Embodiments for managing the utilization of software releases are provided. Information associated with a software release and at least one early adopter of the software release is analyzed to calculate a severity score for the software release. A time to utilize the software release is determined based on the calculated severity score.

Embodiments for managing the utilization of software releases are provided. Information associated with a software release and at least one early adopter of the software release is analyzed to calculate a severity score for the software release. A time to utilize the software release is determined based on the calculated severity score.

An artificial intelligence (AI) robot includes a body for defining an exterior appearance and containing a medicine to be discharged according to a medication schedule, a support, an image capture unit for capturing an image within a traveling zone to create image information, and a controller for discharging the medicine to a user according to the medication schedule, reading image data of the user to determine whether the user has taken the medicine, and reading image data and biometric data of the user after the medicine-taking to determine whether there is abnormality in the user. The AI robot identifies a user and discharges a medicine matched with the user, so as to prevent errors. The AI robot detects a user's reaction after medicine-taking through a sensor, and performs deep learning, etc. to learn the user's reaction, to determine an emergency situation, etc. and cope with a result of the determination.

An artificial intelligence (AI) robot includes a body for defining an exterior appearance and containing a medicine to be discharged according to a medication schedule, a support, an image capture unit for capturing an image within a traveling zone to create image information, and a controller for discharging the medicine to a user according to the medication schedule, reading image data of the user to determine whether the user has taken the medicine, and reading image data and biometric data of the user after the medicine-taking to determine whether there is abnormality in the user. The AI robot identifies a user and discharges a medicine matched with the user, so as to prevent errors. The AI robot detects a user's reaction after medicine-taking through a sensor, and performs deep learning, etc. to learn the user's reaction, to determine an emergency situation, etc. and cope with a result of the determination.

Methods, apparatus, systems and articles of manufacture to improve accuracy of a fog/edge-based classifier system are disclosed. An example apparatus includes a transducer to mounted on a tracked object, the transducer to generate data samples corresponding to the tracked object; a discriminator to: generate a first classification using a first model based on a first calculated feature of the first data samples from the transducer, the first model corresponding to calculated features determined from second data samples, the second data samples obtained prior to the first data samples; generate an offset based on a difference between a first model feature the first model and a second model feature of a second model, the second model being different than the first model; and adjust the first calculated feature using the offset to generate an adjusted feature; a pattern matching engine to generate a second classification using vectors corresponding to the second model based on the adjusted feature; and a counter to, when the first classification matches the second classification, increment a count.

The improved exercise of artificial intelligence by providing a systematic way for a computing system to interface with output from AI models. To do this, the computing system obtains results of an input data set being applied to an AI model. The results are then refined based upon characteristic(s) of the AI model and perhaps the input data set. Based upon characteristic(s) of the AI model and perhaps the input data set, interface element(s) are identified that can be used to interface with the refined results. The interface element(s) are then communicated to an interface element that interfaces with the refined results. The interface element(s) may include, for instance, operator(s) or term(s) that may be used to query against the refined results and/or an identification of visualization(s) that may be used to present to a user results of queries against the refined results.

The improved exercise of artificial intelligence by providing a systematic way for a computing system to interface with output from AI models. To do this, the computing system obtains results of an input data set being applied to an AI model. The results are then refined based upon characteristic(s) of the AI model and perhaps the input data set. Based upon characteristic(s) of the AI model and perhaps the input data set, interface element(s) are identified that can be used to interface with the refined results. The interface element(s) are then communicated to an interface element that interfaces with the refined results. The interface element(s) may include, for instance, operator(s) or term(s) that may be used to query against the refined results and/or an identification of visualization(s) that may be used to present to a user results of queries against the refined results.

Provided is a process that includes sharing information among two or more parties or systems for modeling and decision-making purposes, while limiting the exposure of details either too sensitive to share, or whose sharing is controlled by laws, regulations, or business needs.

Disclosed herein an artificial intelligence (AI) apparatus for controlling authority to use an external device based on user identification using image recognition including a memory configured to store information on a user registered in the AI apparatus and authority information indicating whether a user is capable of use at least one external device under a predetermined condition, a communicator configured to receive a first image file obtained by photographing an environment including the at least one external device, a learning processor configured to provide the first image file to an image recognition model for specifying a face of a person included in an image file and an external device to be used by the person to specify first face information of a person included in the first image file and information on a first external device to be used by the person in the first image file, and a processor configured to control use of the first external device by the first user based on the authority, by acquiring a first user corresponding to the first face information and authority information of the first user.

Disclosed herein an artificial intelligence (AI) apparatus for controlling authority to use an external device based on user identification using image recognition including a memory configured to store information on a user registered in the AI apparatus and authority information indicating whether a user is capable of use at least one external device under a predetermined condition, a communicator configured to receive a first image file obtained by photographing an environment including the at least one external device, a learning processor configured to provide the first image file to an image recognition model for specifying a face of a person included in an image file and an external device to be used by the person to specify first face information of a person included in the first image file and information on a first external device to be used by the person in the first image file, and a processor configured to control use of the first external device by the first user based on the authority, by acquiring a first user corresponding to the first face information and authority information of the first user.