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Dynamic Explainable AI Pipeline Composability and Customization

USPTO published patent application US20260094033A1 for an explainable AI pipeline system enabling customizable explainability operations based on user persona roles. The system coordinates data analysis on AI model outputs and model performance analysis, outputting customized explanation data. Inventors: Ria Cheruvu, Harsha Bajpai, Arshad Mehmood, Saima Sharmin. Application No. 19111676 filed March 30, 2023.

Systems and Methods for Sampling-Based Krylov Quantum Diagonalization

The USPTO published patent application US20260094034A1 for sampling-based Krylov quantum diagonalization systems and methods, filed by 9 inventors including Kunal Sharma, Minh Tran, and Antonio Mezzacapo. The invention enables quantum devices to prepare Krylov basis states, sample them classically, and diagonalize Hamiltonians to approximate ground state energy. This A1 publication makes the application publicly available but does not grant patent rights.

Multi-Stage Federated Learning in Wireless Networks

USPTO published patent application US20260094032A1 for multi-stage federated learning in wireless networks, filed September 15, 2023. Inventors: Ping-Heng KUO and Alexander SIROTKIN. The application covers a method where AI agents train partial models, which are aggregated into a global model by an AI manager, with a trustworthiness determination gate before proceeding to the next stage.

AI Agent Operation in SaaS Platforms Based on User Profiles and Interaction Patterns

The USPTO published patent application US20260094029A1 by monday.com Ltd. covering systems and methods for integrating generative AI agents within SaaS platforms as credentialed users with read/write privileges. The AI agents automate data operations, synchronize cross-platform workflows, and enable intent-based interactions. Filing date was September 29, 2025; application number 19344215.

Pulse-Regulated Temporal Architecture for Persistent Cognitive Machines

The USPTO published patent application US20260094030A1 filed by Brian Galvin covering a pulse-regulated temporal architecture for persistent cognitive machines. The system implements adaptive curvature-based feedback across fast, medium, and slow pulse layers to maintain coherent timing in artificial cognition processes. The application was filed on December 8, 2025, with CPC classifications in G06N 5/04 and G06F 1/324.

Cause Estimation via Knowledge Graph

The USPTO published Fujitsu Limited's patent application US20260094031A1 for a cause estimation method using knowledge graphs. The invention selects nodes similar to phenomena requiring cause analysis, generates sub-knowledge graphs by tracing causal relationships, and determines confidence levels to identify cause candidates. The application (Filing Date: 2025-09-23) covers AI-based causal reasoning technology in the G06N classification.

Quantum Kernel Data Generation and Classification System

USPTO published patent application US20260094035A1 for a quantum kernel-based data generation and classification system. Inventors include Shungo Miyabe, Noriaki Shimada, Sudeep Ghosh, Jae-Eun Park, and Abhijit Mitra. The system employs quantum kernels to generate new datasets from input data and classify information, with potential applications in quantum computing and machine learning.

CAISI and OpenMined CRADA for Privacy-Preserving AI Evaluations

NIST's Center for AI Standards and Innovation (CAISI) signed a Collaborative Research and Development Agreement (CRADA) with OpenMined, a 501(c)(3) nonprofit, to conduct research into privacy-preserving methods for AI evaluations. The collaboration will enable rigorous measurement of AI systems when data, models, or benchmarks must remain confidential due to intellectual property, data protection, or national security concerns. The research will inform NIST's development of voluntary AI standards and best practices.

Federated Learning Acceleration Patent for Intelligent Personalized Services

USPTO published patent application US20260094005A1 by Korea Electronics Technology Institute for a client training acceleration method using federated learning for intelligent personalized services. The invention includes searching similar models in a repository, aggregating them into a global model, distributing to clients for training, and reflecting local data on the model. The application (No. 18941753) was filed on 2024-11-08 and published on 2026-04-02.

AI System for Dynamically Generating Knowledge Assessment Items

EXAMROOM.AI CORP. filed USPTO patent application US20260094017A1 for an AI and machine learning system that dynamically generates knowledge assessment items for item banks. The patent covers methods, systems, and computer program products for automated test item creation. The application was filed September 1, 2025 and published April 2, 2026.