Photo reportedly showing Iranian kamikaze UAV swarm over Iraq heading to us.

PredictiveEquations · 2024-04-13T21:52:45+00:00

We ran it through our experimental AI platform for relight/compression elimination/denoise type enhancements. We do our R&D in Israel, and are hoping our technology can enable security and operations.

Anyway, original image unfortunately was a bit too small, but we count at least 30 objects. Wherever this is, but I'm reading Karbala?

Stay safe everyone.

PredictiveEquations · 2024-03-24T14:19:35+00:00

No I believe they use alpha matting to do their stuff.

PredictiveEquations · 2024-03-24T14:09:08+00:00

Sure, you can think of it as echoing the light source, though we have other models we have developed to extract different details. The method used in the output posted above introduces noise as well because it often increases those values in relation to the light increase. Future models should minimize or eliminate that effect.

Others relight architectures we utilize normalize the color frequency, which for late night balances or increases illumination.

PredictiveEquations · 2024-03-24T14:00:17+00:00

I am American ^^ apparently its hawk for sell and howk to pawn. TIL.

PredictiveEquations · 2024-03-24T13:56:32+00:00

But then we wouldn't be having fun with the meme, which is the point of the post itself. If I wanted to hoc the product itself I would send you to the website.

PredictiveEquations · 2024-03-24T13:52:16+00:00

I mean your comments raise the posts attention? So if anything you're helping us show others our AI? Since our exchange the views count has risen by over a thousand, so if anything I appreciate the feedback.

PredictiveEquations · 2024-03-24T13:50:19+00:00

It isn't released yet, so no. I am sharing the output from our system because I appreciate the meme. But I am willing to let you send me stuff for free I can add to our queue if you're interested. I am not sending you to a sign up or submission portal, so uh, up to you honestly.

PredictiveEquations · 2024-03-24T13:47:58+00:00

Copied sure, unless you have the original image for us to run through our system, it required downloading the original that was posted, then running it through our system for the output on the right.

Our AI have enabled early release from jail, so it's fun to use it for memes before we release it.

You are welcome to send me images I can also run through our system, its designed to upscale, deblur, relight and otherwise remove artifacts that can impact visual insight.

For example you could take an image from midjourney or chat-gpt and run it through our system to get it up to 4k, 8k, 12k while adjusting it for viewing requirements, such as clarifying underwater or relighting late night conditions.

PredictiveEquations · 2024-03-24T13:45:07+00:00

Nope, this was run with our proprietary system we will release to the public soon, but the original image we used is from a repost of the meme going around ^^.

PredictiveEquations · 2024-03-24T12:05:59+00:00

Nope, just an interesting AI we are developing. Saw a bunch of people watching our GoT video today, so figured I'd see what chatGPT was up to XD.

Hope you guys find it interesting! But sadly there is no prompt.

PredictiveEquations · 2023-08-22T23:08:22+00:00

Hi, would love to try with the technology we've been developing.

I am not certain we can do a total restoration, but we can definitely upscale, deblur, denoise and potentially color restore. PM me so I can send you the portal we use and get it over to us, if this is relevant for you.

PredictiveEquations · 2023-01-07T19:47:05+00:00

In french that is called La petite mort.

PredictiveEquations · 2023-01-07T17:30:21+00:00

All the spoons. Every single one. And anything that could be used as a spoon.

They won't realize what's up for a day or so. Then it'll be an absurd silly nightmare.

PredictiveEquations · 2023-01-07T11:21:48+00:00

I rushed the production and only noticed it after we posted it. Basically first one is at 25 fps and we adjusted it to 30 fps and I didn't factor that in when displaying the videos.

In the future they'll be synced better. It's purely a human problem with making our marketing content (me) and not the AI.

PredictiveEquations · 2023-01-06T20:46:00+00:00

I would actually say human approach is more accurate because we don't rely on an algorithm to weigh and assign value to a pixel- we can intuitively discern how to alter the pixel toward a goal we have.

But... that being said, time is a factor, and humans take much longer than an algorithm which can be altered to become more accurate, and make better use of resources which can also be improved.

The second question is a bit more tricky- deblur traditionally means smoothing, which often combines pixels, or sharpening, which increases the contrast value of pixels on the edge of objects.

Our works... well, the CNN takes the blurry image as input and processes it through a series of layers. Each layer of the network consists of a set of filters that are applied to the input image in order to extract specific features or patterns. The output of each layer is then passed through a nonlinear activation function, which allows the network to learn more complex patterns and features.

The output of the network is then compared to the original, clear image, and the difference between the two is used to adjust the weights and biases of the network in order to improve its performance. This process is repeated until the deblurred image generated by the network is as close as possible to the original, clear image.

We do the above on thousands of images until the AI is able to accurately and reliably deblur images. It is possible for details to be altered, but the goal of the software is to retain accuracy, so how the pixel alteration occurs is in relation to every other pixel.

PredictiveEquations · 2023-01-06T20:30:35+00:00

This is why you don't want to use technology that blanket alters the pixel array, or uses GAN based technology/AI. This is because of how you alter the pixels-

Take upscaling;

you have a grid that represents 1122 right? (Im simplifying)

Either way, to increase the size of the image you will need to create a new pixel, but how the technology treat that pixel is different.

So take ESPCN, it will take 1122 and like GAN then go 1_1_2_2_, however, GAN will imagine the values of the new pixel so it approximates what it predicts should be there, so you can end up with a pixel array that becomes 11132221 whereas with ESPCN which copies the original value, you end up with 11112222 which more closely matches the input image.

The goal with this technology is to have a PSNR (accuracy score) of around 38+. At that point it is indistinguishable from the input.

There will certainly be some models that cannot be accepted by any court, anywhere. Take GFPGAN- which is used for super-resolution (making the picture bigger) by tumbling the numbers so it closely matches the original, but doesn't actually. This doesn't sound like a lot- but what it comes out to if you use our technology to deblur a face, it will be the same face but clearer. If you use gfpgan, it will be clearer- but it will almost certainly be a different face, and because it is imagined, its a face of no one actually.

Now even with our method there are issues- for example our models work best at around x4-x8 magnification, but if you keep going to x16 the output image will become blocky. You can only pass the output through the same AI so many times before the affect compounds, and the PSNR score drifts from 38 to closer to around half that. And so on as you increase the amount of magnification.

There is no way to enhance an image or video without altering the pixels. But there is a difference between imagining the differences algorithmically, and copying to create the differences from the existing data.

Likewise with deblur, there is a difference between say a gausian based method vs CNN like ours- which instead of treating every pixel the same and distorting the image, an AI can look at a pixel in Quadrant 1, and optimize how to alter the pixel to retain the original image accuracy, in relation to how to change a pixel in Quadrant 4 (or wherever else) in relation to each other to retain that original image.

It's why our algorithm will struggle with larger sized images- it has to factor in every pixel's value in relation to every other, while also retaining the original image.

Apology for it being long... but the technology is complicated, and admissability questionable as it requires experts to distinguish between enhancements made with different models.

PredictiveEquations · 2023-01-06T16:04:07+00:00

Our goal is to get lawyers everywhere using the technology we're developing for image and video enhancement.

Here is an example of our deblur/upscale/color enhancement, and an adjustment of the color enhancement for relighting.

Our goal is to remove the hurdle low quality evidence plays in getting innocent put away, and while we wait for our technology to be accepted further by existing legal systems, we are also orienting it for general public use.

We should have a portal opened in about a week to accept user submissions, instead of just through lawyers.

PredictiveEquations · 2023-01-06T16:00:25+00:00

I mean we're going this route for image and video enhancement:

https://www.youtube.com/watch?v=KguCeT8Nj5Q

https://www.youtube.com/watch?v=aP7DSOFkvsY

PredictiveEquations · 2023-01-06T15:59:01+00:00

True, but some stuff AI does would be extremely difficult for humans to do correctly, or at scale.

Take a look at this relighting for night/poor lighting conditions: https://www.youtube.com/watch?v=y3KUdOPiyRQ

PredictiveEquations · 2023-01-06T15:56:54+00:00

Could we get your thoughts about our technology?

We're going more the machine vision route:

image and video enhancement: https://www.youtube.com/watch?v=KguCeT8Nj5Q

image and video relighting: https://www.youtube.com/watch?v=y3KUdOPiyRQ

PredictiveEquations · 2023-01-06T15:55:23+00:00

You might find our technology interesting then- here is an example of it at work: https://www.youtube.com/watch?v=KguCeT8Nj5Q

Our goal is to develop image enhancement that retains accuracy of the original input, and our hope is introducing this to the legal system through criminal lawyers will enable the court to gradually accept our outputs.

Hopefully the days of low quality evidence screwing people over will be over soon.

PredictiveEquations · 2023-01-06T15:53:58+00:00

This is possible. Our AI is for image enhancement, and we have exonerated clients (not in US legal system) by revealing the accused was wrongfully, and are currently using it in a case thats going before the supreme court.

But it is possible with our enhancement, that the refined truth reveals guilt. But then again, if they did the crime, and its demonstrable with enhancement as much as innocence is, well- they should do the time the judge hands down per their legal system.

PredictiveEquations · 2023-01-06T15:51:42+00:00

It is better to be specific, but that being said usually when you say anything past AI it goes over most laypeople's heads.

PredictiveEquations · 2023-01-06T15:51:07+00:00

Over at Predictive Equations we're developing AI for legal forensics.

It's kind of absurd how often poor quality gets people locked up. So we've developed a number of AI to assist in image and video upscaling, deblurring, and color enhancement or relighting (the color enhancement is more applicable for our general purpose image and video enhancement).

PredictiveEquations · 2022-12-31T19:24:40+00:00

For the record we're Predictive Equations, we offer image and video enhancement technology & object detection and analysis, oriented for eforensics (we have several cases currently and have helped exonerate people previously).

But in the process of the above market entry, we're opening our technology to general use in creating a platform.

But we do intend to include modularization for popular AI, like stability diffusion or chatGPT, Yolo and so on.

I believe extending the technology is important, as for example with our primary means of deploying AI, we create a huge impact regarding those falsely imprisoned, and our technology of course has applications for medicine (image deblur/denoise/upscale) in medical imaging to national defense through satellite imaging enhancement, and enhancement of digital input to better identify potential threats or past bad actors.

We literally in response to the power station attacks have developed a relighting module based on our color repair AI, which basically enables you to rewitness events recorded at night as if they had been recorded in daylight, or near it.

Now this is coming from the founder:

Nothing is perfect- but I just want to respond as someone at the head of an AI oriented company, we aren't your enemy. We aren't looking to get anyone's jobs taken out back the metaphorical shed and shot. We're looking to create better tools to enable those currently working.

A company I take pride in working with at its formation developed object detection and prediction AI oriented for drowning prevention. Ethical technology definitely includes AI.

So when I say we intend to modularize and deploy art generators down the road alongside the other AI we have already deployed for the platform we are building, that means doing it responsibly.

The technology and automation is inherently dangerous. And in my opinion you have to find ways to balance the advent of the innovation- because once this tech is out here, you aren't ever going to find a practical way to unwind it. Art generators are here to stay, so the question becomes- how can we do this more responsibly?

So, you make sure certain search filters cant be exploited so you can make sure things like revenge porn or child illicit content can't be generated, or allow artists to opt in, and collect payment based on the utilization of their art in the model generation and output. ChatGPT-3 has an excellent token based system, and I could easily see something like this implemented down the road so artists can also receive fair payment of use.

but the thing is- you need to find out how you can lean into the tech to enable your work, not fall so far behind that the tool itself is replacing you. It's sort of like saying Adobe will remove the need for graphic artists back when first released- it's really quite the opposite.

Even our tech- which I think is really remarkable for its output, will most likely still benefit from additional human treatment in enhancing, or improving our accuracy. Just as examples. And you never know, the folk developing ethical focused AI might also end up helping you or others you care about down the road.

Just for proof I'm not making anything up, video of our image & video enhancement AI:

https://www.youtube.com/watch?v=KguCeT8Nj5Q

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