Abstract: A brain-controlled robotic prosthetic arm integrates a hybrid neural network model, combining Convolutional Neural Networks and Recurrent Neural Networks for advanced electroencephalography signal processing. The system enables users to control the prosthetic arm using brain signals, with supplementary integration of manual operation. The modular design allows for user-attachable extension parts, customizable configurations, and 3D-printed components tailored to the user's anatomy. Each finger is actuated by an independent micro linear motor, providing precise control and lifelike movements. The prosthetic arm incorporates a sensory feedback system, with flexible material on the fingertips embedded with sensors that detect tactile forces, temperature, and pressure. This feedback is delivered in real time to enhance the user's perception of interaction with their environment.

Abstract: A system to perform operations that include: accessing a data object that comprises an Augmented-Reality (AR) filter; accessing a blockchain based on the accessing the data object; minting a Non-Fungible Token (NFT) based on the data object and the blockchain; and storing the NFT on the blockchain.

Abstract: In one or more implementations, user content items generated using a client application may be shared with users that are not contacts of the user within the client application. A user interface that indicates a number of recipients of the user content item may be generated that also includes a first section that displays the user content item and a second section to add text content to the user content item. In various examples, one or more classifications may be associated with the user content item.

Abstract: A system to perform operations that include: minting a Non-Fungible Token (NFT) that comprises a media object and mutable metadata; allocating the NFT to a user of a client device; granting the user of the client device a permission to change the mutable metadata of the NFT based on the allocating the NFT to the user of the client device; generating an open-edition of the NFT, the open-edition of the NFT comprising a reference to the mutable metadata; receiving a change to the mutable metadata from the user of the client device; and updating the open-edition of the NFT based on the change.

Abstract: A system to perform operations that include: minting a Non-Fungible Token (NFT) that comprises a media object and mutable metadata; allocating the NFT to a user of a client device; granting the user of the client device a permission to change the mutable metadata of the NFT based on the allocating the NFT to the user of the client device; generating an open-edition of the NFT, the open-edition of the NFT comprising a reference to the mutable metadata; receiving a change to the mutable metadata from the user of the client device; and updating the open-edition of the NFT based on the change.

Abstract: In one or more implementations, user content items generated using a client application may be shared with users that are not contacts of the user within the client application. A user interface that indicates a number of recipients of the user content item may be generated that also includes a first section that displays the user content item and a second section to add text content to the user content item. In various examples, one or more classifications may be associated with the user content item.

Abstract: A system to perform operations that include: accessing a data object that comprises an Augmented-Reality (AR) filter; accessing a blockchain based on the accessing the data object; minting a Non-Fungible Token (NFT) based on the data object and the blockchain; and storing the NFT on the blockchain.

Abstract: A system to perform operations that include: accessing a data object that comprises an Augmented-Reality (AR) filter; accessing a blockchain based on the accessing the data object; minting a Non-Fungible Token (NFT) based on the data object and the blockchain; and storing the NFT on the blockchain.

Abstract: Introduced here computer programs and associated computer-implemented techniques for generating measurements of physical structures and environments in an automated matter through analysis of data that is generated by one or more sensors included in a computing device. This can be accomplished by combining insights that are derived through analysis different types of data that are generated, computed, or otherwise obtained by a computing device. For instance, a computer program may enable or facilitate measurement of arbitrary dimensions, angles, and square footage of a physical structure based on (i) images generated by an image sensor included in the corresponding computing device and (ii) measurements generated by an inertial sensor included in the corresponding computing device.

Abstract: Introduced here computer programs and associated computer-implemented techniques for generating measurements of physical structures and environments in an automated matter through analysis of data that is generated by one or more sensors included in a computing device. This can be accomplished by combining insights that are derived through analysis different types of data that are generated, computed, or otherwise obtained by a computing device. For instance, a computer program may enable or facilitate measurement of arbitrary dimensions, angles, and square footage of a physical structure based on (i) images generated by an image sensor included in the corresponding computing device and (ii) measurements generated by an inertial sensor included in the corresponding computing device.

Abstract: In one or more implementations, content generated using a client application may be associated with a classification. A number of classifications may be recommended to users of a client application based on alphanumeric characters entered by the users. Additionally, a number of classifications may be recommended to the users of the client application based one or more additional criteria, such as recently used classifications or classifications having at least a threshold frequency of use by additional users of the client application.

Abstract: Introduced here computer programs and associated computer-implemented techniques for generating measurements of physical structures and environments in an automated matter through analysis of data that is generated by one or more sensors included in a computing device. This can be accomplished by combining insights that are derived through analysis different types of data that are generated, computed, or otherwise obtained by a computing device. For instance, a computer program may enable or facilitate measurement of arbitrary dimensions, angles, and square footage of a physical structure based on (i) images generated by an image sensor included in the corresponding computing device and (ii) measurements generated by an inertial sensor included in the corresponding computing device.

Abstract: Introduced here computer programs and associated computer-implemented techniques for generating measurements of physical structures and environments in an automated matter through analysis of data that is generated by one or more sensors included in a computing device. This can be accomplished by combining insights that are derived through analysis different types of data that are generated, computed, or otherwise obtained by a computing device. For instance, a computer program may enable or facilitate measurement of arbitrary dimensions, angles, and square footage of a physical structure based on (i) images generated by an image sensor included in the corresponding computing device and (ii) measurements generated by an inertial sensor included in the corresponding computing device.

Abstract: In one or more implementations, content generated using a client application may be associated with a classification. The content may be accessed based on one or more classifications associated with the content. Content may be generated by a client application executed by a client device of a content creator and sent to a server system that may distribute the content to one or more additional client devices of recipients of the content. The server system may also aggregate content having a same classification.

Abstract: A system to perform operations that include: minting a Non-Fungible Token (NFT) that comprises a media object and mutable metadata; allocating the NFT to a user of a client device; granting the user of the client device a permission to change the mutable metadata of the NFT based on the allocating the NFT to the user of the client device; generating an open-edition of the NFT, the open-edition of the NFT comprising a reference to the mutable metadata; receiving a change to the mutable metadata from the user of the client device; and updating the open-edition of the NFT based on the change.

Abstract: A system to perform operations that include: accessing a data object that comprises an Augmented-Reality (AR) filter; accessing a blockchain based on the accessing the data object; minting a Non-Fungible Token (NFT) based on the data object and the blockchain; and storing the NFT on the blockchain.

Abstract: In one or more implementations, content generated using a client application may be associated with a classification. The content may be accessed based on one or more classifications associated with the content. Content may be generated by a client application executed by a client device of a content creator and sent to a server system that may distribute the content to one or more additional client devices of recipients of the content. The server system may also aggregate content having a same classification.

Abstract: In one or more implementations, user content items generated using a client application may be shared with users that are not contacts of the user within the client application. A user interface that indicates a number of recipients of the user content item may be generated that also includes a first section that displays the user content item and a second section to add text content to the user content item. In various examples, one or more classifications may be associated with the user content item.

Abstract: In one or more implementations, content generated using a client application may be associated with a classification. A number of classifications may be recommended to users of a client application based on alphanumeric characters entered by the users. Additionally, a number of classifications may be recommended to the users of the client application based one or more additional criteria, such as recently used classifications or classifications having at least a threshold frequency of use by additional users of the client application.