So if race is disproportionately (but not explicitly) represented in the data fed to a data-mining algorithm, the algorithm can infer race and use race indirectly to make an ultimate decision.

A team from Google Research has open-sourced Model Search, an automated machine learning (AutoML) platform for designing deep-learning models. Experimental results show that the system produces models ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Student marks were instead determined by an algorithm, the Direct Centre Performance Model, which was chosen by the government’s exam regulator. The model drew on a collection of data to produce ...

Amid all the hype and hysteria about ChatGPT, Bard, and other generative large language models (LLMs), it’s worth taking a step back to look at the gamut of AI algorithms and their uses.After ...

This way, regardless of whether a machine or human constructs the model, there is oversight of the appropriateness of the model. Given the complexities of data analytics, explaining data and proving ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...

New algorithm cuts through 'noisy' data to better predict tipping points. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 04 / 240426165214.htm ...