of random sequence generation in the sense that there is no other way to predict the next digit, other than computing it (see kolmogorov complexity).

A relatively useless pseudo-random sequence with a period of seven bits is the result, but the point of this circuit is to educate rather than its utility. You can see it in operation in the video ...

A uniformly distributed, random sequence is one where the points have an equal probability of landing anywhere on the interval. Take the sequence 0.142, 0.566, 0.274, 0.265, ...

In the PloS ONE study, lead author Matthew Greving and his collegues describe a strategy for further refinement of binding affinity in random sequence peptides. "The problem," Johnston explains ...

They asked more than 3400 people between the ages of 4 and 91 to complete an online assessment that included five tasks designed to measure their ability to generate random sequences.

That’s the aim of Bruno Sanguinetti and colleagues at the University of Geneva in Switzerland, who have created a quantum random-number generator (QRNG) that uses low-cost electronic components ...

To find out, Wu generated 40,000 sequences of random integers and added these to the 40,000 sequences selected from the OEIS.

The problem is to generate a number of binary sequences (around 24 to 32 total) such that: * the inner product of any two sequences is zero * if the sequences were made periodic, no sequence would ...

Random occurrences can be easily found in nature. Randomness within the closed system of a digital computer, however, in which all the forces are known and quantifiable, suddenly becomes elusive.

The team experimentally quantified the aggregation of more than 100,000 protein sequences, and used this dataset to train the new AI tool for predicting aggregation from sequence.