Machine Learning Summer School 2026
https://cfe.columbia.edu/content/mlss2
Two-week intensive summer school at Columbia University covering machine learning topics including mechanistic interpretability, alignment/safety, RAG & agents, and LLM systems. Approximately 200 PhD students participate alongside faculty and industry speakers. In-scope due to dedicated alignment and mechanistic interpretability tracks.
Topics & tags
Sources
- Machine Learning Summer School (MLSS) - Columbia (aggregator, trust 0.75) — observed 2026-04-29
Salience signals (score = 0.642)
{
"score": 0.6423,
"signals": {
"type_weight": 0.35,
"source_trust": 0.75,
"topic_relevance": 0.7,
"time_proximity": 0.869182389937107,
"community_signal": 0.5,
"speaker_org_signal": 0.6,
"is_cfp_open": 0,
"source_count": 1
},
"computed_at": "2026-04-29T08:21:41.042Z"
}