The systems, devices, and methods described herein provide scalable methods for writing data to and reading data from nucleic acid molecules. The present disclosure covers four primary areas of interest: (1) accurately and quickly reading information stored in nucleic acid molecules, (2) partitioning data to efficiently encode data in nucleic acid molecules, (3) error protection and correction when encoding data in nucleic acid molecules, and (4) data structures to provide efficient access to information stored in nucleic acid molecules.

A system and method for selecting an optimal path in a multi-media multi-path network. The system for selecting an optimal path in a multi-media multi-path network includes a memory storing a program for selecting an optimal path in the multi-media multi-path network and a processor for executing the program, wherein the processor uses a network performance parameter, which serves as state information, as an input value of a reinforcement learning algorithm and selects an optimal path using a Q-table obtained by applying the reinforcement learning algorithm.

Provided are nucleic acid translators capable of carrying out logic operations with improved efficiency, maximized output and reduced off-target effects, in particular in a biological system. Methods of using these translators to transduce signal are also provided.

Systems and methods are provided for implementing safety-aware artificial intelligence (AI) that can be used for autonomously controlling systems, such as an autonomous vehicle, in a manner that is proven to satisfy given safety constraints. Additionally, a safety-aware training technique can be applied to learned AI-based models, such as neural networks. The safety-aware training techniques can apply automated reasoning tools (ART) while the AI model is trained, in order to produce a model that is provable safe with respect to the safety constraints. The ART can integrate verification into the training process, and thereby dynamically re-train the model based on the safety verification in a feedback loop approach. The ART can be configured to either verify that the AI model is provably safety, or to provide updates to the training parameters used during to re-train the AI model in instances when the safety verification has failed.

Methods are disclosed for analysing genetic data about an organism. In one arrangement, input units are derived from studies that provide information about the association between genetic variants and phenotypes. Input units are assigned to one of a plurality of clusters, based on an assessment of the extent to which input units share genetic variants that affect any aspect of the phenotype corresponding to each input unit or any of the underlying biological mechanisms of the phenotype, thereby identifying phenotypes that share underlying biological mechanisms.

A system and method for providing sequencing of biomolecules, which can be used for differential analysis of a test sample from a normal sample. Methods can involve steps of providing a mapped sequence file of each of a pilot test sample and a pilot normal sample, wherein each sequence file has a pilot number of reads; calculating, by a processor, a first test-normal genomic comparison pilot view from the sequence files of the pilot test sample and the pilot normal sample, wherein the first pilot view distinguishes pilot test sample data from pilot normal sample data based on at least one genomic parameter; calculating, by the processor, for each sequence file a downsampled sequence file having a reduced pilot number of reads; calculating, by the processor, a second test-normal genomic comparison pilot view from the downsampled sequence files of the pilot test sample and the pilot normal sample, wherein the second pilot view distinguishes the pilot test sample data from the pilot normal sample data based on the at least one genomic parameter; repeating the downsampling steps for determining the fewest pilot number of reads required for calculating a test-normal genomic comparison view that distinguishes the pilot test sample data from the pilot normal sample data based on the at least one genomic parameter; sequencing biomolecules of the test sample and the normal sample using a number of reads equal to the fewest pilot number of reads; calculating, by the processor, a test-normal genomic comparison view for displaying the differential analysis based on the at least one genomic parameter.

A computer-implemented method for efficient assembly of oligonucleotides for nucleic acid based data storage includes receiving encoded data including binary data encoded into nucleic acid sequence data, and assembling a target nucleic acid data strand based on the encoded data by concatenating one or more selected codeword oligonucleotides obtained from a codeword stack strand.

A method for execution by a dispersed storage and task (DST) processing unit includes generating contention level data by evaluating an update contention level in response to determining to update an entry of a node of a dispersed hierarchical index. The update of the node is executed when the contention level data indicates that the update contention level is favorable. An index update request is generated for transmission to an index update unit via a network when the contention level data indicates that the update contention level is unfavorable.

Disclosed herein are systems and methods executing a security server that perform various processes using alert elements containing various data fields indicating threats of fraud or attempts to penetrate an enterprise network. Using alert elements, the security server generate integrated alerts that are associated with customers of the system and assign a risk score for the integrated alerts, which the security server uses to store and sort the integrated alerts according to a priority, based on the relative risk scores. Analyst computers may query and fetch integrated alerts from an integrate alert database, and then present the integrate alerts to be addressed by an analyst according to the priority level of the respective integrated alerts. This allows to ensure that the right customer, is worked by the right analyst, at the right time, to maximize fraud prevention and minimize customer impact.

A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data includes an integrated circuit formed of a set of hardwired digital logic circuits that are interconnected by physical electrical interconnects. One of the physical electrical interconnects forms an input to the integrated circuit that may be connected with an electronic data source for receiving reads of genomic data. The hardwired digital logic circuits may be arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired digital logic circuits to perform one or more steps in the bioinformatics analysis on the reads of genomic data. Each subset of the hardwired digital logic circuits may be formed in a wired configuration to perform the one or more steps in the bioinformatics analysis.