| dc.contributor.author | Abdelmoneum, Mahmoud | |
| dc.contributor.author | Beneventano, Pierfrancesco | |
| dc.contributor.author | Poggio, Tomaso | |
| dc.date.accessioned | 2026-04-08T22:32:50Z | |
| dc.date.available | 2026-04-08T22:32:50Z | |
| dc.date.issued | 2026-03-25 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/165377 | |
| dc.description.abstract | We present pAI/MSc3, an open-source, customizable, modular multi-agent system for academic
research workflows. Our goal is not autonomous scientific ideation, nor fully automated research. It is
narrower and more practical: to reduce by orders of magnitude the human steering required to turn a
specified hypothesis into a literature-grounded, mathematically established, experimentally supported,
submission-oriented manuscript draft. pAI/MSc is built with a current emphasis on machine learning theory
and adjacent quantitative fields. | en_US |
| dc.publisher | Center for Brains, Minds and Machines (CBMM) | en_US |
| dc.relation.ispartofseries | CBMM Memo;160 | |
| dc.title | pAI/MSc: ML Theory Research with Humans on the Loop | en_US |
| dc.type | Article | en_US |
| dc.type | Technical Report | en_US |
| dc.type | Working Paper | en_US |
