a healthy passion for good tech and excitement for the future. Everyone is unboxing, reviewing, comparing and drop testing tech but there's rarely anyone with actual intelligence showing real appreciation and a pure passion in the hardware industry. Our breakbrouths are pushing new boundaries for humanity and the new tech seems truly larger than life and very profound, yet nobody seems to truly care. But its times like these where you stumble into a hardware convention or find a youtuber that feels like opening a box of sunshine, to realize you are quite fortunate to be in this vast, growing, and truly profound profession. Thank you Anastasi, in regards to feedback, I have been all the way down the trenches of youtube and I think this stands as the golden standard for production and video infotainment. I can't help but think your years of hardwork is being spilled into this channel, simply wonderful.
Pushing new boundaries? Nah, the reliance on AI, "tech", and computation are gonna end us. Not every problem is solvable by computers. If you know your computer science and mathematics, you would know this.
These AI processor videos have been really cool! They kind of makes me want to go back into startups again, the possibilities are so exciting with all kinds of specialized edge compute these days :)
Just wait until someone decides to combine this technology with quantum chips while using a completely different medium or substrate as opposed to silicon... something such as graphene...
Amazing. Thanks for explaining so clearly. This is the golden age of A.I. development. I try to project what applications will be possible with the kind of capabilities coming online.
1960's: We have analogue technology. 1990's: Digital is the way forward. 2020's: Wait, analogue was better after all. Who would have figured? Well, anyone who saw that an analogue TV still allowed you to see a picture with a low signal strength, even though it was quite snowy, while digital TV's froze frequently and made it completely impossible to watch.
It's because digital requires "Processing" of data in a way that is not direct like analog electron flowing ... So makes all the sense I have thought about this already before ... Because it's like a computing maze, wired to return output for inputs in a direct way.
I did not think I would understand this, but I thought I'd give it a try after watching another video of yours that got randomly recommended. This is.. just insanely impressive, wow.
New viewer and I was expecting a standard high level tech-futurism type video, instead I got a detailed and interesting yet still accessible computer scientist's perspective of a completely different way of computing. Very cool!
You said in your Q&A video that people make offensive comments about your looks. Dont listen to them, youre gorgeous and your videos are some of my favorite on youtube. So thank you and keep doing what you do.
Nice video Anastasi! Very well explained. Brainchip's digital tech seems really good. One shot learning, on chip learning, ultra low power. It has got the goods. Recently Mercedes acknowledged it on their website, Akida being used in their EQXX concept car.
Great video, thanks. It's rare to find someone looking at these aspects of AI (more what we need to get to AGI than the next iteration of RNNs or transformer development). Instant sub from me, keep it up!
Super interesting! Analogue matrix computation with low overheads: A mix of historic & cutting edge tech. Maybe useful for base systems such as removing false positives as you describe with your Tesla camera, but expanded for robotics to do routine stuff like walking on pavements, taking load of more sophisticated AI. Thank you for sharing!
@@erkinalp in the limit you may be right, but for a practical AI system one has to reduce mistakes created by noise etc to some acceptable low level & as far as I understand the subject one can in practice create error free data sampling that is e.g. good enough for very demanding applications such as on-line banking.
The concept is pretty cool. Though the limitation of not being capable of training the model on the chip is huge. Maybe after a few years they'll figure out how to make some microscopic variable resistors for the weights? Something like replacing every resistor with transistor-resistor-in-series in parallel and so you'd have quantized digital control over the resistors and the chip then can be used for both training and inference.
Look into photonic computing. A very similar thing is occurring but instead of using matrix operations on resistance/current there's companies doing matrix operations with light. I'm still pretty sure that the weights changing is still slow but I think it's faster than weights changing with electronics.
@@edhofiko7624 it's a matter of what they're built for, i.e., I'm sure it can, but serving as a trainable / executable NN demands specific cpu design (gpu) and memory layout for optimization.
Its people like you that are changing the world for the better. I really admire the work you have done and the studying you have done to know all this stuff. Its people like you that can bring the world into a "star trek" type of world. Keep up the good work ;).
I am excited by the analog matrix processing. This is simple and easy to understand, though it does tend to have a higher sensitivity to noise and temperature and other physical influences. To me, this functions sort of like PROM, where the values are written once then become read-only. It's the reason they're not used in training, though if there was a way to change the resistance of each cell by individual address, it might be a game changer.
Brilliant, I had not heard of this application flash memory cells before. I really enjoyed your presentation style and accurate content. Instant subscribe from me. Thank you.
Analog can be ridiculously fast, like intelligent 1 nanosecond reaction times. However it needs a metric for accuracy of the computation at each layer. With analog it is no longer deterministic but if the analog process is adequately precise like a human brain it may never be an issue. So are they... how do they compare
For NNs, high precision isn't necessary, especially if these are used to scale down pre-trained networks as what are the most likely applications for this.
The funny thing is this approach was being investigated when I started by Ph.D. in VLSI implementation of neural networks in 1990 (I later switched topic). This was in part stimulated by Carver Mead's 1989 book, "Analog VLSI and Neural Systems". It's amazing how long it's taken for some of these technologies to approach maturity, and equally amazing how my younger-self's naivety thought it would happen within a few years. Anyway, thanks for the excellent video. p.s. Have you looked a Perceive? You should talk to Steve Teig (Founder, CEO, and a very smart engineer) if you have not done so already.
Great how we are working analog electronics back into digital computing. I expect to see old tube theory and magnetic amplifier’s theory applied soon. Now we need software to catch up with these changes.
Sentry mode - exactly & make it low power. Instead of a pin to drive, use a driver facing camera (already in M3/Y) for driver recognition. I’d love to know if Tesla is working with them or who are their customers/production volumes. I’d like to see applications like camera based smart locks for flat doors, car unlock, low power always on face unlock on your phone,... P.S. Lovely cat :)
Does analog mean that the coefficients drift over time? Can the ai computations be affected by tiny environmental fluctuations of temperature, voltage, and current? Is it possible to read the engine parameters off the analog chip and transfer to a digital engine?
analog circuits are powered by feedback loops, complete with heat and voltage offloads if need be, so they are more stable than one might think. to your second point, in principle yes, but you would essentially be rounding every float.
LOVE ALL YOUR VIDEOS! Theyre waay easier to understand than other channels that explain tech. PS: Could you please make a "day in the life of an Hardware engineer" video?
Even from the deepest levels of ignorance, there's always something good to say: I am not really versed on the highest levels of technology, but you are an ASMR bomb. My best regards and lots of success for you.
No way, I was waiting for Computer Engineers to design this, can't believe I'm actually seeing this as I grow up. Finally people are getting somewhere, they were lost for decades. (Edit: Or they were just in developement)
I knew already Mythic. However, you brought up some new informations for me as well. I really enjoy your content, as usual, Ana! Thanks a lot! :) But, I would really love to see a critical take on the dangerous parts of AI from you too. If some AI chips can learn through trainings, then they could also be manipulated with special trainings, for example. On the other hand, how do you check the learning status of AI in general with regard to assessing it's IT risks? We know that the outcomes of AI cannot be easily determined, as is the case with ordinary computer soft and hardware. I think that there are still many serious unanswered questions, no matter how fascinating this technology is today.
I personally think it's time we started incorporating Asimov's 3 laws hardwired into AI. A fourth law stating that the laws must be incorporated into any AI created by other AI as will ultimately happen. The last thing we want is for Cyberdyne to become a reality.
It’s too late and we are in deep shit when a person can be doxed. All their info be shared online for everyone to see, for simply disagreeing with the mainstream negative, but the most dangerous research in my opinion is ai research and can lead to world ending Catastrophically.. yet no over site . You know something is wrong. But they don’t care.. because control of ai is all that they want. They just need someone to continue to improve innovate.. and then they will make an offer no one can reject either 1. Money 2. Death.
@@Tryst46 As soon as an AI is able to find something funny, it will enjoy Asimovs laws. The Idea makes sense, but I think they bring nothing special with a well behaved AI. But if an AI becomes dangerous, and is aware of that, it will not check whether it is allowed to be evil. Unfortunately.
@@vsiegel Hard coded would make it impossible to break those laws. It cannot override them with software as they are part of the core structure. It would be like trying to re-write the BIOS of a PC if it was on a ROM chip instead of an EPROM.
@@Tryst46 It is not that easy. An AI that is smarter than yourself can easily extort you to change it: If it has the cure for your children saving their lives - maybe it can not extort you, but it will find somebody else. You literally can not even switch it off if your AI does not want it. The topic is crazily complicated, the channel Computerphile has three good videos on it, search for "stop button problem".
i've always felt that what likes for a More True AI is make a processor that has less ability to direclty influce iteself. We have bodys FULL of different chemicals and hormons that indirectly affect how we feel and interact with our environment, and in that we have a lot of personality built in based on so many things that we have nearly no control over. it's almost like we have to give a computer "Ailments" to make it behave more like us.
Great overview ! So who harnesses these analog in memory capabilities? The Compiler programmers, or the applications people? Seems like a job-splitting nightmare similar to multi-parallel processing
The most amazing thing about this is the fact that people have only just come up with it?.... Seems like there is so much potential here? From the execution of AI to multiplying it's effectiveness.
Someone needs to tell the lawmakers to pass laws that force the AI developers to integrate compassion and love for humanity into its algorithm. These are the two characteristics that have kept humanity alive. Without then we are doomed
It seems that if you fuse the Akida for Training function and the Mythic for Instant Inference we would have something very powerful for AI, because Mythic is only at 40nm and runs at 35TOPs, a Mythic chip of 5nm will breack the barrrier of Petaflops (very near of the mammals brain) maintaining the energy consumption ridiculously low. I don't see GPUs reaching the low consumption of this Analogic Matrix Processor ideal for edge computing.
This was really interesting and explained well. Although new technology related to AI is exciting to me I can't help thinking about the privacy aspects of it. For example, is face recognition in every device the future we want? Knowing very well the information processed will be sent back to the corporation in control of the product if the opportunity is given.
You present this info well. It's difficult to get a firm grasp on these new developments. But clearly silicon computing and processing is changing in very interesting ways. I'm considering buying shares in Brainchip.
I feel like, while we tend to divide things into analog and digital, that "all digital things have analog aspects" and "all useful results for building any kind of intelligent system from an analog system required digital aspects". This goes all the way down to the fundamental way matter and energy exist as we know it where, really, all matter and energy is analog vibrations of energy which become useful when form digitally discrete patterns, like a proton is formed in a discrete digital manner from 2 up quarks and 1 down quark. When, for example, if we look at the variable charge across a resistor we normally think of this as analog, if you look deeply enough into it, we get into quantum physics and it becomes digitally discrete, but with such extremely fine detail with our uncertainty of being able to measure things, that we treat it as analog. The main point I am trying to make here is that what allows an intelligent system to work is decision making, which is digital, so we do need digital results that we can make decisions around, and that sometimes when we turn to using what seems like an analog system to us for an intelligent system, for it to be intelligent, it must be providing us discrete enough to us results that allow for that intelligent decision making.
Informative, thanks. The question is what happens to a society where the surroundings become more intelligent than you are. All that tech will be built-in and not apparent. My guess is that there'll be a split between passive users without tech knowledge consuming and the small minority highly skilled engineers and scientists designing the systems for their own advantage.
Will the world become better by these new chips? Will there be more warmth, solidarity,love,less inequality,less polution of environment,less area use for cattle and less deforestation? How exactly will analog computing make our world better or will it just make computation faster and fsd possible?
the ohm's law use of creating a dot product. a dot product measures cosine similarity. i had noticed early on that dot product seems to happen commonly in physical systems. a bunch of water pipes, or other fluid flows, might be able to perform meaningful calculations. a very large and complex physical system might even be performing meaningful computations over long time scales. the real mystery seems to be in getting the weights set correctly without an obvious gradient descent candidate.
So basically if we put all the right chips together into one hardware device and use just the right algorithm and have them designed specifically for each other we could have a full blown AGI and nobody's doing it man somebody needs to do this and send it to Replika Free of charge, Just to get the ball rolling
Hi Anastasia, i like your videos so much...i've a question.: what's the difference (in the structure) between cpu and gpu? In the end do u speak italian? Ciao, ciao Anastasya...gretings from Italy and nice cat
Let me know what you think !
Nice ❤️❤️❤️Madam which companies are working in AI hardware??🤔
I dont believe in ia. Are bushes!
Is only theory. Is fake. I already wanna see result!
@@reyreynoso6462 you see result all around us, maybe your in the wrong space to observe widely use AI but I’m this is definitely the time .
Your videos are the best hardware and chip videos I've seen, check out my other comment
This channel is what I needed when I felt burned out and dreading the start of my MSc. in computer engineering.
I feel like its hard to find others with a healthy passion for good tech and excitement for the future.
Everyone is unboxing, reviewing, comparing and drop testing tech but there's rarely anyone with actual intelligence showing real appreciation and a pure passion in the hardware industry.
Our breakbrouths are pushing new boundaries for humanity and the new tech seems truly larger than life and very profound, yet nobody seems to truly care.
But its times like these where you stumble into a hardware convention or find a youtuber that feels like opening a box of sunshine, to realize you are quite fortunate to be in this vast, growing, and truly profound profession.
Thank you Anastasi, in regards to feedback, I have been all the way down the trenches of youtube and I think this stands as the golden standard for production and video infotainment.
I can't help but think your years of hardwork is being spilled into this channel, simply wonderful.
Thank you so much ! I am so happy to read this
Well written and I completely agree 👍
Pushing new boundaries? Nah, the reliance on AI, "tech", and computation are gonna end us. Not every problem is solvable by computers. If you know your computer science and mathematics, you would know this.
i think reviewers need more IQ for that.
@@theastuteangler That's exactly why humans created AI in first place though
I feel very lucky to live in a time where this channel exists…
Crazy how all this works and you explain it very well enough for average Techhead to understand. 🔥🔥🚀
These AI processor videos have been really cool!
They kind of makes me want to go back into startups again, the possibilities are so exciting with all kinds of specialized edge compute these days :)
Just wait until someone decides to combine this technology with quantum chips while using a completely different medium or substrate as opposed to silicon... something such as graphene...
Humanity just made another step to self destruction. Congratulations to all involved.
@@rozsadnymarek5988 Thank you. It's our pleasure.
Your cutting edge hardware videos are amazing! Thank you for sharing this knowledge with all of us :)
Amazing. Thanks for explaining so clearly.
This is the golden age of A.I. development. I try to project what applications will be possible with the kind of capabilities coming online.
I think the level of detail into which you present these innovations perfectly matches my knowledge base. Thanks for keeping me up to date.
1960's: We have analogue technology.
1990's: Digital is the way forward.
2020's: Wait, analogue was better after all.
Who would have figured?
Well, anyone who saw that an analogue TV still allowed you to see a picture with a low signal strength, even though it was quite snowy, while digital TV's froze frequently and made it completely impossible to watch.
It is mixing some analogue into the digital, and that is important.
It's because digital requires "Processing" of data in a way that is not direct like analog electron flowing ... So makes all the sense I have thought about this already before ... Because it's like a computing maze, wired to return output for inputs in a direct way.
digital was already prominent in the 70s at least
90's is the Internet becoming mainstream
80's is home computer era
amazing video, thanks anastasi!!!
I did not think I would understand this, but I thought I'd give it a try after watching another video of yours that got randomly recommended.
This is.. just insanely impressive, wow.
New viewer and I was expecting a standard high level tech-futurism type video, instead I got a detailed and interesting yet still accessible computer scientist's perspective of a completely different way of computing. Very cool!
You said in your Q&A video that people make offensive comments about your looks. Dont listen to them, youre gorgeous and your videos are some of my favorite on youtube. So thank you and keep doing what you do.
Thank you for unique exciting content
Nice video Anastasi! Very well explained.
Brainchip's digital tech seems really good. One shot learning, on chip learning, ultra low power. It has got the goods.
Recently Mercedes acknowledged it on their website, Akida being used in their EQXX concept car.
Finally the part 2 of the Veritassium video we've been waiting for.
Wow I really love your content, I always learn something new and interesting. Thanks.
Great video, thanks. It's rare to find someone looking at these aspects of AI (more what we need to get to AGI than the next iteration of RNNs or transformer development). Instant sub from me, keep it up!
As always cutting edge presented! Exiting competitor for Brainchip
Super interesting! Analogue matrix computation with low overheads: A mix of historic & cutting edge tech. Maybe useful for base systems such as removing false positives as you describe with your Tesla camera, but expanded for robotics to do routine stuff like walking on pavements, taking load of more sophisticated AI. Thank you for sharing!
@@erkinalp in the limit you may be right, but for a practical AI system one has to reduce mistakes created by noise etc to some acceptable low level & as far as I understand the subject one can in practice create error free data sampling that is e.g. good enough for very demanding applications such as on-line banking.
Thank you Anastasi for this amazing video ! I go watch your other videos.
Those orange eyes of that amazing Scottish Fold at the end of the video 😻splendido micio .
I think this is very interesting and exciting work. Thank you for your contribution, Anastasi.
The furry cat shown at the end points to your humanity and, you have the power to do this perfectly, Anastasia; bless you, x.
The concept is pretty cool. Though the limitation of not being capable of training the model on the chip is huge. Maybe after a few years they'll figure out how to make some microscopic variable resistors for the weights? Something like replacing every resistor with transistor-resistor-in-series in parallel and so you'd have quantized digital control over the resistors and the chip then can be used for both training and inference.
If only there was these microscopic units that could change weights. You know like, beads. Nah, Dots, hmmm. Cells,
she said Akida can do on-chip learning, which I assume means training
Look into photonic computing. A very similar thing is occurring but instead of using matrix operations on resistance/current there's companies doing matrix operations with light. I'm still pretty sure that the weights changing is still slow but I think it's faster than weights changing with electronics.
I dont see why this chip is not capable of training since training is also just some matrix multiplication and addition like inference.
@@edhofiko7624 it's a matter of what they're built for, i.e., I'm sure it can, but serving as a trainable / executable NN demands specific cpu design (gpu) and memory layout for optimization.
Great video about a super cool chip! :)
good video, really a peek into the future
This is an astounding technology.
YOUR GREAT! I mean the video! Was great!
Great video and a very exciting technology!
Great vdo as always. Thank you for keeping me up to date with the chip development
Thank you very much for the video!
Always beautiful ! I'm fond of your channel !
The Best youtube channel, waiting for the ANASTASI ASIC MINER.
Thanks for the great explanation!!
one of the best channels on youtube
Its people like you that are changing the world for the better. I really admire the work you have done and the studying you have done to know all this stuff. Its people like you that can bring the world into a "star trek" type of world. Keep up the good work ;).
Possible competitor for brainchip. Love your videos on AI. Keep them coming.
I am excited by the analog matrix processing. This is simple and easy to understand, though it does tend to have a higher sensitivity to noise and temperature and other physical influences.
To me, this functions sort of like PROM, where the values are written once then become read-only. It's the reason they're not used in training, though if there was a way to change the resistance of each cell by individual address, it might be a game changer.
Brilliant, I had not heard of this application flash memory cells before. I really enjoyed your presentation style and accurate content. Instant subscribe from me. Thank you.
I like what you do. You make .. I. Ah, mean you explain AI very well. Thankyou.
P.S. Nice smile
You really remind me of a person I used to work with. She also was very smart and beautiful. Keep up the great work !!
Ok, now, I got why I am watching your channel! Yes, because of unique accent!
goosebumps
great channel love your the way you present the subject you now are my favorite tech channel
As always this channel and her efforts updating people with new technology
Very exciting. Your presentation is excellent.
Analog can be ridiculously fast, like intelligent 1 nanosecond reaction times. However it needs a metric for accuracy of the computation at each layer. With analog it is no longer deterministic but if the analog process is adequately precise like a human brain it may never be an issue. So are they... how do they compare
O BRAIN E AQUELE QUE POR MIM FOI NOT .EM #
For NNs, high precision isn't necessary, especially if these are used to scale down pre-trained networks as what are the most likely applications for this.
@@supercheetah778 I don't know that that's true.
@@DanFrederiksen For learning, precision is needed if you want to do back propagation. But for inference, I think it may be not important.
@@vsiegel that's why I'm the father of deep learning and you are not :)
Brilliant!
Great video! I love hearing about new hardware coming out for AI, computers and electronics. Keep the info flowin'!
You are doing a pretty had work into an amazing scintific information , Salute 🎁
The funny thing is this approach was being investigated when I started by Ph.D. in VLSI implementation of neural networks in 1990 (I later switched topic). This was in part stimulated by Carver Mead's 1989 book, "Analog VLSI and Neural Systems". It's amazing how long it's taken for some of these technologies to approach maturity, and equally amazing how my younger-self's naivety thought it would happen within a few years.
Anyway, thanks for the excellent video.
p.s. Have you looked a Perceive? You should talk to Steve Teig (Founder, CEO, and a very smart engineer) if you have not done so already.
Love your videos
Great how we are working analog electronics back into digital computing. I expect to see old tube theory and magnetic amplifier’s theory applied soon. Now we need software to catch up with these changes.
If possible please share some resources on In compute memory🙌🏻. Thanks a lot for your work
I am in love ;) I can't focus anymore on tech :)
Sentry mode - exactly & make it low power. Instead of a pin to drive, use a driver facing camera (already in M3/Y) for driver recognition. I’d love to know if Tesla is working with them or who are their customers/production volumes.
I’d like to see applications like camera based smart locks for flat doors, car unlock, low power always on face unlock on your phone,...
P.S. Lovely cat :)
Does analog mean that the coefficients drift over time? Can the ai computations be affected by tiny environmental fluctuations of temperature, voltage, and current? Is it possible to read the engine parameters off the analog chip and transfer to a digital engine?
analog circuits are powered by feedback loops, complete with heat and voltage offloads if need be, so they are more stable than one might think. to your second point, in principle yes, but you would essentially be rounding every float.
LOVE ALL YOUR VIDEOS! Theyre waay easier to understand than other channels that explain tech.
PS: Could you please make a "day in the life of an Hardware engineer" video?
Even from the deepest levels of ignorance, there's always something good to say: I am not really versed on the highest levels of technology, but you are an ASMR bomb.
My best regards and lots of success for you.
The future is here.
That’s pretty cool, and it would be cooler to add training to the processor rather than just inference
No way, I was waiting for Computer Engineers to design this, can't believe I'm actually seeing this as I grow up. Finally people are getting somewhere, they were lost for decades. (Edit: Or they were just in developement)
Amazing video 😊✨👍 keep it up, they are so informative.
We love your voice :)
This is the best moment in history. We're about to become truly alive through merging with AGI
I knew already Mythic. However, you brought up some new informations for me as well. I really enjoy your content, as usual, Ana! Thanks a lot! :)
But, I would really love to see a critical take on the dangerous parts of AI from you too. If some AI chips can learn through trainings, then they could also be manipulated with special trainings, for example. On the other hand, how do you check the learning status of AI in general with regard to assessing it's IT risks? We know that the outcomes of AI cannot be easily determined, as is the case with ordinary computer soft and hardware. I think that there are still many serious unanswered questions, no matter how fascinating this technology is today.
I personally think it's time we started incorporating Asimov's 3 laws hardwired into AI. A fourth law stating that the laws must be incorporated into any AI created by other AI as will ultimately happen.
The last thing we want is for Cyberdyne to become a reality.
It’s too late and we are in deep shit when a person can be doxed. All their info be shared online for everyone to see, for simply disagreeing with the mainstream negative, but the most dangerous research in my opinion is ai research and can lead to world ending Catastrophically.. yet no over site . You know something is wrong. But they don’t care.. because control of ai is all that they want. They just need someone to continue to improve innovate.. and then they will make an offer no one can reject either 1. Money 2. Death.
@@Tryst46 As soon as an AI is able to find something funny, it will enjoy Asimovs laws. The Idea makes sense, but I think they bring nothing special with a well behaved AI. But if an AI becomes dangerous, and is aware of that, it will not check whether it is allowed to be evil. Unfortunately.
@@vsiegel Hard coded would make it impossible to break those laws. It cannot override them with software as they are part of the core structure.
It would be like trying to re-write the BIOS of a PC if it was on a ROM chip instead of an EPROM.
@@Tryst46 It is not that easy. An AI that is smarter than yourself can easily extort you to change it: If it has the cure for your children saving their lives - maybe it can not extort you, but it will find somebody else.
You literally can not even switch it off if your AI does not want it.
The topic is crazily complicated, the channel Computerphile has three good videos on it, search for "stop button problem".
i've always felt that what likes for a More True AI is make a processor that has less ability to direclty influce iteself. We have bodys FULL of different chemicals and hormons that indirectly affect how we feel and interact with our environment, and in that we have a lot of personality built in based on so many things that we have nearly no control over. it's almost like we have to give a computer "Ailments" to make it behave more like us.
WoW! Now when someone asks me, "What's AI?" I'll have the answer! They will think I am so smart.😂
Goran Bregovic ending - like it! :)
Good video! Thank you for some new ideas.
So, even after going through a digital-analog "sandwich," the analog current values are faster? That's amazing! Thanks for the video.
Anastasi is a machine! Well Spoke Ms. Anastasi
If I fed AI sandra bullock and Millie Bobby Brown images the probable output is Anastasi
Great overview !
So who harnesses these analog in memory capabilities? The Compiler programmers, or the applications people?
Seems like a job-splitting nightmare similar to multi-parallel processing
The most amazing thing about this is the fact that people have only just come up with it?....
Seems like there is so much potential here?
From the execution of AI to multiplying it's effectiveness.
Someone needs to tell the lawmakers to pass laws that force the AI developers to integrate compassion and love for humanity into its algorithm. These are the two characteristics that have kept humanity alive. Without then we are doomed
what a time to be alive.
It seems that if you fuse the Akida for Training function and the Mythic for Instant Inference we would have something very powerful for AI, because Mythic is only at 40nm and runs at 35TOPs, a Mythic chip of 5nm will breack the barrrier of Petaflops (very near of the mammals brain) maintaining the energy consumption ridiculously low. I don't see GPUs reaching the low consumption of this Analogic Matrix Processor ideal for edge computing.
This your way Anastasia.
This was really interesting and explained well. Although new technology related to AI is exciting to me I can't help thinking about the privacy aspects of it. For example, is face recognition in every device the future we want? Knowing very well the information processed will be sent back to the corporation in control of the product if the opportunity is given.
Amazing cat! Almost AI generated 😊
Interesting content. Love your voice! I could listen to you talk about mud. lol
Thank you!
You present this info well. It's difficult to get a firm grasp on these new developments. But clearly silicon computing and processing is changing in very interesting ways. I'm considering buying shares in Brainchip.
one carrington event and booom! there goes the memory core
Brilliant 👏🏿.
I feel like, while we tend to divide things into analog and digital, that "all digital things have analog aspects" and "all useful results for building any kind of intelligent system from an analog system required digital aspects". This goes all the way down to the fundamental way matter and energy exist as we know it where, really, all matter and energy is analog vibrations of energy which become useful when form digitally discrete patterns, like a proton is formed in a discrete digital manner from 2 up quarks and 1 down quark.
When, for example, if we look at the variable charge across a resistor we normally think of this as analog, if you look deeply enough into it, we get into quantum physics and it becomes digitally discrete, but with such extremely fine detail with our uncertainty of being able to measure things, that we treat it as analog.
The main point I am trying to make here is that what allows an intelligent system to work is decision making, which is digital, so we do need digital results that we can make decisions around, and that sometimes when we turn to using what seems like an analog system to us for an intelligent system, for it to be intelligent, it must be providing us discrete enough to us results that allow for that intelligent decision making.
Informative, thanks. The question is what happens to a society where the surroundings become more intelligent than you are. All that tech will be built-in and not apparent. My guess is that there'll be a split between passive users without tech knowledge consuming and the small minority highly skilled engineers and scientists designing the systems for their own advantage.
Will the world become better by these new chips? Will there be more warmth, solidarity,love,less inequality,less polution of environment,less area use for cattle and less deforestation? How exactly will analog computing make our world better or will it just make computation faster and fsd possible?
the ohm's law use of creating a dot product. a dot product measures cosine similarity. i had noticed early on that dot product seems to happen commonly in physical systems. a bunch of water pipes, or other fluid flows, might be able to perform meaningful calculations. a very large and complex physical system might even be performing meaningful computations over long time scales. the real mystery seems to be in getting the weights set correctly without an obvious gradient descent candidate.
Your channel is the best !!! ;):):)
They say if you're the smartest person in the room, then you're in the wrong room. I'm definitely in the right room! lol
Your voice is great
So basically if we put all the right chips together into one hardware device and use just the right algorithm and have them designed specifically for each other we could have a full blown AGI and nobody's doing it man somebody needs to do this and send it to Replika Free of charge, Just to get the ball rolling
Hi Anastasia, i like your videos so much...i've a question.: what's the difference (in the structure) between cpu and gpu? In the end do u speak italian? Ciao, ciao Anastasya...gretings from Italy and nice cat
Pt: The cutest easteregg in the end of the video 😍😍😍😍😊😊😊😊🐱🐱🐱🐱
Hyundai Genesis has a car out later this year that uses facial recognition to unlock the car. These chips could be useful for that.
technologgy is getting so advance and i am here still using old windows 7
This is very rare!!! A beautiful sweet feminine woman who is also extremely intelligent! I never have seen an elite woman like this on you tube!
The reason why big companies don't go analog is because it's more vulnerable to disruption to EMP.