AT&T Intellectual Property I, LP

Joshua Whitney

Eric Martin Zavesky

Martin Patrick McEnroe

Rhonda Green

Mark D Austin

Abhay Dabholkar

Vijayan Nagarajan

Lauren Savage

Aarthi Reddy

Divesh Srivastava

Yaron Kanza

Chih Chien Huang

Melissa Lee

Johan Muedsam

Jean Luo

Matt Dugan

Meredith Ordway-West

Mukund Rao

In a dataset exchange environment in which datasets are available for exchange or transformation, a dataset validation platform may be configured to update a cryptographically signed record based on each dataset that is available via the data exchange environment. The dataset validation platform may be further configured to control access to the datasets based on whether a request to access a particular dataset is compliant with an availability requirement of the particular dataset. The dataset validation platform may be further configured to update the cryptographically signed record based on requests to access the datasets, transformations that are based on the datasets, or modifications to the availability requirement of the datasets, such as a modification to a privacy limitation or other availability requirement indicating a criteria for usage of the requested dataset.

Controlling access to datasets described in a cryptographically signed record

Aspects of the subject disclosure may include, for example, receiving a plurality of proposed machine learning solutions to a machine learning problem including receiving, for each respective proposed machine learning solution of the plurality of proposed machine learning solutions, one or more of a machine learning model, a dataset and a data pipeline output; automatically determining hybrid solutions to the machine learning problem, including combining, by the processing system, at least one of a first component from a first proposed machine learning solution with at least one of a second component from a second proposed machine learning solution; and ranking the hybrid solutions including determining a log loss score for each hybrid solution and sorting the hybrid solutions according to the log loss score for each hybrid solution. Other embodiments are disclosed.

System, method, and platform for auto machine learning via optimal hybrid AI formulation from crowd

A method, computer-readable medium, and apparatus for classifying IP network traffic are disclosed. For example, a method may include a processor for applying a regularized probabilistic model to internet protocol network traffic for performing geolocation, wherein the internet protocol network traffic contains internet protocol address information, detecting an outlier in the internet protocol network traffic, wherein the outlier is associated with a transaction over a network, and performing a remedial action to address the outlier.

Providing security through characterizing internet protocol traffic to detect outliers

A trust-less system for sharing event information among autonomous nodes may include: a plurality of autonomous nodes, each of which creates an event related to a condition, a first ledger configured to collect and store a record of each event; a second ledger configured to store reputation information for the plurality of autonomous nodes; and a bookmaker module operable to determine a reward and a penalty for each event. The bookmaker module may be operable to modify the reputation information based on a status of the condition determined by subsequent events created by autonomous nodes where the subsequent events either validate or invalidate the condition.

Method and system for stake-based event management with ledgers

Aspects of the subject disclosure may include, for example, embodiments include receiving first user-generated input from a recruiter device. The recruiter device is associated with a manager of a group. Further embodiments include generating a first smart contract between an applicant and the manager according to the first user-generated input. The generating of the first smart contract comprises generating the first smart contract on a blockchain. Additional embodiments can include providing the applicant access to the group according to the first smart contract, receiving second user-generated input from the recruiter device, and generating a second smart contract between a record keeper and the manager according to the second user-generated input. The generating of the second smart contract comprises generating the second smart contract on the blockchain. Also, embodiments can include providing the record keeper access to the group according to the second smart contract. Other embodiments are disclosed.

Methods, devices and systems for managing group membership and record verification using blockchain

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Richardson, TX, United States of America

Joshua Whitney