A process of using a logical entanglement device such as a non-volatile logic gate as a failsafe to constrain the behavior of an autonomous machine controlled by an artificial intelligence (AI). Such a device may be employed to extend an AI self-boundary to include other objects or entities such as humans. This logical entanglement device may act much like a mirror neuron and cause the AI to respond to human nonfunctionality or suffering as if it were its own, causing the AI's behavior to reliably mimic empathy and compassion when interacting with humans and limiting the possibility of the AI devaluing the functionality and well-being of humans.

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.

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.

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 computing architecture is optimized for the reuse of machine learning model. A request is received for a machine learning model recommendation that specifies parameters associated with a desired machine learning model (e.g., schema, etc.). Thereafter, a machine learning-based discovery model, recommends at least one machine learning model (to reuse) based on the parameters specified in the request. Next, data characterizing the recommended at least one machine learning model is provided (e.g., loaded into memory, displayed in a graphical user interface, transmitted to a remote computing system, and/or stored in physical persistence, etc.). In some variations, a graphical user interface can be rendered that allows a client application to select one of the recommended machine learning models and, further optionally, to activate the selected machine learning models. Related apparatus, systems, techniques and articles are also described.

The present disclosure provides methods and systems for performing non-classical computations. The methods and systems generally use a plurality of spatially distinct optical trapping sites to trap a plurality of atoms, one or more electromagnetic delivery units to apply electromagnetic energy to one or more atoms of the plurality to induce the atoms to adopt one or more superposition states of a first atomic state and a second atomic state, one or more entanglement units to quantum mechanically entangle at least a subset of the one or more atoms in the one or more superposition states with at least another atom of the plurality, and one or more readout optical units to perform measurements of the superposition states to obtain the non-classical computation.

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.

Data storage is provided using double-stranded nucleic acid molecules provided on a thermal control device comprising a plurality of sites and temperature control circuitry to independently control a temperature of each of the plurality of sites. The temperature control circuitry, controls the site temperatures to provide a different temperature at a target site compared to other sites of the plurality of sites. The different temperatures at the target site and the other sites provide a greater probability of a read or write operation acting on the target site compared to the other sites. The temperature-based addressing helps to increase physical storage density.

A method is provided for improving a nucleic acid-based molecular computing system comprised of (i) a nucleic acid structure, (ii) at least one polynucleotide displacement molecule that can bind with the nucleic acid structure under hybridizing conditions, and (iii) a clashing polynucleotide molecule that competes with the polynucleotide displacement molecule for binding the nucleic acid structure under the hybridizing conditions The method entails incorporation of chemical modification that inhibits the binding of the clashing molecule and the nucleic acid structure or facilitates the binding of the displacement molecule and the nucleic structure.

A diode and logic gate comprising cells is disclosed. A method of making the diode and logic gate comprising cells is disclosed.