Conceptual engineering includes or should include de novo conceptual engineering (designing a new concept) as well as conceptual re-engineering (fixing an old concept). It should also include heteronymous (different-word) as well as homonymous (same-word) conceptual engineering. I discuss the ...
Conceptual engineers aim to revise rather than describe our concepts. But what are concepts? And how does one engineer them? Answering these questions is of central importance for implementing and theorizing about conceptual engineering. This paper discusses and criticizes two influential views of this...
J. (2020). What is conceptual engineering and what should it be? Inquiry, 0(0), 1-18. Chang, H. (2012). Is water H2O? Evidence, Realism and Pluralism: Boston Studies in the Philosophy; History of Science. Charney, E. (1965). Structural semantics: Theory of sentential meaning. ...
ML engineer’s job. MLOps is “an approach to managing the entire lifecycle of a machine learning model”.40from training through daily use up to retirement. ML engineers tend to have knowledge of “mathematics and statistics, in addition to data modeling, feature engineering and programming”....
1. “It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.”–Stanford ...
How does the reverse-engineering process work? The reverse-engineering process is specific to the object on which its being performed. However, no matter the context, there are three general steps common to all reverse-engineering efforts. They include: ...
Security awareness training can be effective, especially when training emphasizes conceptual knowledge and direct feedback. Common indications of a phishing attempt are: The use of subdomains, misspelled URLs (typosquatting) or otherwise suspicious URLs The sender uses a Gmail or other free email ...
Digital data is collected from a variety of sources, such as computers,sensors, monitors, smartphones and internet of things (IoT) devices. Data is used extensively in business, government, science and engineering, although consumers also store and exchange ample amounts of data. Data can also ...
AI is here to stay. To outcompete in the future, organizations and individuals alike need to get familiar fast. This series of McKinsey Explainers dives deep into the seven technologies that are already shaping the years to come. Conceptual illustration of 7 glasslike panels floating over a ...
Discover flow engineering: essential for crafting intelligent coding systems by breaking complex tasks into systematic, manageable workflows.