Re:I got fooled by AI-for-science hype–here's what it taught me
by GrantMoyer on Tuesday May 20, 2025 @09:29AM
(#44041405)
The field of neural network research is known as Deep Learning.
Re:I got fooled by AI-for-science hype–here's what it taught me
by danielbln on Tuesday May 20, 2025 @11:43AM
(#44042892)
Eh, not really. All Deep Learning involves neural networks, but not all neural networks are part of deep learning. To be fair, any modern network is also effectively built by deep learning, but your statement as such is inaccurate.
Re:I got fooled by AI-for-science hype–here's what it taught me
by daveguy on Tuesday May 20, 2025 @09:38AM
(#44041517)
This is incorrect. Machine Learning is a term that refers to numerical as opposed to symbolic AI. ML is a subset of AI as is Symbolic / Logic / Rule based AI (think expert systems). These are all well established terms in the field. Neural Networks include deep learning and LLMs. Most AI has gone the way of ML lately because of the massive numerical processing capabilities available to those techniques.
AI is not remotely limited to Neural Networks.
I think Machine Learning doesn't mean this as a word, as it can also refer to linear regression, non-linear optimisation, decision trees, bayesian networks etc.
That's not saying that AI isn't abused as a term - but I do think a more general term to describe the latest 5 years advancements in neural networks to solve problems is useful. Particularly as it's not obvious which model architectures would apply to which fields without more work (or even if novel architectures will be required for frontier science applications).