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Can the bias in algorithms help us see our own?

Algorithms were supposed to make our lives easier and fairer: help us find the best job applicants, help judges impartially assess the risks of bail and bond decisions, and ensure that health care is delivered to the patients ...

Researcher creates algorithm to aid in discovery of new medicines

Ph.D. candidate Jeroen Methorst has developed a computer system that helps researchers find the protein they need to create new medicines. "Our whole group is now using this program," says Methorst. He will defend his Ph.D. ...

Engineers manage a first: Measuring pH in cell condensates

Scientists trying to understand the physical and chemical properties that govern biomolecular condensates now have a crucial way to measure pH and other emergent properties of these enigmatic, albeit important, cellular compartments.

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Algorithm

In mathematics, computing, linguistics, and related subjects, an algorithm is a finite sequence of instructions, an explicit, step-by-step procedure for solving a problem, often used for calculation and data processing. It is formally a type of effective method in which a list of well-defined instructions for completing a task, will when given an initial state, proceed through a well-defined series of successive states, eventually terminating in an end-state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as probabilistic algorithms, incorporate randomness.

A partial formalization of the concept began with attempts to solve the Entscheidungsproblem (the "decision problem") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define "effective calculability" (Kleene 1943:274) or "effective method" (Rosser 1939:225); those formalizations included the Gödel-Herbrand-Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's "Formulation 1" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939.

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