This particular one is mostly about dosing, the available medicines were weight based, with lowest dosages in the 5-15kg range. This brings dosages lower allowing more precise dosing for the lighter babies.
Edit: it's a very welcome addition. Limits side effects.
I am working on an app to detect tooth problems. I envision it as something you can use for a quick check for the large majority who don't have regular dental care. It will be late detection but a good alternative to doing nothing.
I am experimenting with the current SOTA multimodal LLMs, but performance is still not yet there, they still hallucinate non-existent teeth. (As an aside, I have found a simple but very telling test, I have an image with only 4 teeth visible up and 10 down, so I prompt the modal to count, non have been able to, but Gemini 2.5 pro is the closest of the lot, performance is worse in the description when the counting test fails).
I am going to try segmenting the image to see if I will have better results by prompting to describe segment by segment.
I now put documentation of my DSLs and macros in a folder in the repo. I give the agent an instruction about consulting the documentation and it is working so far, but not that well. I am considering switching to all generics.
There have been multiple attempts in various languages to implement Erlang-like processes and claims of parity, Erlang processes remain unbeaten at what they do.
It's not false, Erlang was indeed banned at Ericsson, which caused Joe Armstrong to leave. They later reversed course and brought him, together with the language back. This is a well documented fact in the history of the language.