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I actually got bit by this particular bug (I think) just a few days ago.

At least in my case, a proper cold shutdown was the remedy. (Many normal reboots were attempted in vain)

To add on to this, and I am not sure if it's just confirmation bias, but I've had consistently decent results when I play along as the hard working collaborator with a goal orientated mindset.

"Hey, I've [done small task / fix / tweak]. Now, let's [describe the next task at hand]" - it's a different axis than kind vs. rude, but using the framing of "Us" and "We're a team working together" feels like the code produced is less hogwash than it is with more direct commands: "Add feature XYZ"

My thinking is that it borrows from the archetype of the "good guys working together to overcome adversity" which is pretty universally common in most fiction.

About a decade ago I somehow came across Genudi[0], a markov chain based "AI", and had quite a bit of fun with it. The creator has a blog that makes for an interesting reading session.

0: https://www.genudi.com/about

It would be awesome if we were able to get more things besides vapes (and apparently some flashlights; I assume there are many niches where they are common) to use 18650 or even 21700 li-ion cells. I see most people I know buy AAs by the pallet and go through them regularly for their controllers, led lights, kids toys, etc.. and few I believe bother to dispose of them correctly.

Also, repeating your sentiment, for all the tech gadgets.. bluetooth speakers, I'm looking at you.. why not have replaceable batteries for those? There have to be enough vapers now that the knowledge of this type of battery as distinct from the old alkaline ones has passed into mainstream consciousness. This would be a huge selling feature for me.

The reasons I see are that it is because the rechargable li-ion are more dangerous and a fire hazard, but is this really true? As with most anything that can carry a risk if misused, I can find a few dozen instances where a vape battery went awry, but surely the benefits outweigh the concerns?

Edit: I do understand the irony of saying this on a post about when they do go boom.

Not parent; just throwing this out there; but in Canada, the local provinces have been doing a relatively ok job of keeping track of covid statistics. In Alberta [0] we have a fairly diverse population, and should somewhat generalize to other regions.

It would certainly appear that if we assume the risk of vaccination is relatively constant, (The risk actually appears to be greater for younger, <55 y/o people), then it makes a lot of sense to prioritize the older populations.

https://www.alberta.ca/stats/covid-19-alberta-statistics.htm... -- scroll to the bottom for age distributions.

Edit: FWIW, I don't particularly support delaying vaccination for any age group, however it should be recognized that the risk is apparently non-zero. I for one will be getting mine as soon as it is available to me.

Back in university I learned the in and outs of RSA, and to be honest, it seemed simple, understandable, and frankly, quite solid. It absolutely depends that p and q are chosen at random, but besides that, should be basically uncrackable.

Please let me know if I am wrong (outside of a quantum computing breakthrough).

edit: I understand that p and q need to be large primes. But there are a gargantuan number of large primes. AFAIK, if 52 cards in a deck shuffled randomly outnumbers in possibilities than the number of atoms in the universe, than surely RSA beats that by many many orders of magnitude in terms of computational complexity even at 1024 key length?

Interesting. I've got mixed feelings about this, as Echo VR (multiplayer) is definitely one of my most played VR games. If you have a VR headset, it's definitely something worth checking out.

On one hand, "boo facebook", on the other, hopefully this will give the Ready At Dawn developers a chance to deliver an excellent Lone Echo 2 experience without worrying so much about financial stress.

Again, if you have a chance, Echo Arena and Echo Combat are in my humble opinion, the absolute best VR games on the market today, rivaled only by HL: Alyx. The unique zero-g locomotion is something that needs to be lived to understand. Being able to just grab onto any surface, push yourself off in the direction you want to float, and then mix it up with thrilling ender's-game style gameplay is something so completely amazing (albeit, nauseating to some) that I'm surprised that it is not much more top tier and talked about much more.

For the most part, our effort has been focused on single exposure image enhancement, however we are beginning to use recurrent models to improve quality when video information is available.

Nonetheless, it's kinda a neat idea, so I tried testing the feasibility of it. I set up a recent flagship phone that claims to have 960fps super-slow-motion video capture next to another phone with a strobe app at 12Hz with a short delay in between pulses.

https://www.dropbox.com/s/ha51ntucl3klkcb/cell_flash_960fps....

There are definitely a few frames where the LED is at an intermediate brightness, however teasing out the exact timings between the flash and the camera may prove to be difficult to correctly synchronize.

As for over-saturated images having more signal... although the PSNR calculation may give you a better number, in practice, a region that is over-saturated is just a blob of 1s on the image (assuming float64 pixel values of 0-1) and there is no information there to extract. With a black level near but not at 0, we've found there is often more information hidden in the 'dark noise' than can be discerned by the human eye alone.

Absolutely! We recently rebranded our AI solutions from ALLIS (Advanced Low Light Imagine Solution) to ALIIS (All Light Intelligent Imaging Solution) specifically because we are beginning to branch out to handle use cases such as this!

As a proof of concept that this task can be tackled directly, a quick search brought up "DeepFlash: Turning a Flash Selfie into a Studio Portrait"[0]

Beyond denoising, we are already running experiments with very promising results on haze, lens flare, and reflection removal; super resolution; region adaptive white balancing; single exposure HDR; and a fair bit more.

One of the other cooler things we are doing is putting together a unified SDK where our algorithms and neural nets will be able to run pretty much anywhere, on any hardware, using transparent backend switching. (e.g. CPU, GPU, TPU, NPU, DSP, other accelerator ASICs, etc..)

[0] https://arxiv.org/abs/1901.04252

Sure, we have a short deck[0] that gives an intro to our noise reduction, and also here is a folder[1] that shows off a calibration target we captured with a actual camera (20ms, f22) in low-light conditions: (original, 100x gain, 100x gain + ALIIS)

We also have some more raw data[2] where there is the original bayer data available as .npy files with 40db analog gain applied, however I think the calibration targets show off what we are able to accomplish more dramatically. Finally, we have a short youtube video[3] that shows off how it works when applied to video.

[0] https://www.dropbox.com/s/0bm4dpxhn35vkhe/ALLIS_Investor_Int...

[1] https://www.dropbox.com/sh/k861saentyq1cs6/AADmO7X_L49nUkEI_...

[2] https://www.dropbox.com/sh/fv8omdf4fbx59m9/AABDnf6sdvv7rtIml...

[3] https://youtu.be/99Cq1bWCmMM

Hi, I'm a developer at NexOptic[0] and we are a company that was deeply inspired by this paper when it was first published. We had a lot of early success when attempting to replicate the results on our own and ended up running with it, and extending it into our own product line under our ALIIS brand of AI powered solutions.

For those curious, our current approach differs in some very significant ways to the author's implementation, such as performing our denoising and enhancement on a raw bayer -> raw bayer basis with a separate pipeline for tone mapping, white-balance, and HDR enhancement. As well, we explored a fair amount of different architectures for the CNN and came to the conclusion that a heavily mixed multi-resolution layering solution produces superior results.

As other commentators have pointed out, the most interesting part of it is really coming to terms that, as war1025 pointed out, "The message has an entropy limit, but the message isn't the whole dataset." It is incredibly powerful what can be accomplished with even extraordinarily noisy information as long as one has a extremely "knowledge packed" prior.

If anyone has any questions about our research in this space, please feel free to ask.

[0] https://nexoptic.com/artificialintelligence/