Abstract: Systems and methods for rendering spatial audio in accordance with embodiments of the invention are illustrated. One embodiment includes a spatial audio system, including a primary network connected speaker, including a plurality of sets of drivers, where each set of drivers is oriented in a different direction, a processor system, memory containing an audio player application, wherein the audio player application configures the processor system to obtain an audio source stream from an audio source via the network interface, spatially encode the audio source, decode the spatially encoded audio source to obtain driver inputs for the individual drivers in the plurality of sets of drivers, where the driver inputs cause the drivers to generate directional audio.

Abstract: A computer implemented method includes receiving text data, detecting auto-generated text in the received text data to identify tags in the received text to distinguish between the auto-generated text and user generated text, and providing the tagged text data to a machine learning language model.

Abstract: A computer implemented method includes receiving text data, detecting auto-generated text in the received text data to identify tags in the received text to distinguish between the auto-generated text and user generated text, and providing the tagged text data to a machine learning language model.

Abstract: This document provides methods and materials involved in detecting translocations of TBL1XR1 and TP63 nucleic acid. For example, methods and materials for detecting TBL1XR1 and TP63 gene rearrangements (e.g., translocations) associated with cancer (e.g., T-cell lymphomas) as well as methods and materials for detecting cancers (e.g., T-cell lymphomas) with a dominant negative TP63 phenotype are provided.

Abstract: This document provides methods and materials involved in detecting translocations of TBL1XR1 and TP63 nucleic acid. For example, methods and materials for detecting TBL1XR1 and TP63 gene rearrangements (e.g., translocations) associated with cancer (e.g., T-cell lymphomas) as well as methods and materials for detecting cancers (e.g., T-cell lymphomas) with a dominant negative TP63 phenotype are provided.