The algorithm addresses something called the library sorting problem (more formally, the “list labeling” problem). The challenge is to devise a strategy for organizing books in some kind of sorted ...

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...

Theoretical methods involve using mathematical tools, such as asymptotic notation, recurrence relations, or master theorem, to derive the upper and lower bounds of your algorithm complexity.

The model and algorithm developed by Gomez and his collaborators are currently in the patent-pending process. They also tested the method using retrospective data from a cohort of 166 patients.

Omitting race and ethnicity from colorectal cancer (CRC) recurrence risk prediction models could decrease their accuracy and fairness, particularly for minority groups, potentially leading to ...

Consequently, when a user submits a search query, AlphaDev’s algorithm facilitates faster sorting of results, leading to significant time and energy savings when employed on a large scale.

When asked to create a sorting algorithm, AlphaDev came up with one that was 70 per cent faster than the best for lists of five pieces of data and 1.7 per cent faster for lists of over 250,000 items.

The longest algorithm it produced was 130 instructions long, for sorting a list of up to five items. At each step, AlphaDev picked from 297 possible assembly instructions (out of many more).