Noise is by far the biggest issue with analog computing, it accumulates at every step and getting rid of it is very complicated. I would have loved to hear how they deal with it, but I guess they wanted to attract investors with buzzwords instead.

That was pretty low on content and very high on marketing talk. Next time please be more specific and in depth to provide factual information. Otherwise viewers will confuse your video as an advertisement.

I love the certainty they said 30 billion units in 10ish years and the vagueness of the actual way it works "Yeah, a bit of analogue and a bit of digital". My degree is in robotics and mechatronics engineering so I am interested in this topic but learnt nothing from this video.

Great, now make it available to the hobbyists so we can start exploring the possibilities.

We've had programmable analog arrays for a while now. They're similar to FPGAs, but with analog building blocks, and generally haven't seen much market adoption, since most mechanisms that need analog electronics can be made more cost-effective, efficient, and easy to produce by just building the analog circuits necessary as purpose-built systems. There are definitely interesting applications for field programmable analog arrays, but I think they're largely overestimating the general usefulness of it - understandable, since they want to make money!

this is yet another proof of "you can sell out 'nothing' to majority using good presentation"

"We have solved the voltage offset problem, but we won't tell you anything on how we do it" Great. That was the the most important thing to know.

I don't know enough to be able to call them out on any specifics but the whole way through the video a bunch of red flags were going off in the back of my mind, and the fact that at no point they explained how this thing works just makes me doubt that it actually does work at all. You can't simply say that you addressed the issue of analog signals degrading over time without any further insight on how, and what about the general noisiness of analog? I remember being taught that the problem with trying to do calculations on analog measurements is that the small errors accumulate into much larger errors very quickly, hence why we convert stuff into fixed (digital) numbers first, so this would only be useful for simple tasks like comparing input against predefined patterns and then it would need to call a digital system to do anything even remotely complex. I'd love to be wrong and see this actually taking over the world in a decade or so, it'd be really cool, but for now I'm gonna be cautiously skeptic about the whole deal.

I want my 11.75 minutes back. Far too much "let me sell you a dream" than actual information in this video.

Okay, but how does it work? This is just a long marketing video

Every time they say 'wake up a digital chip to do communication' you should know that they are selling snake oil. Yes everything in the real world is analog, and so is all communication including wifi and ethernet. The physical layer is always analog. If there was any substantial info in this video, I would have hoped for them to show a minimal sensor reading transmitted wirelessly (433MHz or similar). It doesn't have to be wifi. But that's a great buzzword that everyone knows... And just by repeating 'it will be more efficient' doesn't improve your claim at all. All the stuff about analog co-processors that wake up larger digital ones, e.g. voice activation, is already done with digital coprocessors.

As an analog design guy I know very well how hard is it to tune an ASIC for each user case, even with a lot of programmability it will require a lot of designers. Designers that are not available, as the training is hard.

I've been intrigued by the potential of analog computing since I played around with classic analog computers in college. That said, I'm not so sure power savings for sensing will be the driving force in adoption of this new version of the technology. Perhaps the most promising opportunity is actual in AI inference engines which rely on comparison and relative closeness rather than absolutes.

Analog never went away don't worry :-). Every tech company has someone who knows their way around analog filters, oscillators and control systems as a bare minimum. The market for discrete components is still a growing one. Digital is simply quite often a cheaper solution as it takes less time to develop and is highly configurable, but whenever things like cost for mass production, reliability, and longevity play a role, analog never went away. Some industrial PI(D) controllers, low noise power supplies, RF amplifiers, calibration equipment... In some cases only the interface is digital, the part that does the thinking is usually fully analog... I'm absolutely of the opinion most problems in electrical engineering can be solved with analog systems, as a hobby I enjoy designing circuitry to tackle these things. But working for a company where electronics design has to pay for the paycheck of me and my colleagues, you need to pick whatever is the cheapest and fastest to produce and a digital system is usually preferred if its nothing too critical. Digital systems are very robust as well, you can effectively store values as binary data rather than voltages and it is very resistant against electrical noise! With analog systems you're constantly thinking about shielding, ground loops, ground planes, crosstalk due to parallel wires or traces, manufacturing tolerances of components, power consumption, non-linearities, parasitic capacitance and inductance, trace resistance, bandwidths, temperature drift... Digital circuitry just works straight out of the box and is resistant to almost all these things. Analog technology is big in footprint too, you're not working with components that switch on or off, you work with components that are either optimized for linearity, tolerance, matching, or show very logarithmic behaviour, temperature stability, thus strictly speaking for active components, the surface area such a component needs to have is much bigger. The more accurate your computation has to be, the more parts you need to add to your topology to stay within your needed tolerances. We sometimes ovenize parts for stability, or slap a heating element right next to it (a resistor or a carefully "shorted" transistor) simply to fight these things. Digital systems behave the same over a very wide temperature range without losing accuracy, so in many applications digital systems may be much more power efficient. I think the rise of "analog computing" is mainly a terminology thing. Yes, an analog control system is actively real-time "computing" and solving complicated differential equations, but since it just inherently is meant to do that, you don't say it is computing, it is stabilizing the system. You don't refer to it as a computer but simply a controller. We don't call microcontrollers computers either anyways. Analog computing is nowadays used as a buzz word. Real analog computers ARE highly configurable instruments, but also very impractical and competed out of the market many decades ago for that reason. Besides this, education tailors their studies towards demand of research and companies. Digital systems have way more practical use cases, so when you go study electrical engineering, most of the courses will be centered around digital systems. The result of this is obviously that most people by percentage will specialize in digital electronics. This is not a bad thing, there's still many people whose first projects were building guitar amplifiers or radios and just sit through education in order to go back to analog stuff again. Analog and digital signals processing is an age-old established marriage, it was and still is a big field of research and education, resulting in an insanely large number of DACs and ADCs being pushed to the market to facilitate this. Although I am very passionate about analog electronics design myself, I think it is incredibly important to also understand it's limitations and impracticalities. There's a lot of benefits, but also a BIG set of impracticalities you do not put forward. Videos like these leave me very divided. At one hand I love seeing analog stuff be represented outside of the audiophile world in a community that is dominated with microcontrollers, at the other hand I feel like you are wearing prominent eye-flaps and are underestimating the amount of analog specialists still walking around today. There's literally conventions for this stuff being held everywhere, breakthroughs are still being made by companies pushing better and better analog components to the market. Analog will never leave the tech industry. For as long as the world we live in remains analog, the specialization will exist, and the amount of people working within it will grow or shrink depending on demand and practicality.

I do believe analog is the right choice for things like machine learning, since it has a probabilistic foundation. But for practically any other case digital is far better; the rise of digital was mostly due to its help in discrete computing of hard numbers in banking and offices, that is never going away.

Not that I don't believe that analog could be more power efficient, but it would have helped if you did some back of the napkin calculations to illustrate by how much.

The board, the chip, the battery. Looks normal. Speaking guy, CEO? maybe overselling the revolution??

The problem with analog is that you cannot daisy-chain processes like in digital. In digital there is no loss of data because a 1 is always a 1, a 0 is always a 0. In analog, a wave is never accurate. It's a close approximation at best, even if you correct for it like they're stating here. That's because even a single analog number holds a (literally) infinite amount of data; you simply cannot fully compensate for it. This means that, as you send the wave from device to device, the wave distorts more and more (pretty much exactly like how video degraded when copying from VHS tape to VHS tape in the 90's). Mind you, this doesn't make the tech inherently bad. It's definitely very useful. But it's really not as simple to use correctly as digital is. Pros and cons and all that. There are very good reasons digital replaced analog, and saying things like "rebuilding the world from scratch" is being markedly naive.

I watched the whole thing and heard a bunch of "this technology". What is it, though. How does it work? Is there a paper I can read that tells me how they are doing this? The power consumed by an Analog to Digital converter isn't significant enough to claim this much power savings. I had to search for details on their AML100 chip to figure out what they are talking about. Maybe adding a bit of technical detail or providing links for those interested would be a good idea in the future. Without that info it is difficult to decide whether this is pathbreaking technology or just another Turbo Encabulator.

1. I've been watching these developments for a while with rapt attention 2. I think the biggest barrier to entry for these devices is purely going to be economy of scale. Once we can get the full production and shipping cost below energy consumption savings for each application, these take off. Fast. And I can easily see a way for this to be the best way forward in so many places. Right now they're talking sensors, but they can also be incredibly useful for mathematical logic. What I feel like they're not talking about is how this is going to be a game changer for AI in the long run as well where thresholds change decisions. I feel like this is one of the final pieces in a particularly dangerous puzzle, though.

Great topic. I had a flash back to college learning AtoD conconverters🤣 What was old will become new again, and just because some works well does not mean it cant be improved. Cheers

He said that their software fine-tunes the analog signal so that it's reliable digital bits & bytes. So, it's not analog computing. It's a better analog to digital conversion for digital computing.

I instantly don't trust anyone who does the Mr Burns "excellent" finger tips touch, while talking.

You integrated the ad very well. With honesty, respect, not in a cheap way. 👍

One big problem Natural noise effects results that means there could be UN wanted errors and bad presions But I'm also doing an DIY analog for about 3 weeks and it's precision is about at 1 pico amp and 1 pico voltage Which sadly is too low for me to easily work with But this is still powerful precision Let's hope this company does something better

Why do I get the sense I'm watching an infomercial?

The first time I saw an analog computer was an analog calculator. Changing where wires would plug into inputs, and it was able to accurately calculate and display certain graphs and such (don't remember specifically what they were). From the way they are going, it appears they are trying to implement analog with digital, which seems like an amazing idea. I look forward to seeing how well it optimizes power consumption in stuff in the future :D

I grew up with analog PID controllers in industrial and power plants. When I got my Engineering Degree I specialized in control technology and specifically analog controllers and relay logic (my professors were stunned at how fast I could design a relay system to control things as i had been figuring and troubleshooting them for years in the Navy and commercial power plants by the time I took those engineering classes). The problem with relays is the power they use and how bulky they are... but for some applications they are still the best as they are cheap if there only needs to be a few relays. I always thought that digital controllers for most industrial plant processes were overkill - and they sure are more time and cost expensive to fix when things go wrong. With analog you just replace the controller card with the right "dip switch" settings and adjust a variable resistor or variable capacitor to get it right (normally takes a few minutes). Then you repair the board by finding the component that has failed. I'm glad to see analog making a comeback. It sure uses a lot less power than digital computers.

It would fucking silly to go back to analog. I’m a huge analog synth nerd, and let me tell you: the reason why we love them so much compared to digital processing is because they are fucking silly. They decay with time. It needs to be repaired and taken care of forever. You have to let it cool down or heat up when you carry them around, because of the changes of temperature, just like an acoustic instrument. Would like that if you had to retune your cell phone just like a guitar everytime you wanted to sent a file That truly just feels like that con artist of a health company from few years ago that promised bibbidi bobbid percentage of better blood analyzing that would revolutionize everything. The real reason why digital replaced analog (and that seems to strangely be lacking from the explication of buddy) is because it is reliable, no matter the state of the system. You could send a gameboy to a bombardment in Afghan and have it eat a full on third degree burn, and that boy would still play your super Mario just fine. Even when a digital system is offset, it works great, because its all one and zero, aka a beep is sent or nothing happens. It can be referenced in time by the system, whereas that if some signal sent was in between 0 and 1, the system is still able to put it amongst the first pile or the nothing pile. Ditch that out of the window with analog; you would have to take extra care of everything. Your friend would sent you a word files, and it would literally crumble over time just like a sheet of paper. Your favorite pictures would fade overtime - an infinite array of pigments activated from a light source? that’s a polaroid for you-. No AI could help you or whatever for reference; he would either end up doing the same universal langage that digital does, but giving you thereafter the illusion that it was all yours, or either just skip that step entirely and just give you something different or degraded. Great

Let me think from the industry's point of view here, if they can produce the same result at a lower cost to them, it will be done. If the cost is the consumer's responsibility, this is the case with energy prices, the industry doesn't care. Semantics also has importance here, after the millions spent on marketing promoting "digital" as modern, superior, advanced, in relation to "analog" which today is seen as old, backward, inefficient, the analog will change its name as happens with UFO now it's UAP.

Wake word detection and very basic neural networks are a perfect application for this as those don't really need all that high precision, yet require thousands of parallel calculations for a quicker response.

CEO: "AI and machine-learning algorithms" Investors: Shut up and take our money!

We used to have analog computers - but they were superseded by digital computers. I guess there is a reason for that...

Its not an analog computer. It's just another sensor

I appreciate the ad you guys did!❤ God Bless!

I've previously seen the idea of the opposite of an analogue computer waking up digital components. The idea was that it would be a standard digital computer, and it would have an "analogue card" that it would use for tasks that lend themselves to analogue computing, such as facial recognition.

Veritasium has a great couple of videos on this topic

Sadly, This is all Fluff and no Stuff, with no real life use case comparisons of power and performance. Seems nothing but a repackaged cpu, that works with some custom analog sensors. It's more like the Fusion research, that never ends, but keeps getting closer to reality every other day. With energy harvesting technology advancement, the digital sensors, are already closer to, ultra low energy reality. Direct analog sensing and processing(digitally eventually), is more like reinventing a better wheel IMHO.♥️👍

I liked the way you introduced and talked about your sponsor, it feels more personal and related than just another random ad that pops up on youtube in a different form :D Also, it seems like it's all just the possibilities and the pros, but I'm not seeing any cons(any obvious ones, I can be kinda oblivious sometimes). It just doesn't feel like this is an objective view on this technology. It would be better if there could be like a structure to these kinds of videos - like introductions (what is, what was), pros, cons, future possibilities, problems etc.

Wow, this looks very promising for so many applications! Getting rid of noise is quite hard and the more stuff going on the more noise there is.

so its basically an efficient comparator module that i can program to detect any input

Love this channel, love the topics you all find to discuss.Keep up the good work !

Nice to see the brief clip (3:36) the the Moog Rogue synthesizer. Still have mine from 1982.

About this video, I thought it was about some analog computing technology, but it.s more a discussion of what could be if that technology would exist Kind of dissapointed ...

It would be gest if there was one real example circuit shown

In the late 1970’s, Honeywell Commercial Controls division developed an analog to digital temperature sensor as a key component for its first solid state digital central control system used in large office buildings, college campuses, hospitals, etc. The digital output was connected by wire to the local programmable controller, which in turn connected to the integrated control system operated from the central plant office. The analog to digital was done within the sensor.

Intriguing video and concept - as a guy into sound and Video I think this presents some interesting opportunities to reduce the burden and overhead of unnecessary D/A and A/D conversions. Cool Stuff. 🤔

Imagine creating something like the first arm processor that consumed so low energy that static on the air was enough to make it run but with this technology 🤯

Great stuff. As an industrial electronics designer, I have been wondering when this would happen. Some years ago when speech conversion was in it's infancy and digital devices were cumbersome at it, I designed an analogue converter that would create the initial phonetics and that would be passed to a micro to deal with the logic. I never built a prototype but it would have used a HUGE amount less processing power. My industrial designs are all a combination of digital and analogue. I have been involved in analogue electronics all my life so I'm very experienced in that. When I started programming micros a new world opened up some years ago. I see designers out there making software models of analogue that have big programs in DSP's when I would do it with op amps, logic chips and passive components. Much easier. Today, I design with whatever best suits the application. I end up with some interesting combinations of analogue and digital electronics.

I worked on analog computers for aircraft attitude references, autopilots, and weapon aiming systems. Sychros and servoloops, magnetic amplifiers and ledexes. All the fight control, stabs and air data was analogue. I built an analogue computer to add closed loop engine combustion control to my 2000 Honda when I imported it to the UK!

This is inspiring. I would like to get my hands to something like this. I can't understand for now how it recognizes the glass sound without cpu

We have plenty of microcontrollers that have analog input and outputs. Since we're already handling this kind of input and output, I don't understand what we gain by including this directly into a typical APU, or HPC APU. Seems like buzz about nothing.

While it truley has good Applications, I believe that it will not replace the classic semiconductor but stay a niche thing for now...

How are they taking care of the noise? Also, across different signals at different signal characteristics, how are they able to sample the signals?

Wow, Big picture of a system using such analog computing devices is amazing. I am interested to use them for architecture better solutions.

Am I the only one that heard a whole bunch of nothing here? The video makes the claim that "a bunch of energy" is spent converting signals from analog to digital. While I'm almost entirely certain that that's false (heck, even low-power PICs and Atmels have built-in ADCs), they don't spend any time even attempting to defend that claim. They throw around the term "analog computing" but don't get into any specifics. Does their tech still use the Von Neumann architecture, or is it something else? How does it handle concepts like memory and data retrieval? Their demo showed (what I assume is) a neural network being run via their analog tech. That's great, but neural networks are the exact opposite of "easy to program by writing software", which was what they claimed their new technology had solved in the first place. It honestly just seems that they've created nothing more than... analog sensors that filter/detect things? Where's the analog computing and the software programmability the video began with? I'm honestly not sure what the hype is. Maybe we get a few more low-power passive sensors if their mysterious tech works, but that's about it?

Make Analog Great Again.

This deals primarily with sensor, or production apps. Monetary tracking, inventories, and the like, will provide little purchase for analogue.

From the perspective of one who grew up massaging analog hot electron field effect hollow state devices with discrete components most often bought for 25 cents a pound as WWII military surplus it's high time those who missed that opportunity understand the vast potential in such technology. Thanks for showing the smaller Heathkit analog computer and reminding me I always wanted to build one like the larger version now on display at the Computer History Museum in Mountain View. A fundamental concept in human thought is the meaning of and distinction between discrete and continuous translated into current technotalk as digital and analog. Now speaking of particles and waves, but I digress.

I do feel like in the rush to create a digital future, a lot of the strengths of mechanical systems or analog systems were forgotten. There are a lot of things out there that just really do not need to be digital... a good case in point is a vending machine or a soda fountain at a fast food place. In the past, we had these simple, mechanical vending machines where you put in money or scanned a card, and then pressed a button corresponding to the drink you wanted, or you held down a button to get what you wanted from the fountain, with maybe an LED indicating when a drink had run out with a simple analog sensor. These were replaced with devices that have incredibly laggy touchscreens and menus that you have to hunt through, and all this trouble of greying out disabled items if the drink has run out. It seems laggier and more energy intensive than the old system. The problem with digital and IoT seems to be, in a nutshell, that because we CAN put a digital computer in everything, that means we SHOULD put a digital computer in everything... and in all honesty, there were plenty of mechanical or analog systems that worked just as well or better than the digital systems that replaced them. There are things digital does better, sure, but do we really need a digital computer in everything? Does every device need a touchscreen instead of physical buttons just because a smartphone has one and it seems modern?

Skeptical. Have to see it to believe it. Too much talk that reminds me of a startup trying to get more funding.

"all real world dats is analog"... true, but these signals have discontinuities, kinks etc. to represent such a function, you need infinitely many "waves", so at best we end up with a truncated fourier series and again we just approximate things in most cases. like our digital friends do. still really cool idea

I feel I get the point after some research. For voice and image recognization, precision is not important as the sample is already full of noise. So, maybe doing it in analog will simplify the process and save power, which means we can make it portable with great battery life, or pack more units together.

Yep, old tech revisited.

This guy just said AI and machine learning and made some people think this is a great product. 21th century i guess.

Besides all the technical interesting things on this video, kudos for putting the name of a movie front and center when used! It’s silly, but that is how everyone should give credit where it’s due.

I look forward to checking out their Aspinity analog board product.

Get the feeling this was a shill for the company making these. A lot of words were said to describe very little. Not a lot of explanation/background was given to it for a layman to understand its significance.

I've been dreaming about something like this for years. I remember a world before everything went digital, most devices were electronic (analog.) Much more responsive, much more stable devices. We did have digital, we did have computers, but even those, as I remember, were more responsive.

Mit grad students recently developed room temperature transistors, they accomplished this by tuning the transistor layers whi are designed to produce a highly efficient and low energy transistor operating at room temp, very soon your smart phone will be faster smarter and consume way lees Energy that it currently does. What would be fascinating if tge entire system was designed in yhe same way. I remember how excited i got when each new breakthrough in technology, especially the transistor its like Christmas morning every time for me.

7:08 This guy desires an award for saying "hey tv" instead of waking up the viewer's Alexa or Siri

As an audio engineer student I could honestly see limitless applications in my field.

Wow you managed to make an entire video about it and explained so little. How is it programmed? Can it do logical operations, can it do sequential computations, can it store memory? All i take is that it matches some patterns efficiently, that is it.

If I understand correctly, we can code analog circuitry inside the chip. For example, advanced op-amp circuits. It would be really cool.

Very cool! I love seeing elegant technology and elegant solutions to problems! One of the things I found fascinating was the old mechanical fire-control computers on the WWII battleships, doing integration *mechanically* - very cool!

The advancement of technology is largely due to the ease of handling digital signals, and the ease at which 1's and 0's can be programmed into transistors, integrated circuits, EM waves. Going back to analog is an academic exercise.

Why would it save power? Raw analog signals don't have anywhere near the energy to power any half-way complex circuitry without amplification. And that amplification needs a power source, so there's no such thing as a "constantly off" analog sensor system, at least not one that's somehow superior to digital alternatives, where you can also gate the power source with a transistor and a latch on the sensor line....

This is great and all. But won't this pose a huge security flaw? Think Tempest?

@9:30 - *Yes, I too have watched too much Gold Rush.* 😂

Not convinced: for the past decade most of the analog circuitry in the vast majority of consumer gadgets has been replaced by eight pin microcontrollers.

I am a simple man. I see a betterhelp ad and I leave. Do better

the new animations are cool, keep it going.

Analog computing was used in military a lot. I like to use as a great example, an automated target tracking for tanks while in movement. The idea was to always have your gun on target, while riding on uneven terrain. I saw an example of Yugoslavian tanks T 84, it had ultrafast analog computing , efficient, much faster than digital of that time, I believe system was developed in the 70s and used in 84.

I feel like this type of computing could be huge for the audio industry when fleshed out and experimented on further... particularly when it comes to DACs.

There is a potential security issue in 8:32, when the analog processor could not distinguish a recorded glass breaking with the actual glass breaking event. It may generate false alarms and it is gonna be costly. I may be improved to workaround this.

This technology was pioneered back in the 80s when my ESQ1 synth used Digitally controlled oscillators but sure it sounds somewhhat innovative since we've moved to all digital everything.

Right, so they're just sensors. You wouldn't normally have everything always-on. True analogue signal processing is faster than digital, although the power consumption isn't drastically lower. What they're referencing here is quiescent current, which is usually used in digital.

I'm half way in to the video ... and there is nothing substantial. No hard examples of what makes this fundamentally better than A2D conversion. How long has quantum computing been sold now, 24 years - and yet there still isn't even one real application. I think this is the same - too much hype.

Oh yes. I can hear the audiophile arguments droning into the infinite future! Seriously, what a tremendous breakthrough. The possibilities will be boundless. Greetings from New Mexico!

Sounds like the main use case is military funded wiretapping tools.

What about interference isn’t that analogues biggest down side. I had DVI display cables that wouldn’t work past a certain length but digital ones like HDMI work.

You know what's less energy intensive than a voice activated kitchen tap A hand operated one

So now our every move can be monitored in real time by tiny devices that can run for years on a small battery? Progress!

Analogue AI will be the birth of the singularity

I saw a bumper sticker: "reality is analog". Many things are best handled in analog. And it is. Brains and nervous systems are primarily analog. When I hear speech, my mind is not breaking it down with fourier analysis, it does filtering tuned by years of hearing speech in my language. When a cat decides to jump onto a table, he does no 'mathematics'. Uses his eyes to evaluate distance, calculates muscle strength required at many muscles (all the while fine tuned as far as current muscle strength while walking around), center of gravity... and then just 'does it'. Calculating all that would be a stupendous mathematical problem. In many cases, a small error in mathematical input results in a small error in output, whereas a 1 bit error can have major effect.

Still don't get the computing part. What I get is they are only talking about analog input hardware. Where is the "computing" parts done in analog way? For example: how you sum 2 numbers? Join both input voltage in series?

great potential. could solve a lot of problems, but also be the holy grail to mass surveillance and dystopian abuses in various circumstances.

🎯 Key Takeaways for quick navigation: 00:00 🌐 Analog processors, unlike digital ones, operate based on waves, offering a potential paradigm shift in computing. 00:57 ⚡️ Analog processors promise AI and machine learning capabilities with significantly lower energy consumption, about 1/1000th of their digital counterparts. 03:54 🔄 Software-programmable analog processors can interpret raw analog signals without the need for conversion into digital, a transformative breakthrough in computing. 05:53 📈 The integration of analog computing in devices is expected to reach 30 billion by 2040, potentially revolutionizing how computing energy is consumed and deployed. 06:48 🔋 A combination of analog and digital processing could optimize energy usage, allowing for continuous monitoring with minimal power consumption and extended battery life. 09:19 💡 Analog systems enable more efficient monitoring and insights, particularly in industrial settings, by utilizing minimal power for extended periods and improving resource allocation. 10:47 💓 Analog computing excels in applications like heart monitoring, utilizing power-efficient sensors to detect anomalies and trigger appropriate actions, showcasing its potential in healthcare. Made with HARPA AI

The interview did not explain clearly how this "analog computing" works. I look up the details on Aspifinity and seems to me the chip functions as a low power signal threshold detector. Normal digital processing requires the sensor output signals to be digitalized before comparision which need computational power for the digitalization process. As for analog processing, the sensor signals can be splitted, transformed, and/or combined with a reference signal for threshold detection which requires zero digitalization power. The interesting part to me is that the chip must be able to generate a reference analog signal out of the embedded ML model for analog computation. Wonder what is the magic source?

Please, never say “Hey Siri" in a video, it triggers both iPads and iPhones to activate our voice controlled assistant!!!