A method is provided to create lead compound(s) by discovering a general chemical structure, moieties, formula(s) to explore suitable compositions by computer simulation and/or robotic biological or biochemical experiments at least partially based upon employing said lead compound(s) discover method, which includes steps for inputting at least one chemical formula and at least one byproduct formula, steps for creating a list of dipeptides that might dissociate the byproduct from the input formula by way of catalysis, steps for using these dipeptides to fingerprint a protein from its peptide sequence, and searching a protein database or use experimental methods to search for such proteins. A composition creating means is provide by way of computer simulation and/or robotic biological or biochemical experiments at least partially based upon employing, as lead compound(s), the final chemical structure, moieties, formula(s) generated and communicated the above method.

A method and system of generating a route includes receiving information regarding a set of nodes to be serviced. One or more parameters of each node are determined. A capacity of each of the one or more vehicles is determined. A classical computer is used to generate a set of feasible routes based on the one or more parameters of each node and the capacity of each of the one or more vehicles. A number of bags N to divide the set of feasible routes is determined. The feasible routes are distributed into the N bags. The N bags are sent to a quantum computer to calculate a most efficient combination of feasible routes that cover all nodes to be serviced.

An extracted hypothesis has logical formulas leading to a possible conclusion. If the logical formulas include one including a first parameter a value obtained from observation data and a second parameter that does not have a value obtained from the observation data, the logical formula is set as a target logical formula, and a value of the second parameter acquired based on the observation data is input. If there is no such logical formula, but there is a logical formula that has, for one or more parameters, a value set in advance or obtained using inference knowledge, whether this logical formula is true or false is determined. When whether the logical formula is true or false is determined, or, when the value of the second parameter is input, the logical formula is added to the observation data, and a hypothesis is derived again.

In some embodiments, a robotic process automation (RPA) design application provides a user-friendly graphical user interface that unifies the design of automation activities performed on desktop computers with the design of automation activities performed on mobile computing devices such as smartphones and wearable computers. Some embodiments connect to a model device acting as a substitute for an actual automation target device (e.g., smartphone of specific make and model) and display a model GUI mirroring the output of the respective model device. Some embodiments further enable the user to design an automation workflow by directly interacting with the model GUI.

Aspects and examples are disclosed for improving multi-factor authentication techniques to control access to secured electronic resources. In one example, a decisioning computer system evaluates, based on a passive-dimension decision process, an access request, received from a user device, for a secured electronic resource. The passive-dimension decision process can evaluate dimensions associated with the access request, such as identity or device characteristics, to determine whether the dimensions of the access request are outside of norms for the user. Based on the passive-dimension decision model, the decisioning computing device may communicate to the user device an access decision, the access decision describing one or more of an access authorization, a denial of access, or a supplemental authentication challenge.

An information processing apparatus according to the present invention includes: an acceptance unit that accepts a process request to an operation system; a specifying unit that, based on the process request, specifies an operation task to be executed in the operation system; an extraction unit that performs text analysis on the process request and extracts an answer item corresponding to an input item required at execution of the operation task from the process request; and an execution unit that executes the operation task based on the answer item.

Various embodiments are provided for learning policy explanations in a computing environment by a processor. One or more explanations may be provided that justify validity or invalidity of a claim based on one or more rules extracted from one or more segments of text data of a policy data source using a machine learning operation.

A system for an artificial intelligence alimentary professional support network for vibrant constitutional guidance includes at least a server. The system includes a diagnostic engine designed and configured to receive a biological extraction from a user and generate a diagnostic output based on the biological extraction. The system includes an advisor module designed and configured to receive a request for an advisory input, generate an advisory output using the request for an advisory input and the diagnostic output, and transmit the advisory output. The system includes an alimentary input module designed and configured to receive the advisory output, select an informed advisor alimentary professional client device as a function of the request for an advisory input, and transmit the at least an advisory output to the informed advisor alimentary professional client device.

In some embodiments, a robotic process automation (RPA) design application provides a user-friendly graphical user interface that unifies the design of automation activities performed on desktop computers with the design of automation activities performed on mobile computing devices such as smartphones and wearable computers. Some embodiments connect to a model device acting as a substitute for an actual automation target device (e.g. smartphone of specific make and model) and display a model GUI mirroring the output of the respective model device. Some embodiments further enable the user to design an automation workflow by directly interacting with the model GUI.

A search engine (200, 500, 800), method and a system for performing a search is provided. The search engine (200, 500, 800) is connected to at least one mobile device (210, 510, 810) and at least one web crawler (222, 522, 822). The web crawler (222, 522, 822) is configured to index documents and classify said documents. The search engine (200, 500, 800) receives a query from the mobile device (210, 510, 810) which is determined to be best answered by a crowd-sourced answer. The search engine (200, 500, 800) searches the documents and delivers at least one crowd-sourced answer (318, 618, 918). The search engine (200, 500, 800) displays the crowd-sourced answer (318, 618, 918) to a user.