In embodiments, a VDAX configured with an ecosystem security platform (ESP) and has a digital DNA assigned thereto that includes an eligibility object, a correlation object, and a differentiation object is disclosed. In embodiments, the ESP includes a DNA module configured to: manage and modify the DNA of the VDAX. The ESP also includes a link module that receives and decodes a link from a second VDAX that contains encoded GRI and decodes the encoded GRI based on the eligibility object and a modified correlation object. The ESP includes a sequence mapping module that maps a sequence from a first portion of a digital object to be provided to the second VDAX into a modified differentiation object modified using the GRI to obtain an engagement factor. The ESP includes a transformation module that generates a VBLS object by encoding a second portion of the digital object using the engagement factor.

In embodiments, a VDAX configured with an ecosystem security platform (ESP) and has a digital DNA assigned thereto that includes an eligibility object, a correlation object, and a differentiation object is disclosed. In embodiments, the ESP includes a DNA module configured to: manage and modify the DNA of the VDAX. The ESP also includes a link module that receives and decodes a link from a second VDAX that contains encoded GRI and decodes the encoded GRI based on the eligibility object and a modified correlation object. The ESP includes a sequence mapping module that maps a sequence from a first portion of a digital object to be provided to the second VDAX into a modified differentiation object modified using the GRI to obtain an engagement factor. The ESP includes a transformation module that generates a VBLS object by encoding a second portion of the digital object using the engagement factor.

According to some embodiments, a system for performing secure data exchange in a digital ecosystem is disclosed. The system includes a plurality of progeny VDAXs, wherein each respective progeny VDAX is configured with a respective ecosystem security platform that is executed by a respective device and has a respective genomic data set assigned thereto. The respective ecosystem security platform is configured to: establish engagement eligibility with another progeny VDAXs of the plurality of progeny VDAXs based on its genomic data set, generate a spawned link that includes encoded regulation instructions and is sent to the other progeny VDAX, and decode VBLS objects that are encoded by the other progeny VDAX based on the unique genomic regulation instructions that were included in the spawned link and the genomic data set assigned to the respective progeny VDAX to obtain decoded digital objects.

According to some embodiments, a system for performing secure data exchange in a digital ecosystem is disclosed. The system includes a plurality of progeny VDAXs, wherein each respective progeny VDAX is configured with a respective ecosystem security platform that is executed by a respective device and has a respective genomic data set assigned thereto. The respective ecosystem security platform is configured to: establish engagement eligibility with another progeny VDAXs of the plurality of progeny VDAXs based on its genomic data set, generate a spawned link that includes encoded regulation instructions and is sent to the other progeny VDAX, and decode VBLS objects that are encoded by the other progeny VDAX based on the unique genomic regulation instructions that were included in the spawned link and the genomic data set assigned to the respective progeny VDAX to obtain decoded digital objects.

A method for maintaining a material data blockchain (MDC) is disclosed. The method includes receiving a material data block (MDB), wherein the MDB includes a metadata portion and a payload portion. The method further includes extracting a first sequence from the metadata portion and generating a genomic engagement factor (GEF) based on the sequence, a genomic differentiation object assigned to the creator VDAX, and genomic regulation instructions (GRI) that are maintained by the creator VDAX. The method further includes generating a creator value corresponding to the MDB based on the first GEF and the MDB and digitally signing the MDB with the creator value. The method includes providing the unnotarized MDB to one or more notary cohorts; and receiving a respective notary value from each of the notary cohorts, wherein each notary value is generated using respective GRI and genomic differentiation object maintained by a respective notary.

A method for maintaining a material data blockchain (MDC) is disclosed. The method includes receiving a material data block (MDB), wherein the MDB includes a metadata portion and a payload portion. The method further includes extracting a first sequence from the metadata portion and generating a genomic engagement factor (GEF) based on the sequence, a genomic differentiation object assigned to the creator VDAX, and genomic regulation instructions (GRI) that are maintained by the creator VDAX. The method further includes generating a creator value corresponding to the MDB based on the first GEF and the MDB and digitally signing the MDB with the creator value. The method includes providing the unnotarized MDB to one or more notary cohorts; and receiving a respective notary value from each of the notary cohorts, wherein each notary value is generated using respective GRI and genomic differentiation object maintained by a respective notary.

Disclosed herein are embodiments of methods for encoding, decoding, and matching patterns in collections of signals. These methods use weighting functions to scale the signals. This scaling enables the use of signals of arbitrary duration, wherein the signals may include discrete sequences and spike trains. In the most general case, the signals can be represented using functionals, which extends the expressive power of the methods. Further disclosed herein are embodiments of a system that performs these methods.

Techniques to suggest alternative chemical compounds that can be used to recreate or mimic a target flavor using artificial intelligence are disclosed. A neural network based model is trained on source chemical compounds and their corresponding flavors and odors. The neural network-based model learns compound embeddings of the source chemical compounds and a target chemical compound of a food item. From the compound embeddings, one or more chemical compounds that are closest to the target chemical compound may be determined by a distance metric. Each suggested chemical compound is an alternative that can be used to recreate functional features of the target chemical compound.

Techniques to suggest alternative chemical compounds that can be used to recreate or mimic a target flavor using artificial intelligence are disclosed. A neural network based model is trained on source chemical compounds and their corresponding flavors and odors. The neural network-based model learns compound embeddings of the source chemical compounds and a target chemical compound of a food item. From the compound embeddings, one or more chemical compounds that are closest to the target chemical compound may be determined by a distance metric. Each suggested chemical compound is an alternative that can be used to recreate functional features of the target chemical compound.

Some embodiments disclosed herein provide a plurality of compositions each comprising a protein binding reagent conjugated with an oligonucleotide. The oligonucleotide comprises a unique identifier for the protein binding reagent it is conjugated with, and the protein binding reagent is capable of specifically binding to a protein target. Further disclosed are methods and kits for quantitative analysis of a plurality of protein targets in a sample and for simultaneous quantitative analysis of protein and nucleic acid targets in a sample. Also disclosed herein are systems and methods for preparing a labeled biomolecule reagent, including a labeled biomolecule agent comprising a protein binding reagent conjugated with an oligonucleotide.