Abstract: Provided are genetically modified non-human animals that express a human or chimeric (e.g., humanized) CD3E (T-cell surface glycoprotein CD3 epsilon chain), CD3D (T-cell surface glycoprotein CD3 delta chain), and/or CD3G (T-cell surface coprotein CD3 gamma chain), and methods of use thereof.

Abstract: A thin oil film having parylene irregular dendritic-like columns extending from one side to another exhibits hydrophobic properties that can be used as a corrosion resistant coating or water-repellant, biofouling resistant surface. This parylene-in-oil layer can be paired with an adjacent layer of solid parylene that it overlays or underlays. The solid parylene cross polymerizes with the parylene dendrites, keeping them in place as well as the oil film. The parylene dendrites are fabricated by chemical vapor deposition (CVD) of parylene over the oil layer, the dendrites self-forming from the bottom to the top. Continued CVD over the dendrites can produce a top layer of solid parylene. Etching the solid parylene away can result in a water repellant, anti-biofouling surface.

Abstract: Provided are genetically modified animal expressing human or chimeric (e.g., humanized) FcRn, and methods of use thereof.

Abstract: Systems and methods for animating from audio in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating animation from audio. The method includes steps for receiving input audio data, generating an embedding for the input audio data, and generating several predictions for several tasks from the generated embedding. The several predictions includes at least one of blendshape weights, event detection, and/or voice activity detection. The method includes steps for generating a final prediction from the several predictions, where the final prediction includes a set of blendshape weights, and generating an output based on the generated final prediction.

Abstract: Systems and methods for animating from audio in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating animation from audio. The method includes steps for receiving input audio data, generating an embedding for the input audio data, and generating several predictions for several tasks from the generated embedding. The several predictions includes at least one of blendshape weights, event detection, and/or voice activity detection. The method includes steps for generating a final prediction from the several predictions, where the final prediction includes a set of blendshape weights, and generating an output based on the generated final prediction.