notme1234

dang Isn't this a repost of this: https://news.ycombinator.com/item?id=31449147 Just added "LLM".

Some FDA APPROVED cancer medication cause many severe side effects, for example, Opdivo/Nivolumab[1], my father used it and it seems to help, but caused other long term side effects, which seems will never pass. 1: https://www.opdivo.com/potential-side-effects

Sounds like a very simple idea. But, no many consider to monetize it. Can you link to a sample (with a watermark or some protection of course)?

This is less useful nowdays, since magstrip are deprecated (at least in most developed countries).

Very cool and useful tool. Two pain points for me:

A) I don't see support for RTL languages (like Hebrew/Arabic) - or to configure text alignment.

B) According to a Github issue [1] it cannot be installed on a Raspberry Pi

[1] - https://github.com/silverbulletmd/silverbullet/issues/136

Is Graal VM a silver bullet? Ignoring startup times, will Graal VM out perform classic JVM (IBM/Oracle etc'). I guess the optimization of the classic JVM are hard to beat. Also, cross compile is not working with Graal VM (which makes it harder to deploy than a good old Jar file).

GPS spoofing will not prevent a US attack on Russia, it may prevent angry Russians from finding Putins' office, though.

There was an exiting legislation for 11K, so this new legislation only reduced the sum to 6K. Not sure how this law is going to be enforced (as many of the laws in Israel are not strictly enforced).

Guessing USB Rubber Ducky is an option

What is the best object detection that is able to run on Raspberry PI 2? I checked tiny Yolo which requires less resources but it is much less accurate than the regular Yolo. Looking for the best accuracy with the least CPU/RAM requirements. Mainly needs this to tell if an image contain a person (still images from a network camera, which publishes an image upon motion detecion).

Very cool, but the desktop app for chest CT doesn't work - you can open an image but nothing get diagnosed. How is the algorithm differ from existing image classification algorithms?

I have the roborock S6. The Youtube video (https://youtu.be/sn1tia80nT4?t=776) demonstrating the root process shows that 2 wires should be soldiered to RX and TX on the board. Can anyone recommended a wire to use (a link or a name will be nice)

edit: typo