Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 2 years ago

MODERATORS

communick@academy.garden

[D] What AI topics are you curious about but rarely see in the spotlight? (alien.top)

submitted 1 year ago by GratefullyFriendly73@alien.top to c/machinelearning@academy.garden

53 comments fedilink hide all child comments

I'm a data engineer who somehow ended up as a software developer. So many of my friends are working now with the OpenAI api to add generative capabilities to their product, but they lack A LOT of context when it comes to how LLMs actually works.

This is why I started writing popular-science style articles that unpack AI concepts for software developers working on real-world application. It started kind of slow, honestly I wrote a bit too "brainy" for them, but now I've found a voice that resonance with this audience much better and I want to ramp up my writing cadence.

I would love to hear your thoughts about what concepts I should write about next?
What get you excited and you find hard to explain to someone with a different background?

you are viewing a single comment's thread
view the rest of the comments

[–] tesfaldet@alien.top 1 points 1 year ago (3 children)

Gonna toot my own research direction: artificial intelligence x complex systems. I’m talking differentiable self-organization (e.g., neural cellular automata), interacting particle systems (e.g., particle Lenia), and other neural dynamical systems where emergent behaviour and self-organization are key characteristics.

Other than Alex Mordvintsev and his co-authors, Sebastian Risi and his co-authors, and I suppose David Ha with his new company, I don’t see much work in this intersection of fields.

I think there’s a lot to unlock here, particularly if the task at hand benefits greatly from a decentralized and/or a compute-adaptive approach, with robustness requirements. Swarm Learning already comes to mind. Or generative modelling with/of complex systems, like decentralized flow (or Schrödinger) matching for modelling interacting particle systems (e.g., fluids, gasses, pedestrian traffic).

[–] kau_mad@alien.top 1 points 1 year ago

Could you please point to a few recent research papers in this area?

[–] lunaticAKE@alien.top 1 points 1 year ago

Last year when I heard from one of my friends, who is a medical data researcher from Harvard, that he and his colleagues were doing researches related to federated learning, I knew this topic gotta be trendy for the recent years

[–] hophophop1233@alien.top 1 points 1 year ago (1 children)

I think this is the most important topic in this thread so far.

[–] -Django@alien.top 1 points 1 year ago

Why is that? You've got me curious