No open-access location is known for this record yet.
No open-access location is known for this record yet.
This edited volume investigates contemporary machine learning. Contributors explore ML's history and its relation to artificial intelligence; theorize machinic agents’ capacity for novelty, assess the viability of reform efforts for ML and AI; and ask what kind of learning ML represents.
Loading…
Stored only when both papers are in the corpus — 47 citations exist upstream.
Imported from OpenAlex (CC0) — nothing here is generated.