Mikael Brunila
Biographic Data
| ID | 8575002 |
|---|---|
| NAME | Mikael Brunila |
| GIVEN NAMES | Mikael |
| FAMILY NAME | Brunila |
| SIGNATURE | BRUNILA M |
| AFFILIATIONS | McGill University |
| ORCID | 0000-0002-5936-8251 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Cosine capital
This article describes the emergence of a novel form of capital—which I call “cosine capital”—that finds objectified form in the “embedding” structures of large language models. In the past decade, massive neural network architectures transformed computational approaches to language in the form of large language models. This approach to modeling language is now being adapted to nearly any sequential data structure imaginable in both academia and …
High Rises and Housing Stress
Problem, research strategy, and findings The financialization of housing is a rapidly growing concern for planning researchers and policymakers, but the opacity of property ownership in most cities has hampered efforts to rigorously measure the phenomenon. Here we introduce a new approach based on big data methods. By combining web scraping of property assessment, business registry, and rental advertisement data, we reliably identified the networ…
No prominent works on this page.
High Rises and Housing Stress
Problem, research strategy, and findings The financialization of housing is a rapidly growing concern for planning researchers and policymakers, but the opacity of property ownership in most cities has hampered efforts to rigorously measure the phenomenon. Here we introduce a new approach based on big data methods. By combining web scraping of property assessment, business registry, and rental advertisement data, we reliably identified the networ…
Cosine capital
This article describes the emergence of a novel form of capital—which I call “cosine capital”—that finds objectified form in the “embedding” structures of large language models. In the past decade, massive neural network architectures transformed computational approaches to language in the form of large language models. This approach to modeling language is now being adapted to nearly any sequential data structure imaginable in both academia and …
Abstraction (1 works) · Business (1 works) · Commodification (1 works) · Complex Systems and Time Series Analysis (1 works) · Computability, Logic, AI Algorithms (1 works) · Economic rent (1 works) · Economics (1 works) · Embedding (1 works) · Finance (1 works) · Financialization (1 works)