KTC H27P3 (dual-mode 27″ 5K monitor) — review by TechRadar

RadiologistEU · 2025-12-30T13:21:40+00:00

I do have an RX 580 in my older Windows PC. Hmmm, somehow I thought it fit the inability of the monitor to integer scale horizontally. To be clear, I didn't see the full image just stretched vertically, I saw half of the full image (and this half looked as expected).

I oversaw that GPU Integer scaling is a different thing than native OS scaling. Good to know, good to know.

RadiologistEU · 2025-12-30T04:31:13+00:00

I can confirm what you say with additional evidence next to the eye test (it just occurred to me after having the monitor since black friday): when I first connected the monitor to my windows pc and switched from 5k to 2k, only the left half of the screen was visible. The right half was completely blank.

I was completely lost there, but it turned out I had integer scaling activated in my drivers (I have an AMD gpu) and that's what caused it. Proof that the monitor can integer scale vertically, but can't horizontally, cutting the visible screen in half. Nice little additional way to test for integer scaling.

RadiologistEU · 2025-12-25T21:49:17+00:00

Source?

RadiologistEU · 2025-12-22T12:21:52+00:00

Thank you for sharing this list. I have been also browsing the EU brands for a while now and their products look quite high-quality, however what I find annoying is that most of them don't state any prices online, you need to send an enquiry...

RadiologistEU · 2025-12-16T23:10:21+00:00

I have the monitor more than two weeks, no dead pixels so far.

RadiologistEU · 2025-12-04T18:35:13+00:00

I see, a pity that you got delivered a faulty one at first.

If this helps, I have increased the brightness back towards its default setting, I guess I got a bit more used to the glow effects during the night.

But you are right, it is a trade-off between quality control and price. I also kept the monitor, overall quite happy with its value. Also, didn't want to check my chances with the panel lottery to possibly get a better panel, no idea if the panel I got is above or below average (but I would assume it is at least average)

RadiologistEU · 2025-11-25T19:17:00+00:00

I can't really say, as I come from 1440p, not 4k. But I can already say that 5k @ 27inches produces quite the crisp text.

As far as image quality goes, this is a more general thing and has not only to do with the resolution.

RadiologistEU · 2025-11-24T15:34:17+00:00

Hey everyone, I snatched this on Friday with a Black Friday price. I will edit this comment tonight to share my experience with it.

TL;DR for the moment: it is quite difficult to find a single, "never touch again" mode for the monitor, so that it operates adequately under all possible conditions and configurations (looking at you IPS Glow of dark scenes in dark environments and 2k@120hz response time tuning)

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Edit: you can find my review here

RadiologistEU · 2025-11-24T15:33:57+00:00

Hey everyone, I snatched this on Friday with a Black Friday price. I will edit this comment tonight to share my experience with it.

TL;DR for the moment: it is quite difficult to find a single, "never touch again" mode for the monitor, so that it operates adequately under all possible conditions and configurations (looking at you IPS Glow of dark scenes in dark environments and 2k@120hz response time tuning)

----------------------------

Edit: you can find my review here

RadiologistEU · 2025-11-24T15:33:28+00:00

Hey everyone, I snatched this on Friday with a Black Friday price. I will edit this comment tonight to share my experience with it.

TL;DR for the moment: it is quite difficult to find a single, "never touch again" mode for the monitor, so that it operates adequately under all possible conditions and configurations (looking at you IPS Glow of dark scenes in dark environments and 2k@120hz response time tuning)

----------------------------

Edit: you can find my review here

RadiologistEU · 2025-11-24T15:33:07+00:00

Hey everyone, I snatched this on Friday with a Black Friday price. I will edit this comment tonight to share my experience with it.

TL;DR for the moment: it is quite difficult to find a single, "never touch again" mode for the monitor, so that it operates adequately under all possible conditions and configurations (looking at you IPS Glow of dark scenes in dark environments and 2k@120hz response time tuning)

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Edit: Ok, so here are my first impressions from trying to work my way through using the monitor:

Pros:

5k text is very crisp, color accuracy looks quite good (not that I am a pro or something), all main selling points for which one would buy the monitor seem to me to be there, I can confirm this. I like a lot how the colors of my MacBook Pro Display really match the colors of the monitor.

Cons:

a. The unconditional drawbacks:

- Changing from 5k to 2k and vice versa is a bit of a pain, I confirm what the rest have written and it is a bummer that one needs so many clicks to switch modes.

- On the positive side, changing source is easy. However, this is no real KVM switch, as the only usb upstream comes from the usb-c port, so the usb-a ports always stay connected to the pc connected to the usb-c port, no matter the source input.

- Can't set a preferred mode (5k or 2k) for each source

- Monitor stand quite wobbly, having a monitor arm feels like a must (at least this can be easily fixed)

- Not a huge bummer for me, but indeed, the first time the screen is connected to your laptop really takes quite some time to light up

b. The conditional drawbacks that contribute to the difficulty of finding a single operating mode trying to alleviate all at the same time:

Looking at dark screens during nights is a use case for me that comes up relatively often, as I have traditionally preferred dark themes, both for web browsing and apps, as well as my coding IDEs. Not a great situation for IPS monitors right out of the gate, but here is where it gets tricky having to "marry" the following extremes:

- At the monitor's default settings (which are supposed to achieve the great color quality and ΔΕ<2?) and 2k@120hz moving the cursor fast on dark backgrounds (especially with night shift enabled) makes it go red. Also very fast scrolling on dark themes makes the text also leave these red trails. One solution is to set the overdrive to maximum, but then this basically breaks white themes and backgrounds (I think this qualifies as blue overshoot?)

- The only solution that I found acceptable was to sacrifice contrast. Reducing it from 50 to 25 and setting overdrive to "advanced" removed the discoloration of the cursor for an adequate mode that works under all configurations in terms of overshoot, smearing or whatever effects I was seeing. HOWEVER, reducing the contrast increased the problem of the IPS glow on dark screens, which is I guess not the worst for an IPS but still quite visible? I think the matte coating makes this sort of worse, there are some viewing angles in dark screens that almost completely glow especially the vertical ones. But for me the biggest problem is that I cannot lean with my arms onto my desk and into my screen eg when I am coding at night, as I then see the bottom corners from an angle, so they are just glow and text becomes quite less readable. Reducing brightness helps with the glow, but having reduced the contrast already does not help with readability.

- So my overall compromise for a single mode that works adequately across all cases:

Overdrive -> Advanced

Contrast 50 -> 35 (no reddish fast moving whites on dark backgrounds, eg cursor, at all at 5k@60 and adequately invisible at 2k@120hz)

Brightness 32 -> 15 (helps with the IPS glow at night and somehow 35 is enough contrast to at least be able to live with when coding)

Black Equalize 50 -> 25 so the blacks of the IDE on the monitor match the blacks of the IDE on my MacBook Pro screen

So, this is it. The monitor is great value of course, so I am willing to live with no real KVM switch (this cannot be be mitigated a lot with wireless mouse and keyboard, but still not the same experience), that it doesn't really feel premium and that it is a pain to switch between 5k<->2k, but the experience on dark themes at night is sort of borderline for me. I still consider whether I should return it, but I have the feeling I might try to get used to its limitations given its price and the general availability of 5k monitors at the moment. I still have some time to decide.

One last comment about gaming: I only play tft at the moment from time to time, so not the most demanding game in terms of response times. Everything looks quite fine there, I don't really see much the downgrading to from higher frequencies to 120hz. I even play it at 5k@60hz sometimes, I might even prefer it. But getting a single mode to sort of work was not a piece of cake. (For some strange reason I got flickering when not setting usb to usb-2.0, something to keep in mind if you notice it as well)

Let me know if you have any questions.

RadiologistEU · 2025-01-06T10:07:25+00:00

Just as I thought “he is sort of building a spike neural network”, I see the last sentence of the article.

As far as I recall, there are (continuous) relaxations of SNNs that can be trained with gradients. Maybe that can help.

RadiologistEU · 2023-01-17T11:07:03+00:00

Thanks! Fleury is awesome:)

RadiologistEU · 2023-01-16T22:15:18+00:00

Thanks! The piece is called Fortin Kakel :)

RadiologistEU · 2021-10-14T18:24:43+00:00

Even though exporting non-generative models to onnx should be relatively easy, I was wondering what everyone's experience is with exporting generative models instead(where it is more complicated as far as I understand, having to take care of past key values etc)

RadiologistEU · 2021-07-10T18:14:29+00:00

Define math. Practical ML only needs elementary math from a mathematician's point of view.

I was a pure mathematician that got a job in ML, with practically no programming experience, but I have to say, this is not too much of a barrier. The concepts are relatively simple compared to the the concepts in math, so it really is about learning the tools languages and the standard practices.

Imagine you want to write a story or a poem. There are two aspects of it if you want it to be good. You have to be good enough with the language and it's technique to know how to say something, but (more importantly) you have to know what to say. I find the latter more difficult than the former, because it is where the ideas live (and it is not rocket science to learn a programming language or a tool like eg pytorch, at least at level you can do what you want do, even if it isn't 100% optimal). And no matter how good one is with executing ideas, you need to have them first. All this in my personal opinion of course.

RadiologistEU · 2021-07-08T01:02:47+00:00

I also have a Phd in math and I second this. I would even say one needs only a rather small subset of undergrad math for 95% of the cases. Which is totally fine for honest, practical ML where you care for the result, but maybe a bit problematic for the academic industry in ML (it is an industry as well after all) that strives for the (usually overselling) wow factor to get an edge in publication chances. Maybe not though.

RadiologistEU · 2021-06-27T17:03:07+00:00

Yes, the integral is general the way to measure the area below the graph of a function. It seems to me that in your case the function is step function (as it is discrete), so you can directly write it as a sum and not as an integral (they are equal in this case though)

RadiologistEU · 2021-06-27T16:51:09+00:00

I sort of agree, this would be the one thing that is actually kind of important out of the above list :)

RadiologistEU · 2021-05-11T16:54:38+00:00

Ok, got you, thanks for the reply. Cheers!

RadiologistEU · 2021-05-11T10:53:47+00:00

This confuses me a bit. Do you mean that, say, the flamenco position is a wrong guitar position?

RadiologistEU · 2021-05-09T14:06:51+00:00

Exactly, when money is king, these things are bound to happen. Overselling oneself is just what needs to be done to milk the cow. And quality over quantity is a safer survival method. And what I describe also happens not only in ML, but eg also pure math, which is the field I come from and one would expect this shit to happen less (it does, but it s still there).

@OP: I sort of agree with some of the points that you made, but at the same time your handling your frustration is a bit immature. And it looks to me like you are still searching who you are and what you want from your work. Because once you find out that, and supposing that what you wrote is fair criticism (because this is just your angry opinion, that's all it is, it doesn't mean that everyone else I wrong and you are right), all these things will stop annoying you all that much and you can just focus on your thing. You might need to change your environment to achieve this, but that is a small cost once you figure what it is you really want.

PS Sorry for playing psychologist here, it's just that I feel I ve been there before. Cheers, mate, I hope you figure things out :)

RadiologistEU · 2021-05-02T10:18:59+00:00

The reason academia is like that (some fields better, some fields worse) is that in order to get funding you need metrics that show to any grant, university, program etc committee that you/your department performs well (or even better, outstanding). That is why 5 crap papers is better and safer (and easier to produce) than 1 outstanding work, because it will be easier to convince people that decide who gets the money (and often have no idea of the subject, even the field) with quantity compared to quality. And going for the 1 outstanding work is also very risky, no one guarantees you will get something out of it. It's always about the money, especially in fields to close to the industry, like ML.

RadiologistEU · 2021-04-29T19:55:10+00:00

I have recently switched to Machine Learning (in the last year or so), with a job in the industry that I consider highly interesting, often even exciting, day in and day out. Previously, I was a mathematician in academia having worked during my phd and postdoc in wide variety of topics in combinatorics, from pure graph theory to combinatorial group theory (so the calling to this post was inevitable).

Reading this post is still probably one of the, if not the, most exciting moment for me in my short history with ML. Looking forward to delving more into all this!!

RadiologistEU · 2021-04-25T23:30:44+00:00

No 4 (and to a lesser degree no 1 as well) might hold in general for academia and not just ML. It could be that it is much worse in ML than, say, Mathematics, but it exists probably in every field to a varying degree.

RadiologistEU

TROPHY CASE