Abstract: Implementations of this specification provide prediction methods and apparatuses for adjusting computing power. One method comprises receiving a prediction request, wherein the prediction request comprises a sample to be tested, determining a computing power coefficient allocated to the prediction request, wherein the computing power coefficient indicates a proportion of hardware computing power resources allocated to the prediction request to total hardware computing power resources needed for a neural network model to run on a computing platform, determining k sub-networks inn sub-networks of the neural network model to be used for a present time based on the computing power coefficient, where n>2, and inputting the sample to be tested to the k sub-networks to obtain a prediction result.

Abstract: A DNA movable type storage system and method based on movable type printing including: (1) construct a physical DNA movable type library of data payloads and a physical DNA movable type library of indexes based on “DNA movable type codebook”, which consist of a variety of DNA oligonucleotides corresponding to all “DNA payload movable type elements” and “DNA index movable type elements” in the two libraries, respectively; (2) transcode from the storage binary data into corresponding “DNA movable type units”, each of which contains corresponding DNA payload movable type elements and related DNA index movable type elements; (3) link the abovementioned DNA payload and index movable type elements to form a physical “DNA movable type unit”, and put all generated DNA movable type units together for DNA storage, which cover all data information of the target file.