Abstract: Aspects of the present disclosure relate to a personalized agent service that generates and evolves customized agents that can be instantiated in-game to play with users. Machine learning models are trained to control the agent's interactions with the game environment and the user during gameplay. A user may request that a personalized agent join the user's gameplay session. The user device sends a request for the personalized agent to a game platform. The game platform determines whether the user has a license to execute a second instance of the game. When the user has a license to execute a second instance of the game, the second instance of the game may be executed on the user device. Information received from a personalized agent service is used to instantiate a personalized agent in the second instance of the game.

Abstract: Improved systems and methods for navigating and interacting in virtual communication environments. At least some of these systems and methods provide a framework that includes one or more virtual areas and supports realtime communications between the communicants. At least some of these systems and methods provide an interface that includes navigation controls that enable a user to navigate virtual areas and interaction controls that enable the user to interact with other communicants in the one or more virtual areas.

Abstract: A realtime kernel supports realtime communications between communicants operating on respective network nodes. The realtime kernel handles the complex tasks of connecting to communicants, virtual areas, and other network resources, switching those connections in response to user inputs, and mixing realtime data streams. The realtime kernel enables developers to focus on developing high-level communications functionality instead of low-level plumbing code. The realtime kernel imposes relatively low computational resource requirements so that realtime communications performance can be achieved using a wide range of computing devices and network connections that currently are available.

Abstract: A pervasive realtime framework supports the execution of realtime software applications with high-level functions that significantly reduce the effort and time needed to develop realtime software applications in a new operating environment paradigm in which realtime connections between network nodes are pervasive. The pervasive realtime framework handles the complex tasks of connecting to communicants, virtual areas, and other network resources, as well as switching those connections in response to user inputs and thereby enables software application developers to focus on developing high-level realtime software application functionality.

Abstract: The present disclosure provides a method of treating cancer or a solid tumor (e.g., an advanced or metastatic solid tumor) in a subject with a therapeutically effective amount of a compound of formula (I) or a pharmaceutically acceptable salt, hydrate, solvate, stereoisomer, conformational isomer, tautomer, or a combination thereof, where the subject has one or more mutations in the MAPK pathway and/or one or more mutations in PTPN11. In particular, the solid tumor is an advanced or metastatic KRAS mutant solid tumor (e.g., KRAS G12C-positive solid tumor); an advanced or metastatic NF1 loss-of-function (LOF) solid tumor or BRAF class II/III mutant solid tumor; or chordoma.

Abstract: In a network communications environment supporting realtime communications between respective network nodes of a user and other communicants in virtual areas each of which is associated with its own respective set of communicant members, a graphical user interface is provided in connection with the user's network node. The graphical user interface includes controls for establishing presence in the virtual areas, managing realtime communications in the virtual areas, and presenting different views of communicants associated with the network communications environment.

Abstract: Embodiments herein generally relate to a system and method for model risk management (MRM) of an artificial intelligence (AI) or machine learning (ML) model. In at least one example, the system comprises: an AI validation system (AIVS) comprising validation processing subsystems, which comprise a fuzzy logic controller (FLC) to implement a fuzzy logic MRM program associated with the AI/ML model. Validation devices are communicatively coupled to the validation processing subsystems and FLC. The FLC receives metadata related to risk management inputs and outputs for the fuzzy logic MRM program. The metadata is received, and a rule base is created. The MRM program receives the inputs from the validation devices, pre-processes the inputs, and fuzzifies the pre-processed inputs. Rules in the rule base are executed using the fuzzified inputs to calculate rule consequent values, which are aggregated. An output fuzzy state is assigned, and actions are performed based on the assigning.

Abstract: Systems and methods are provided for automatically generating a program based on a natural language utterance using semantic parsing. The semantic parsing includes translating a natural language utterance into instructions in a logical form for execution. The methods use a pre-trained natural language model and generate a canonical utterance as an intermediate form before generating the logical form. The natural language model may be an auto-regressive natural language model with a transformer to paraphrase a sequence of words or tokens in the natural language utterance. The methods generate a prompt including exemplar input/output pairs as a few-shot learning technique for the natural language model to predict words or tokens. The methods further use constrained decoding to determine a canonical utterance, iteratively selecting sequence of words as predicted by the model against rules for canonical utterances. The methods generate a program based on the canonical utterance for execution in an application.

Abstract: A persistent virtual area that supports establishment of respective presences of communicants operating respective network nodes connected to the virtual area even after all network nodes have disconnected from the virtual area is maintained. A presence in the virtual area is established for a user of a Public Switched Telephone Network (PSTN) terminal device. Transmission of data associated with the virtual area to the PSTN terminal device.

Abstract: Examples of systems and methods for voice-based navigation in one or more virtual areas that define respective persistent virtual communication contexts are described. These examples enable communicants to use voice commands to, for example, search for communication opportunities in the different virtual communication contexts, enter specific ones of the virtual communication contexts, and bring other communicants into specific ones of the virtual communication contexts. In this way, these examples allow communicants to exploit the communication opportunities that are available in virtual areas, even when hands-based or visual methods of interfacing with the virtual areas are not available.

Abstract: A network communications environment has advanced interaction management functionality that enables the opportunities for users to interact with one another to be expanded beyond the opportunities that exist with closed interaction management approaches while still providing reasonable privacy and security protections that are not available with open interaction management approaches. The advanced interaction management functionality also encourages the proliferation of trust-based interactions.

Abstract: Examples of systems and methods for bridging virtual and physical spaces are described. In some of these examples, a particular communicant's real world state drives changes in one or more of the communications connections, virtual state, and communications interface of the particular communicant or another communicant.

Abstract: The disclosed technology relates to methods, transcriptomics systems, and non-transitory computer readable media for enabling natural language transcriptomics analysis. In some examples, genomic data including gene expression profiles for cells is transformed into sequences of genes ordered by expression level for each of the cells. The sequences of genes are annotated with metadata in a natural language format. A large language model (LLM) is then fine-tuned using the annotated sequences. The LLM is pretrained for natural language processing (NLP) tasks. The fine-tuned LLM is applied to generate and output a result in response to a received prompt in the natural language format. Thus, the LLMs of this technology advantageously both generate and interpret transcriptomics data and interact in natural language to generate meaningful text from cells and valid genes, among many other types of results.

Abstract: Implementations of semantic parsing using pre-trained language models are provided. One aspect includes a computing system for semantic parsing of natural language.

Abstract: Bracket assemblies for securing a conveyor roller to a conveyor support frame are disclosed. The bracket assembly is adjustable by an operator to change the position of the roller to better align a conveyor belt supported by the roller.

Abstract: A light sensing device includes: a light sensitive layer having a phosphor with two different types of lanthanides dopant ions, switching between a first state and a second state; one or more optical filters on top of the light sensitive layer. When the dopant ions are in the second state after exposure of the light sensitive layer to the second light energy, the light sensitive layer measures a first light intensity of light of the first light energy. When the dopant ions are in the first state after exposure of the light sensitive layer to the first light energy, the light sensitive layer measures a second light intensity of light of the second light energy.

Abstract: Methods and systems may include receiving and storing values for one or more configurable settings, wherein the configurable settings include first rules relating inputs to severity levels and second rules relating obligations to a respective threshold severity level. Inputs are received via a form displayed on the user interface, as one or more field values relating to an incident. An automated assessment is conducted to determine which obligations are triggered, by (a) determining an incident severity level based on the inputs and the first rules, and (b) determining which obligations are triggered based on whether the incident severity level meets the respective threshold for each obligation. Each triggered obligation and related information is displayed to the user for further input. Data from each incident may be archived for auditing purposes.

Abstract: In a network communications environment supporting realtime communications between respective network nodes of a user and other communicants in virtual areas each of which is associated with its own respective set of communicant members, a graphical user interface is provided in connection with the user's network node. The graphical user interface includes controls for establishing presence in respective ones of the virtual areas, managing realtime communications with other communicants in respective ones of the virtual areas, and presenting different views of communicants associated with the network communications environment.

Abstract: A pervasive realtime framework supports the execution of realtime software applications with high-level functions that significantly reduce the effort and time needed to develop realtime software applications in a new operating environment paradigm in which realtime connections between network nodes are pervasive. The pervasive realtime framework handles the complex tasks of connecting to communicants, virtual areas, and other network resources, as well as switching those connections in response to user inputs and thereby enables software application developers to focus on developing high-level realtime software application functionality.

Abstract: Methods and materials for modulating low-nitrogen tolerance levels in plants are disclosed. For example, nucleic acids encoding low nitrogen tolerance-modulating polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low-nitrogen tolerance levels and plant products produced from plants having increased low-nitrogen tolerance levels.