A method for execution by a dispersed storage network (DSN) managing unit includes receiving access information from a plurality of distributed storage and task (DST) processing units via a network. Cache memory utilization data is generated based on the access information. Configuration instructions are generated for transmission via the network to the plurality of DST processing units based on the cache memory utilization data.

Systems and methods for scoring and visualizing the effects of variants in biological sequences. Variants may include substitutions, insertions and deletions. The method comprises encoding biological sequences as vector sequences and then operating a neural network in the forward-propagation mode and possibly in the back-propagation mode to compute variant scores. Variant scores are determined by normalizing the gradients. Variant scores may be used to select a subset of variants, which are then used to produce modified vector sequences which are analyzed by the neural network operating in forward-propagation mode, to determine improved variant scores. The variant scores may be visualized using black and white, greyscale or colored elements that are arranged in blocks with dimensions corresponding to different possible symbols and the length of the sequence. These blocks are aligned with the biological sequence, which is illustrated by a symbol sequence arranged in a line.

Systems and techniques are disclosed for a blockchain network based on machine learning-based proof of work. One of the methods includes accessing a blockchain associated with a blockchain network, and obtaining a first error value specified in a block of the blockchain, the first error value being associated with a machine learning model identified in the block, and the blockchain recording machine learning models. A new machine learning model associated with a second error value is determined, with the second error value being less than the first error value. A block proposal identifying the new machine learning model is generated, the block proposal specifying the first error value. Transmission of the block proposal to other entities is caused. In response to greater than a threshold percentage of the entities approving the block proposal, inclusion of the block proposal in the blockchain is caused.

Provided is a quantum computer which makes it possible to easily carry out quantum calculation. A quantum computer (10) includes electrodes (20) and (21), a molecule (22) that is entirely or partially provided between the electrodes (20) and (21), and a current sensor 13 that detects a tunneling current which flows between the electrodes (20) and (21) via the molecule (22). The molecule (22) works as a quantum circuit for carrying out quantum calculation.

New and improved methods and systems for modeling the performance of selected company metrics. Multiple, non-traditional sets of objective data along with mathematical analytical techniques are used to provide transparency and visibility into company performance relating to the particular metrics. Company inflection points and changes in strategy may be identified. The performance of a company and/or the performance of a selected industry or industry sector may be analyzed.

A method for evaluating bioavailability of organic nitrogen in sewage through machine learning, includes: collecting the molecular composition information and bioavailability data of organic nitrogen in a sewage sample; establishing a model for predicting bioavailability of organic nitrogen in sewage through machine learning; measuring the molecular composition information of organic nitrogen in sewage from a target sewage plant; and predicting, according to the model, the bioavailability of the organic nitrogen in the sewage from the target sewage plant.

One example method includes encoding data as a polysaccharide structure, synthesizing the polysaccharide structure to create polysaccharide storage media that comprises the data, and storing the polysaccharide storage media. The example method may also include receiving a read request directed to the polysaccharide storage media, mapping the polysaccharide structure to create a map in response to the read request, traversing the map of the polysaccharide structure to determine an X-base number, and obtaining the data by converting the X-base number to a binary form.

Methods and systems for security, authentication, tagging, and tracking using nucleic acid (e.g., deoxyribonucleic acid) molecules encoding information. Unique nucleic acid molecules are efficiently produced from pre-fabricated fragments to quickly produce libraries of nucleic acid molecules encoding encrypted or randomized information. Physical objects or artifacts can be tagged with libraries to authenticate the objects, grant access to secured assets or locations, or track the objects or entities. Chemical methods can be applied to verify authenticity, decrypt, or decode information stored in the libraries.

Provided herein are novel Class 2 Type II and Type V CRISPR-Cas RNA-guided endonucleases, e.g. Cas9 and Cas12 endonucleases, and systems comprising the same. Provided also are methods of making, and methods of use thereof. Exemplary methods of use include modifying target DNAs and detecting targeting DNAs, useful for therapeutic and diagnostic applications. Some of the diagnostic applications may utilise the collateral nuclease activity of an enzyme bound to a target sequence.

Methods for controlled segregation of blocks of information encoded in the sequence of a biopolymer, such as nucleic acids and polypeptides, with rapid retrieval based on multiply addressing nanostructured data have been developed. In some embodiments, sequence controlled polymer memory objects include data-encoded biopolymers of any length or form encapsulated by natural or synthetic polymers and including one or more address tags. The sequence address labels are used to associate or select memory objects for sequencing read-out, enabling organization and access of distinct memory objects or subsets of memory objects using Boolean logic. In some embodiments, a memory object is a single-stranded nucleic acid scaffold strand encoding bit stream information that is folded into a nucleic acid nanostructure of arbitrary geometry, including one or more sequence address labels. Methods for controlled degradation of biopolymer-encoded blocks of information in the memory objects are also developed.