Brian BARR

SELECTIVELY MODIFYING A DATA STREAM BASED ON CONTENT PARAMETERS

SYSTEMS AND METHODS FOR UPDATING TEXTUAL ITEM DESCRIPTIONS USING AN EMBEDDING SPACE

SYSTEMS AND METHODS FOR APPLYING MACHINE-LEARNING TO MULTIMODAL CONTEXT TO SEMANTICALLY INTERPRET A REAL-WORLD ENVIRONMENT

VIRTUAL RENDERING OF MACHINE LEARNING MODELS

TRANSFORMER MODELS FOR IDENTIFICATION OF TOP-K ATTENTION VALUES INFLUENCING OUTPUTS OF OTHER TRANSFORMER MODELS

PREDICTING COMPUTER CODE UPDATE CONDITIONS USING ARTIFICIAL INTELLIGENCE

CYBERSECURITY ENFORCEMENT USING SYNTHETIC PHISHING

SYSTEMS AND METHODS FOR AUTHENTICATION USING PARTITIONED AUTHENTICATION TOKENS

SYSTEMS AND METHODS FOR CLASSIFYING TOKEN SEQUENCE EMBEDDINGS

STRUCTURED DOCUMENT GENERATION USING DOCUMENT-SCALE EMBEDDINGS

PERSONALIZED RESPONSES TO CHATBOT PROMPT BASED ON EMBEDDING SPACES BETWEEN USER AND SOCIETY

SYSTEMS AND METHODS FOR UPDATING TEXTUAL ITEM DESCRIPTIONS USING AN EMBEDDING SPACE

SELECTIVE DATA STORAGE BASED ON FUTURE EVENT PREDICTION

SYSTEMS AND METHODS FOR PREAUTHORIZING TRANSACTION CARDS

SYSTEMS AND METHODS FOR SHARING A VIRTUAL CARD

DYNAMIC VERIFICATION OF AN ELECTRONIC EXCHANGE OF INFORMATION

SELECTIVELY SHARED CONDENSED DATA FOR EFFICIENT FEDERATED LEARNING

SELECTIVELY MODIFYING A DATA STREAM BASED ON CONTENT PARAMETERS

SYSTEMS AND METHODS RELATING TO OBJECT PROTECTION

APPLYING GRAPH REPRESENTATIONS OF USER SPACES

SYSTEMS AND METHODS FOR RANKING USER INTERFACE ELEMENTS USING EXPLAINABILITY VECTORS

SYSTEMS AND METHODS FOR GENERATING CONTEXTUAL DATA FOR TRAINING DOWNSTREAM MODELS

EXPLAINABLE ENTROPY FOR ANOMALY DETECTION

LARGE LANGUAGE MODEL SUMMARIZATION

SYSTEMS AND METHODS FOR GENERATING SYSTEM ALERTS

SYSTEMS AND METHODS FOR FORECASTING DATA DRIFT FOR MODEL MONITORING

INTERACTION-BASED AUTHENTICATION AND USER INTERFACE ADJUSTMENT

DETERMINING DATA QUALITY USING DATA RECONSTRUCTION MODELS

UPDATING MACHINE LEARNING MODELS USING WEIGHTS BASED ON FEATURES CONTRIBUTING TO PREDICTIONS

UPDATING MACHINE LEARNING MODELS BASED ON IMPACTS OF FEATURES ON PREDICTIONS

FILTERING COUNTERFACTUAL CONDITIONALS

SYSTEMS AND METHODS FOR FRAUD DETECTION

Comparing code repositories

SYSTEMS AND METHODS FOR TRIGGERING TOKEN ALERTS

SYSTEMS AND METHODS FOR AUTOMATED BILL SPLITTING

AUGMENTING REINFORCEMENT LEARNING WITH LOCAL EXPLAINABILITY WEIGHTS

SYSTEMS AND METHODS FOR USING HASH TABLES FOR GENERATING TEXTUAL PREDICTION EXPLANATIONS

SYSTEMS AND METHODS FOR EXECUTING PROGRAMMABLE MACROS BASED ON EXTERNAL DEVICE INTERACTIONS

SYSTEMS AND METHODS FOR GENERATING RECOMMENDATIONS FOR CAUSES OF LABELING DETERMINATIONS THAT ARE GENERATED BY NON-DIFFERENTIABLE ARTIFICIAL INTELLIGENCE MODELS

LAYERED CYBERSECURITY USING SPURIOUS DATA SAMPLES

UNCERTAINTY ESTIMATION USING UNINFORMATIVE FEATURES

DETERMINING QUALITY OF MACHINE LEARNING MODEL OUTPUT

Spurious-data-based detection related to malicious activity

GENERATION OF EFFECTIVE SPURIOUS DATA FOR MODEL DEGRADATION

SYSTEMS AND METHODS FOR AUTHENTICATION USING PARTITIONED AUTHENTICATION TOKENS

SYSTEMS AND METHODS FOR LIGHTWEIGHT MACHINE LEARNING MODELS

BIASING MACHINE LEARNING MODEL OUTPUTS

ASSESSMENT OF ARTIFICIAL INTELLIGENCE ERRORS USING MACHINE LEARNING

CHARACTERIZATION FOR ERRONEOUS ARTIFICIAL INTELLIGENCE OUTPUTS

SYSTEMS AND METHODS FOR GENERATING REAL-TIME LOCATION-BASED NOTIFICATIONS

Systems and methods for providing a secure physical storage system

Data sharing among open browser tabs

Systems and methods for distributing cryptographic resources upon determination of an irregularity through self-executing code

Systems for encoding data transforms by intent

MONITORING MACHINE LEARNING MODELS USING SURROGATE MODEL OUTPUT

COUNTERFACTUAL SAMPLES FOR MAINTAINING CONSISTENCY BETWEEN MACHINE LEARNING MODELS

GENERATING COUNTERFACTUAL SAMPLES BASED ON USER PREFERENCE

SYSTEMS AND METHODS FOR COUNTERFACTUALS IN MACHINE LEARNING APPLICATIONS

SYSTEMS AND METHODS FOR EVALUATING COUNTERFACTUAL SAMPLES FOR EXPLAINING MACHINE LEARNING MODELS

SYSTEMS AND METHODS FOR A DIGITAL REGISTER OF MODELS MONITORING CHANGES IN ACCURACY OF ARTIFICIAL INTELLIGENCE MODELS

Interaction-based authentication and user interface adjustment

METHODS AND SYSTEMS FOR EXPLAINING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Systems and methods for providing a secure physical storage system

GENERATING NON-FUNGIBLE TOKENS (NFTS) REPRESENTING DIGITAL ASSETS

Detection of a threat in a physical environment

Systems and methods for orienting webpage content based on user attention

COUNTERFEIT OBJECT DETECTION USING IMAGE ANALYSIS

Systems and methods for using machine learning models to automatically identify and compensate for recurring charges

SYSTEM AND METHODS FOR CORRECTING BUILD PARAMETERS IN AN ADDITIVE MANUFACTURING PROCESS BASED ON A THERMAL MODEL AND SENSOR DATA

OPTIMIZATION METHODS FOR PHYSICAL MODELS