Abstract: Prompting a trained artificial intelligence (AI) model(s) to output photoreal synthetic content in real-time is described. In some examples, one or more AI models are trained using sequential video frames as training data to obtain one or more trained AI models configured to generate temporally-coherent output data. In an example process, user-provided prompt data representing a prompt provided by a user is received, output data representing synthetic content is generated using the trained AI model(s) based at least in part on the user-provided prompt data, and video content featuring the synthetic content is caused to be displayed on a display based at least in part on the output data. In some examples, the output data is provided to the trained AI model(s) as part of a feedback loop to generate further output data as part of a real-time, iterative prompting system.

Abstract: Modifying source data to generate hyperreal synthetic content is described. Source data representing images of a body part of a subject may be modified to obtain training data, such as by modifying the body part in the images and/or by enhancing the images to improve the quality thereof. One or more machine learning models may be trained using the training data to obtain one or more trained machine learning models, and the trained model(s) is used to generate output data representing a synthetic body part based at least in part on input data representing an image featuring the body part of the subject, such as an image featuring the modified body part and/or an enhanced image featuring the body part. The output data is then used to generate media data corresponding to media content featuring the synthetic body part.

Abstract: Using latent space manipulation and neural animation to generate hyperreal synthetic faces is described. A machine learning model(s) may be trained to generate a synthetic face of a subject featured in unaltered video content based at least in part on video data of an actor making a mouth-generated sound or a three-dimensional (3D) model of a face of the subject that has been animated in accordance with the mouth-generated sound. Latent space manipulation and neural animation may be used with the trained machine learning model(s) to generate instances of the synthetic face, and the instances of the synthetic face can be used to create altered video content featuring the subject with the synthetic face making the mouth-generated sound.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Methods and systems for in situ electrochemical treatment of aqueous solutions used in agricultural systems, community systems and industrial systems. In aspects, is an in situ electrochemical method for the treatment of fertigation water, comprising: flowing the fertigation water through an electrochemical cell comprising at least one anode and at least one complementary cathode while simultaneously adjusting one or more of current density, flow rate and pH, wherein said flowing fertigation water contacts the anode and cathode causing one or more of: degradation of a recalcitrant organic contaminant, mineralization and solubilization of an organic, forming a disinfection agent against a pathogen, and maintaining nutrient levels in said fertigation water; and collecting treated effluent.

Abstract: Using latent space manipulation and neural animation to generate hyperreal synthetic faces is described. A machine learning model(s) may be trained to generate a synthetic face of a subject featured in unaltered video content based at least in part on video data of an actor making a mouth-generated sound or a three-dimensional (3D) model of a face of the subject that has been animated in accordance with the mouth-generated sound. Latent space manipulation and neural animation may be used with the trained machine learning model(s) to generate instances of the synthetic face, and the instances of the synthetic face can be used to create altered video content featuring the subject with the synthetic face making the mouth-generated sound.

Abstract: Modifying source data to generate hyperreal synthetic content is described. Source data representing images of a body part of a subject may be modified to obtain training data, such as by modifying the body part in the images and/or by enhancing the images to improve the quality thereof. One or more machine learning models may be trained using the training data to obtain one or more trained machine learning models, and the trained model(s) is used to generate output data representing a synthetic body part based at least in part on input data representing an image featuring the body part of the subject, such as an image featuring the modified body part and/or an enhanced image featuring the body part. The output data is then used to generate media data corresponding to media content featuring the synthetic body part.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Prompting a trained artificial intelligence (AI) model(s) to output photoreal synthetic content in real-time is described. In some examples, one or more AI models are trained using sequential video frames as training data to obtain one or more trained AI models configured to generate temporally-coherent output data. In an example process, user-provided prompt data representing a prompt provided by a user is received, output data representing synthetic content is generated using the trained AI model(s) based at least in part on the user-provided prompt data, and video content featuring the synthetic content is caused to be displayed on a display based at least in part on the output data. In some examples, the output data is provided to the trained AI model(s) as part of a feedback loop to generate further output data as part of a real-time, iterative prompting system.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Using latent space manipulation and neural animation to generate hyperreal synthetic faces is described. A machine learning model(s) may be trained to generate a synthetic face of a subject featured in unaltered video content based at least in part on video data of an actor making a mouth-generated sound or a three-dimensional (3D) model of a face of the subject that has been animated in accordance with the mouth-generated sound. Latent space manipulation and neural animation may be used with the trained machine learning model(s) to generate instances of the synthetic face, and the instances of the synthetic face can be used to create altered video content featuring the subject with the synthetic face making the mouth-generated sound.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.

Abstract: Methods and systems for electrochemical treatment of fertigation water for use and for recycling in agricultural systems such as in controlled environment agricultural systems.