Abstract: A method, computer program product, and computer system for public speaking guidance is provided. A processor retrieves speaker data regarding a speech made by a user. A processor separates the speaker data into one or more speaker modalities. A processor extracts one or more speaker features from the speaker data for the one or more speaker modalities. A processor generates a performance classification based on the one or more speaker features. A processor sends to the user guidance regarding the speech based on the performance classification.

Abstract: An integrated circuit package including electrically floating metal lines and a method of forming are provided. The integrated circuit package may include integrated circuit dies, an encapsulant around the integrated circuit dies, a redistribution structure on the encapsulant, a first electrically floating metal line disposed on the redistribution structure, a first electrical component connected to the redistribution structure, and an underfill between the first electrical component and the redistribution structure. A first opening in the underfill may expose a top surface of the first electrically floating metal line.

Abstract: A computer-implemented method according to one embodiment includes running an initial network on a plurality of images to detect actors pictured therein and body joints of the detected actors. The method further includes running fully-connected networks in parallel, one fully-connected network for each of the detected actors, to reconstruct complete three-dimensional poses of the actors. Sequential model fitting is performed on the plurality of images. The sequential model fitting is based on results of running the initial network and the fully-connected networks. The method further includes determining, based on the sequential model fitting, a locational position for a camera in which the camera has a view of a possible point of collision of two or more of the actors. The camera is instructed to be positioned in the locational position.

Abstract: A waste collection apparatus for collecting waste in water is provided. The waste collection apparatus includes a floating device and a waste collection device coupled to the floating device. The floating device includes a plurality of floating units. The waste collection device is coupled to the floating device. Each of the floating units includes a base and a pillar connected to the base, and the density of the base is greater than the density of the pillar.

Abstract: A waste collection apparatus for collecting waste in water is provided. The waste collection apparatus includes a floating device and a waste collection device coupled to the floating device. The waste collection device includes a fluid ejection element, and the flow out of the fluid ejection element flows toward a space where waste is collected.

Abstract: A computer-implemented method for generating a custom thumbnail is disclosed. The computer-implemented method includes segmenting an audio file into one or more audio segments based, at least in part, on a respective context associated with each of the one or more audio segments. The computer-implemented method further includes selecting an initial thumbnail image based, at least in part, on one or more contexts associated with the one or more audio segments. The computer-implemented method further includes generating a customized thumbnail image based, at least in part, on performing a neural style transfer of the initial thumbnail image and a style reference image.

Abstract: A computer-implemented method according to one embodiment includes running an initial network on a plurality of images to detect actors pictured therein and body joints of the detected actors. The method further includes running fully-connected networks in parallel, one fully-connected network for each of the detected actors, to reconstruct complete three-dimensional poses of the actors. Sequential model fitting is performed on the plurality of images. The sequential model fitting is based on results of running the initial network and the fully-connected networks. The method further includes determining, based on the sequential model fitting, a locational position for a camera in which the camera has a view of a possible point of collision of two or more of the actors. The camera is instructed to be positioned in the locational position.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving a request, dynamically generate a composite application that includes one or more micro applications based, at least in part, on a user's intention.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving a request, dynamically generate a composite application that includes one or more micro applications based, at least in part, on a user's intention.

Abstract: A live stream, that includes a video stream and an audio stream, of a presenter is monitored. The live stream is attended by an audience that includes one or more audience members. One or more stream content features of the live stream at a first window of time is transmitted to a multimodal machine learning model. One or more audience content features of the audience at the first window of time is transferred to the multimodal model. One or more feature results, based on the stream content features and based on the audience content features, of the first window of time is obtained from the multimodal model. The feature results are sent to an auditory machine learning model. A first audio signal from the auditory machine learning model is received. An augmented stream of the first window of time is generated based on the first audio signal.

Abstract: Computer technology for sending an image a device to be authenticated. The image is designed to be classified to a first category by an image classifier, and the first category is different from a nature category of the image. A response message can be received from the device. The response message indicates a second category of the image determined by the device. Then, the device is determined to be an authorized device in response to the second category being consistent with the first category.

Abstract: In an approach to detecting the transmission of messages, analyzing said messages, calculating a message risk score and transmitting a warning notification, one or more computer processors detect transmission of a message from a user to a selected recipient. The one or more computer processors extract message information from the detected message. The one or more computer processors retrieve one or more historical conversations between the user and the selected recipient of the detected message. The one or more computer processors determine a risk score corresponding to sending the detected message to the selected recipient based on applying the extracted message information and the retrieved historical conversations to a cognitive model.

Abstract: A live stream, that includes a video stream and an audio stream, of a presenter is monitored. The live stream is attended by an audience that includes one or more audience members. One or more stream content features of the live stream at a first window of time is transmitted to a multimodal machine learning model. One or more audience content features of the audience at the first window of time is transferred to the multimodal model. One or more feature results, based on the stream content features and based on the audience content features, of the first window of time is obtained from the multimodal model. The feature results are sent to an auditory machine learning model. A first audio signal from the auditory machine learning model is received. An augmented stream of the first window of time is generated based on the first audio signal.

Abstract: A computer implemented method for matching services to potential receivers of the services that includes registering at least one of service providers and service receivers as members to a service matching system. The service matching system collects data from the members. Permission to collect data from the members is revocable at any time by the members. The method further includes taking an order from a first service receiver to receive goods from a service provider; and calculating a route of the first service receiver to obtain the goods from the service provider. The method further includes matching the route of the first service receiver with a potential delivery route to a second service receiver having an order with the service provider; and offering a promotion to the first service receiver to deliver the order by the second service receiver with the service provider over the potential delivery route.

Abstract: A method for video content searching is provided. The method accesses video content and segments the video content into a plurality of frames. The method identifies one or more characteristics for at least a portion of frames of the plurality of frames and determines time frames for each characteristic of the one or more characteristics within the portion of the frames. The method generates frame keywords for the plurality of frames based on the one or more characteristics. The method assigns at least one frame keyword to each time frame within the portion of the frames and generates an index store for the video content. The index store is generated based on the frame keywords and assigning the at least one frame keyword to each frame. The index store includes the frame keywords and time frames assigned to the frame keywords.

Abstract: A computer implemented method for matching services to potential receivers of the services that includes registering at least one of service providers and service receivers as members to a service matching system. The service matching system collects data from the members. Permission to collect data from the members is revocable at any time by the members. The method further includes taking an order from a first service receiver to receive goods from a service provider; and calculating a route of the first service receiver to obtain the goods from the service provider. The method further includes matching the route of the first service receiver with a potential delivery route to a second service receiver having an order with the service provider; and offering a promotion to the first service receiver to deliver the order by the second service receiver with the service provider over the potential delivery route.

Abstract: The present disclosure provides a computer-implemented method, computer system and computer program product for authentication. The computer-implemented method comprises sending an image to a device, where the image is adapted to be classified to a first category by an image classifier, and where the first category is different from an actual category of the image; receiving a response message from the device, where the response message indicates a second category of the image determined by the device; and determining the device to be an authorized device in response to the second category being consistent with the first category.

Abstract: A method, computer program product, and computer system for public speaking guidance is provided. A processor retrieves speaker data regarding a speech made by a user. A processor separates the speaker data into one or more speaker modalities. A processor extracts one or more speaker features from the speaker data for the one or more speaker modalities. A processor generates a performance classification based on the one or more speaker features. A processor sends to the user guidance regarding the speech based on the performance classification.

Abstract: A method for video content searching is provided. The method accesses video content and segments the video content into a plurality of frames. The method identifies one or more characteristics for at least a portion of frames of the plurality of frames and determines time frames for each characteristic of the one or more characteristics within the portion of the frames. The method generates frame keywords for the plurality of frames based on the one or more characteristics. The method assigns at least one frame keyword to each time frame within the portion of the frames and generates an index store for the video content. The index store is generated based on the frame keywords and assigning the at least one frame keyword to each frame. The index store includes the frame keywords and time frames assigned to the frame keywords.

Abstract: In an approach to detecting the transmission of messages, analyzing said messages, calculating a message risk score and transmitting a warning notification, one or more computer processors detect transmission of a message from a user to a selected recipient. The one or more computer processors extract message information from the detected message. The one or more computer processors retrieve one or more historical conversations between the user and the selected recipient of the detected message. The one or more computer processors determine a risk score corresponding to sending the detected message to the selected recipient based on applying the extracted message information and the retrieved historical conversations to a cognitive model.