Deal Magic Inc.

Savi Technology, Inc.

Other

Envotek Network Sdn Bhd (657306-w)

Timothy Dirk Stevens

Nicholas D Cova

Gary Nunes

Nicholas James Quinn

Chin Tong Tan

A system and method for recommending matches between persons are provided. Data processing is performed using artificial intelligence technology. A supervised machine learning engine is trained from empirical data about existing relationships which have been evaluated as to quality of the relationships. Quality of candidate relationships is calculated as an output of the supervised machine learning engine when provided input data of attributes of two candidate persons. Likelihood of a successful relationship between two candidate persons is predicted by comparing the calculated quality of the candidate relationship against a threshold. The prediction in this learning task may be made by a neural network. A user is notified of a candidate match that is likely to become a successful relationship.

System and method for recommending matches using machine learning

Recommending matches using machine learning

An apparatus, method and system for contextually aware monitoring of a supply chain are disclosed. In some implementations, contextually aware monitoring can include monitoring of the supply chain tradelane with tracking devices including sensors for determining location, velocity, heading, vibration, acceleration (e.g., 3D acceleration), or any other sensor that can monitor the environment of the shipping container to provide contextual awareness. The contextual awareness can be enabled by geofencing and recursive algorithms, which allow dynamic modification of the tracking device behavior. Dynamic modification can reduce performance to save power (e.g., save battery usage) and lower costs. Dynamic modification can increase performance where it matters in the supply chain for improved reporting accuracy or frequency or recognition of supply chain events. Dynamic modification can adapt performance such as wireless communications to the region or location of the tracking device.

Contextually aware monitoring of assets

An electronic security seal (e-Seal) is disclosed. The e-Seal monitors security of shipments including intermodal containers, reports tampers in real-time, monitors environmental status of goods and reports exceptions in real-time, and reports the location of the shipment with high frequency. The security monitoring complies with the ISO 17712 standard, adding electronic real-time reporting of tamper time and location and LED tamper indication. The e-Seal can be manufactured and operated at low cost due to diagnostic and logistic features. The e-Seal supports low cost upgrades due to a modular architecture allowing a plug-in update of separate functions. The e-Seal allows flexible usage across supply chain tradelanes, due to highly programmable operation including over-the-air remote programming via wireless communications. The e-Seal provides low power operation to save battery usage and lower costs.

Wireless tracking and monitoring electronic seal

A security electronic seal is described. The electronic seal uses a first shaft to lock an asset, and a second inexpensive consumable shaft to lock the first shaft. These shafts provide an electronic means of monitoring the security of the seal. The seal can detect tampering of the asset secured by the device, and in some implementations provides a wireless notification.

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Boulder, CO, United States of America

Timothy Dirk Stevens