CVE-2026-3502 TrueConf Vulnerability Added to KEV Catalog
CISA added CVE-2026-3502, a TrueConf Client vulnerability involving code download without integrity verification, to its Known Exploited Vulnerabilities (KEV) catalog based on evidence of active exploitation. The vulnerability poses significant risk as a frequent attack vector for malicious cyber actors. Although Binding Operational Directive 22-01 only mandates remediation for Federal Civilian Executive Branch agencies, CISA strongly urges all organizations to prioritize timely remediation.
Yokogawa CENTUM VP Hardcoded Password Vulnerability CVE-2025-7741
CISA ICS-CERT published advisory ICSA-26-092-02 disclosing CVE-2025-7741, a hardcoded password vulnerability in Yokogawa CENTUM VP distributed control systems affecting versions R5.01.00 through R7.01.00. The vulnerability (CVSS 3.1 score 4.0 Medium) allows attackers with access to HIS screen controls to login as the PROG user and potentially modify permissions. CISA recommends changing to Windows Authentication Mode or applying vendor patches as mitigations.
Siemens SICAM 8 Vulnerabilities - Denial of Service and Out-of-Bounds Write Patches
CISA ICS-CERT released advisory ICSA-26-092-01 identifying two vulnerabilities in Siemens SICAM 8 industrial control products. CVE-2026-27663 is a medium-severity denial-of-service vulnerability (CVSS 6.5) caused by resource exhaustion under high request volumes. CVE-2026-27664 is a high-severity out-of-bounds write vulnerability (CVSS 7.5) exploitable through malicious XML input. Affected products include CPCI85, RTUM85, and SICORE firmware versions prior to V26.10. Siemens recommends updating to V26.10 or later.
Hitachi Energy Ellipse Remote Code Execution Vulnerability
CISA ICS-CERT published advisory ICSA-26-092-03 disclosing a critical remote code execution vulnerability (CVE-2025-10492, CVSS 9.8) in Hitachi Energy Ellipse versions 9.0.50 and prior. The vulnerability exists in the Jasper Report third-party component due to improper Java deserialization handling. Organizations using affected Ellipse versions face immediate risk of remote compromise. Mitigation involves restricting loading of external custom reports to trusted sources only.
Azure Linux FRR Vulnerability CVE-2026-5107
CERT-FR published advisory CERTFR-2026-AVI-0389 notifying of a vulnerability in Microsoft Azure Linux affecting the frr 10.5.0-1 package on azl3. The vulnerability, tracked as CVE-2026-5107 (published by Microsoft on March 31, 2026), allows an attacker to cause an unspecified security issue. Organizations using affected versions should apply the vendor patch updating to version 10.5.0-2.
Belden NetModule Router Software Vulnerabilities Allow Remote Code Execution
CERT-FR issued advisory CERTFR-2026-AVI-0390 notifying of multiple critical vulnerabilities (CVE-2025-15467, CVE-2025-69419) in Belden NetModule Router Software versions prior to 5.0.0.102. The vulnerabilities allow remote attackers to execute arbitrary code and cause denial of service. Organizations using affected NetModule routers should refer to vendor's PSIRT-5_OpenSSL_Vulnerabilities_NRSW bulletin for patch information.
Multiple Netgate pfSense Vulnerabilities Allow Remote Code Execution
CERT-FR issued advisory CERTFR-2026-AVI-0387 alerting to multiple critical vulnerabilities (CVE-2026-xxxx through CVE-2026-xxxx) in Netgate pfSense CE and Plus firewall products. Four separate security advisories (pfSense-SA-26_01 through pfSense-SA-26_04) document arbitrary remote code execution and cross-site scripting (XSS) vulnerabilities affecting pfSense CE versions prior to 2.8.1 and pfSense Plus versions prior to 26.07. The vulnerabilities enable unauthenticated remote attackers to execute arbitrary code or inject malicious scripts.
Multiple Cisco Vulnerabilities Allowing Remote Code Execution
CERT-FR issued advisory CERTFR-2026-AVI-0388 alerting to five critical vulnerabilities in multiple Cisco product families affecting the Cisco Integrated Management Controller (IMC), NFVIS, Evolved Programmable Network Manager (EPNM), and Smart Software Manager On-Prem. The vulnerabilities could allow unauthenticated remote code execution, privilege escalation, authentication bypass, and improper authentication, posing severe risks to data confidentiality and system integrity.
OpenSSH vulnerabilities allow remote code execution
CERT-FR issued advisory CERTFR-2026-AVI-0391 alerting to multiple vulnerabilities in OpenSSH (versions prior to 10.3) enabling remote code execution and security policy bypass. OpenSSH released version 10.3 with patches. Organizations running OpenSSH should update immediately.
IGEL UMS Vulnerability Allows Remote Information Disclosure
CERT-Bund issued a security advisory regarding a high-severity vulnerability (CVSS 8.6) in IGEL Universal Management Suite (UMS). The vulnerability allows remote, anonymous attackers to disclose sensitive information. Affected versions are those prior to version 12.11.100 running on Linux and UNIX systems. Organizations using IGEL UMS should apply available mitigations or update to a patched version.
Cisco IMC Critical Vulnerabilities - Remote Code Execution and Privilege Escalation
CERT-Bund issued a critical security advisory (WID-SEC-2026-0953) disclosing multiple vulnerabilities in Cisco Integrated Management Controller (IMC) affecting UCS C-Series, E-Series, and S-Series servers. The vulnerabilities carry a CVSS Base Score of 9.8, enabling remote unauthenticated attackers to gain administrator privileges, execute arbitrary code with root privileges, and conduct cross-site-scripting attacks. Organizations using affected Cisco products should apply patches immediately.
Drupal SAML SSO Security Bypass Vulnerability Advisory
CERT-Bund issued a security advisory regarding a vulnerability in Drupal SAML SSO module versions prior to 3.1.4. The flaw allows remote attackers to bypass security measures. The vulnerability has a CVSS Base Score of 7.4 (high) and Temporal Score of 6.4 (medium). Organizations using the affected module should apply available mitigations.
Cisco Nexus Vulnerabilities Allow File Manipulation, Data Disclosure
CERT-Bund released security advisory WID-SEC-2026-0955 identifying multiple vulnerabilities in Cisco Nexus Dashboard (<4.2) and Cisco Nexus Dashboard Insights. The vulnerabilities have a CVSS Base Score of 6.5 (Medium) and enable remote attackers to manipulate files or disclose confidential information. Mitigation measures are available.
M-Files Server Information Disclosure Vulnerability Advisory
CERT-Bund issued a security advisory (WID-SEC-2026-0956) regarding an information disclosure vulnerability in M-Files Server. The vulnerability affects versions prior to 26.3.15818.5 on Windows platforms and carries a CVSS Base Score of 6.5 (medium severity). Remote anonymous attackers can exploit this flaw to disclose sensitive information.
Cisco EPN Manager Information Disclosure Vulnerability
CERT-Bund issued a security advisory (WID-SEC-2026-0951) regarding a high-severity vulnerability (CVSS 8.0) in Cisco Evolved Programmable Network Manager versions prior to 8.1.2. The vulnerability allows authenticated remote attackers to exploit an information disclosure flaw. Organizations using affected versions should apply available mitigations.
WatchGuard Firebox Remote Code Execution Vulnerability
CERT-Bund published security advisory WID-SEC-2026-0952 reporting a high-severity vulnerability (CVSS 7.2) in WatchGuard Firebox and Unified Threat Management products. An authenticated remote attacker can exploit this flaw to execute arbitrary code on affected systems. Versions prior to 2026.2 and 12.12 are vulnerable.
Multi-party computation cryptographic verification for authentication
USPTO published patent application US20260094156A1 for systems and methods using multi-party computation (MPC) for cryptographic verification and authentication. The invention involves generating partial signatures on multiple devices using distributed private key shares, aggregating signatures upon meeting a minimum threshold, and facilitating transaction processing on distributed ledgers.
Transaction Based Authentication with Item-Level Data
USPTO published patent application US20260094158A1 disclosing a system for authenticating users via transaction-based questions generated from item-level purchase data. The invention analyzes specific items purchased and their prices to generate questions that legitimate account holders can answer but malicious actors cannot easily guess. Inventors include Daniel Miller, Joshua Edwards, and others.
Schneider Electric SCADAPack RemoteConnect Arbitrary Code Execution Vulnerability
CISA published an advisory regarding CVE-2026-0667, a critical (CVSS 9.8) vulnerability in Schneider Electric SCADAPack 47xi/47x/57x RTUs and RemoteConnect. The vulnerability (CWE-754) in the Modbus TCP protocol could allow remote unauthenticated attackers to execute arbitrary code, cause denial of service, and compromise confidentiality and integrity. Schneider Electric has released version R3.4.2 (Firmware 9.12.2) to remediate this issue.
Endpoint Management System Hardening Advisory Following Stryker Cyberattack
CISA released a cybersecurity alert on March 18, 2026, following a March 11 cyberattack against medical technology firm Stryker Corporation that compromised their Microsoft environment. The alert urges all U.S. organizations to harden endpoint management system configurations, specifically recommending Microsoft Intune security best practices including least privilege RBAC, phishing-resistant MFA, and Multi Admin Approval for sensitive operations.
Layer-wise Precision Optimization in Analog Compute-in-Memory Accelerators
USPTO published Intel Corporation's patent application US20260093972A1 for a layer-wise precision optimization method in analog compute-in-memory (ACiM) accelerators for neural networks. The invention selectively allocates neural network layers to either digital compute-in-memory (DCiM) or analog compute-in-memory (ACiM) circuits based on signal sensitivity and statistical weight distribution criteria.
AI Method for Determining Object Physical State Using PDEs
USPTO published patent application US20260093980A1 describing a computer-implemented method for generating training data using partial differential equations (PDEs) to determine the physical state of objects. The application, filed on September 28, 2025, covers methods for configuring PDE boundary conditions on basic shapes to derive solutions representing physical states. Inventors include Kaixuan Zhang, Jianing Huang, Youjia Wu, and Ze Cheng. This is a routine publication of a patent application under CPC classification G06N 3/08.
Methods for Training Foundation Models for Processing Optical Physiological Signals
Nokia Solutions and Networks Oy filed USPTO Patent Application US20260093979A1 for methods of training artificial intelligence models using Photoplethysmography (PPG) physiological signals. The patent covers AI models incorporating multiple machine learning models trained on PPG data obtained from multiple individuals to determine outputs based on the physiological signals.
Model Training Method, Image Editing Method, Apparatus, Device, Medium, and Product
The USPTO published patent application US20260093978A1 by inventors Gu, Zhu, Chen, and Wen, disclosing methods for training image editing models using original images, editing descriptions, edited images, and multi-item evaluation information. The application covers processing these inputs to generate image editing results and updating the model based on differences between results and edited images.
Machine Learning Systems and Methods for Real Time Anomaly Detection and Prescriptive Feedback
USPTO published patent application US20260093977A1 by Zebra Technologies Corporation disclosing a machine learning method for real-time anomaly detection with prescriptive feedback. The method involves receiving query parameters, retrieving datasets, applying machine learning models trained in real-time to detect anomalies, filtering outputs, generating identification instructions, and transmitting anomalous item information. Application No. 18943495 was filed November 11, 2024.
Fault-Aware Training to Salvage AI Accelerators
The USPTO published patent application US20260093976A1 by inventor Ihab Amer describing a method for fault-aware training of AI accelerators. The method generates multiple neural network model approximations of a compute engine with faults, matching a fault map to an appropriate approximation, and loading the matched model when the engine transitions to approximate mode. The compute engine is a multiply-accumulate unit within an AI accelerator.
Personalized Intent Automation Using Dynamic Prompt Generation for Machine Learning
USPTO published patent application US20260093975A1 titled "Personalized Intent Automation Using Dynamic Prompt Generation for Machine Learning." The invention covers techniques for detecting trigger events in software applications, aggregating user data from multiple sources, generating prompts for ML models based on recommendable actions and associated scores, and providing recommended actions to users with feedback mechanisms for updating scores. Inventors: Rachita Ramesh, Gaurav Budjade, Neha Jayaprakash, Nava Teja Tummalapalli, and Sujay Sundaram.
Neuromorphic photonics with coherent linear optical neurons
The USPTO published patent application US20260093974A1 by Pleros et al. covering neuromorphic photonic computing systems using coherent linear optical neurons implemented with multipath optical interferometers. The application includes optical amplitude modulators, phase shifters, and photodetectors for non-linear activation functions in optical neural networks. The patent was filed on July 7, 2025, under application number 19261861.
Analog Neuromorphic Circuits for Dot-Product Operations Implementing Resistive Memories
The USPTO published patent application US20260093973A1 for analog neuromorphic circuits implementing resistive memories for dot-product operations. Inventors Chris Yakopcic, Tarek M. Taha, and Md Raqibul Hasan disclose a circuit architecture where input voltages representing vector values are processed through paired resistive memories, with resistance values converted to weighted matrix values for neural network computations. The application was filed December 9, 2025, and published April 2, 2026.
Electronic Device, Terminal, and Operating Method with Neural Network Lightweighting
Samsung Electronics Co., Ltd. filed patent application US20260093989A1 for an electronic device and operating method that generates candidate neural networks by excluding nonlinear layers, selects candidates based on importance and latency values, and merges successive convolution layers. The patent (Application No. 19329970) was published April 2, 2026, with inventors Jinuk Kim and Hyun Oh Song. The invention relates to CPC classifications G06N 3/082 and G06N 3/0464, covering neural network optimization and compression techniques.
Computer System and Method for Quantizing Artificial Neural Network Model
USPTO published patent application US20260093987A1 by NOTA, INC. for a neural network quantization method that identifies outliers from activation elements and regularizes weights based on outlier relevance before quantization. The application was filed November 12, 2024.
Multiple Instance Learning for Content Feedback Localization Without Annotation
USPTO published patent application US20260093986A1 for a method predicting annotation spans without labeled annotation data, treating Automated Essay Scoring (AES) as a Multiple Instance Learning (MIL) task. The invention enables models to predict content scores and localize content using sentence-level predictions without annotation training data. Inventors include Scott HELLMAN, Peter W. FOLTZ, Lee BECKER, and William R. MURRAY.
Using Compressed Representations to Adapt Generative Models to New Context Data
USPTO published patent application US20260093991A1 for methods and systems using compressed representations to adapt generative models to new context data. The application was filed on October 2, 2025, by inventors Yoel Yehuda Zeldes, Amir Zait, Efrat Farkash, Ilia Labzovsky, and Danny Karmon. The invention involves processing compressed representations with a trained compression model to generate responses to queries through a generative neural network.
Neural Network Alignment Using Filter Layers
The USPTO published patent application US20260093990A1 describing methods for aligning pre-trained generative neural networks by introducing trainable filter layers. The filter layers process outputs from pre-trained network stacks while keeping the original pre-trained parameters fixed. Inventors: Xiangyu Qi, Xiao Ma, Ahmad Beirami.
Attention Mechanism Adjustment Method Based on Attention Score and Computing Device
The USPTO published patent application US20260093988A1 by Industrial Technology Research Institute for an attention mechanism adjustment method in Transformer models. The invention performs cross-head column-wise aggregation on attention score matrices to determine token importance, then prunes less important tokens before softmax operations. This reduces computational complexity while maintaining model performance.
Training Transformers Using Sliceout Dropout
The USPTO published patent application US20260093985A1 filed by Cohere Inc., covering a system and method for training transformer neural networks using 'Sliceout' dropout operations. The method slices contiguous memory segments of weight matrices instead of randomly dropping weights, preserving regularization while reducing computational overhead and memory requirements. Application No. 19412214 was filed December 8, 2025.
ML Model Characterizes Solid-State Detectors and Reduces Defect Levels
USPTO published patent application US20260093984A1 by Srutarshi Banerjee et al. describing a physics-based neural network model that learns trapping, detrapping, and charge transport properties in solid-state detectors on a voxel-by-voxel basis. The invention reduces experimental data requirements by using electrode signals or free charge data alone to train the model, with regularization techniques to handle reduced training data.
Embedded Neural Network System and Information Processing Method
USPTO published patent application US20260093983A1 for an embedded neural network system. The application, filed November 12, 2025 (No. 19386261), covers an information processing system with an embedded information acquisition unit and a generation unit that embeds information into neural network elements. Inventors: Yuko ISHIWAKA, Kazuto SUDA, Minoru OWADA.
Efficient Decoding of Output Sequences Using Parameter Sharing
USPTO published patent application US20260093982A1 for methods and systems enabling efficient decoding of output sequences using parameter sharing in machine learning tasks. The application, filed by six inventors including Adam Joshua Fisch and Tal Schuster, covers techniques for generating output sequences by processing embeddings through layer blocks until termination criteria are met.
Accenture patent enhances LLM performance via data curation
Accenture patent enhances LLM performance via data curation
DOCSIS Profile Optimization for Cable Networking
USPTO published patent application US20260095343A1 for DOCSIS profile optimization in cable networking systems. The application, filed December 8, 2025, discloses methods for managing and optimizing profiles assigned to user devices over network communication channels using memorization matrices. Inventors are Karthik Sundaresan, Gregory C. White, and Jingjie Zhu.
Federated Fraud Detection with Homomorphic Encryption
The USPTO published Patent Application US20260094206A1 for an apparatus and method enabling federated fraud detection across multiple entities using privacy-preserving techniques including homomorphic encryption and federated learning. The system ingests signals from financial, transactional, or compliance data exchanges, normalizes and enriches the data, and computes risk scores using statistical or neural network models to generate alerts and route operations. Inventors are Sebastian Pascal and Marie France Pascal.
VertiGIS FM Critical Vulnerability - Remote Code Execution and XSS
CERT-Bund issued security advisory WID-SEC-2026-0959 disclosing critical vulnerabilities in VertiGIS FM building management software. The vulnerabilities carry a CVSS Base Score of 9.9 (critical) and CVSS Temporal Score of 8.9 (high), enabling remote authenticated attackers to execute arbitrary code and conduct cross-site scripting attacks. Affected versions are VertiGIS FM prior to 10.11.363 and 10.13.403.
Devolutions Server vulnerabilities allow remote authenticated admin takeover
Devolutions Server vulnerabilities allow remote authenticated admin takeover
pfSense Remote Code Execution Vulnerabilities
CERT-Bund issued Security Advisory WID-SEC-2026-0961 disclosing multiple high-severity vulnerabilities (CVSS Base Score 8.8) in Netgate pfSense Plus and CE software. Affected versions include pfSense Plus <26.03, <26.07 and CE <2.8.1. Remote attackers can exploit these flaws to execute arbitrary code or conduct cross-site scripting attacks. Mitigation measures are available.
HCL BigFix Platform Multiple Vulnerabilities
CERT-Bund issued a security advisory (WID-SEC-2026-0960) identifying multiple vulnerabilities in HCL BigFix Platform affecting versions prior to 11.0.6. The vulnerabilities carry a CVSS Base Score of 8.8 (high) and a Temporal Score of 7.7 (high). Local attackers can exploit these flaws to bypass security mechanisms and disclose sensitive information. Mitigation measures are available.
Data Security Access Control Permissions System
The USPTO published patent application US20260093834A1 for systems and methods of enforcing data security access control permissions. The invention covers obtaining data object requests from clients, determining client access levels and data permissions, and conditionally transmitting data based on access-permission matching. Inventors: Peter Wilczynski and Stephen Freiberg.
Centralized Vulnerability Security Scanning and Distributed Detection
Oracle International Corporation filed patent application US20260093820A1 with USPTO for a centralized vulnerability security scanning and distributed detection system. The invention enables receiving image scan results from cloud environments and comparing them against container identity data to identify vulnerable software running in deployed containers, generating GUI alerts for security teams.
Quantum Echo Encryption and Retrospective Decryption Mitigation
USPTO published patent application US20260093811A1 for quantum echo encryption methods using quantum-entangled particles. The system generates disturbance echoes when unauthorized parties attempt to access quantum-encrypted data, rendering the data unintelligible. The application (18891040) was filed September 20, 2024.
Neural Network Weight Fetching Based on Calibration Operations
USPTO published patent application US20260093971A1 by inventor Weiliang Liu, disclosing techniques for fetching neural network weights based on calibration operations. The application (G06N 3/065) covers apparatuses and systems for executing neural networks with optimized weight retrieval. No compliance obligations or deadlines are associated with this publication.
Neural Network Processor, System-on-Chip, Data Processing Method, and Storage Medium
USPTO published patent application US20260093970A1 on April 2, 2026, disclosing a neural network processor and system-on-chip design. Inventors Yongkang XU and Yibo HE filed Application No. 19388033 on November 13, 2025. The invention (CPC: G06N 3/063) relates to systems-on-a-chip technology for neural network operations.
Neural Network Sparsity Methods for Computational Efficiency
USPTO published patent application US20260093967A1 for methods improving neural network efficiency through increased sparsity. The application, filed October 2, 2025, covers systems that use predictor values to determine item importance and selectively limit computation to a proper subset. Named inventors include researchers from Google and academic institutions.
Pre-compute Storage Memory Neural Network System
The USPTO published patent application US20260093966A1 filed by Swarup Bhunia et al. describing a pre-compute storage memory system for neural networks. The system includes a memory array storing weight activation sets and an address decoder that retrieves pre-computed results matching input operands for use in determining neural network layer activations during inference or training.
Sparse activation-aware weight loading for ML inference
The USPTO published patent application US20260093965A1 by inventors Mahdi Heydari et al. describing techniques for sparse activation-aware weight loading and inference for machine learning models. The application covers methods for identifying non-zero values in activation tensors and loading only corresponding weight channels to optimize memory usage and computational efficiency during ML inference.
Block-Based Compression of Neural Network Data
The USPTO published patent application US20260093964A1 by inventor Navin Patel describing a method for compressing neural network data blocks. The system converts trained neural network weights into 2D blocks and treats them as color data (monochrome or RGB) for block-level compression, reducing memory and bandwidth requirements while maintaining data fidelity during inference operations.
Consistency model mimics diffusion model denoising trajectory
Consistency model mimics diffusion model denoising trajectory
Amplifying Non-Linearity in Feedforward Network Module
USPTO published patent application US20260093963A1 by eight inventors (Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao, Emad Barsoum) covering modifications to the FFN module framework in machine learning models. The application describes an improved nonlinear function designed to decrease hidden dimensions of the FFN module, thereby reducing computational costs. Application No. 18957488 was filed on November 22, 2024.
Digital Injection-Locked Oscillator
The USPTO published patent application US20260093969A1 for a digital injection-locked oscillator invented by Franck Badets. The invention describes a circuit with an adder adding digital words, a register updating based on clock signals, and a first circuit receiving reference signals at natural frequencies. The application (No. 19341044) was filed September 26, 2025, and published April 2, 2026.
Memory Circuits and Methods for Encoder/Decoder Dual Mode for Compute-in-Memory
The USPTO published patent application US20260093968A1 by Taiwan Semiconductor Manufacturing Company (TSMC) covering integrated circuit memory circuits for compute-in-memory (CIM) operations. The patent describes dual-mode encoder/decoder circuits using multiply-accumulate (MAC) operations with data multiplexer paths for efficient processing of neural network and AI workloads.
Interactive Driving Environment Stories via Learning Model
USPTO published patent application US20260091321A1 disclosing a system and method for generating interactive stories about driving environments using a learning model. The invention acquires sensor data from vehicles, contextual cues about occupants, and their preferences to generate and dynamically adjust interactive virtual driving stories displayed within the vehicle. Application No. 18902256 was filed on September 30, 2024.
Machine Learning System for Modifying ADAS Behavior for Optimum Vehicle Trajectory
USPTO published patent application US20260091794A1 by inventors Nakamura and Kim for a machine learning system that modifies Advanced Driver Assistance Systems (ADAS) behavior to achieve optimum vehicle trajectory. The system uses V2X communication to transmit vehicle-specific customized data and receives individualized optimum behavior data, enabling connected vehicles to implement region-wide optimum behaviors while satisfying individual vehicle needs.
Automated High Throughput Protorheology
USPTO published patent application US20260092850A1 disclosing methods and systems for automatic, high-throughput estimation of rheological properties of fluidic materials using videography and neural-network processing. The invention enables parallel testing to achieve economical property predictions without expensive rheometric equipment.
ML-based Furniture Layout Generation in Virtual Spaces
USPTO published patent application US20260091318A1 on April 2, 2026, disclosing machine learning techniques for generating recommended furniture layouts in virtual spaces within online games. The system processes space configurations, user criteria such as furniture style and budget, and characteristics of proximate spaces to output AI-generated furnished layouts. Inventors include Anushka Nair, Nitish Victor, Caedmon Somers, Ashwin Nathan, Han Liu, Jesse Hans Stokes Harder, and Marjan Moodi.
Methods and Systems of Predicting Total Loss Events
USPTO published patent application US20260091748A1 assigned to Cambridge Mobile Telematics Inc., covering machine learning methods for predicting total loss events. The system uses mobile device sensors to detect crash events and generates confidence scores for total loss predictions using multiple ML models. Application was filed December 9, 2025 and published April 2, 2026.
Artificial Intelligence Aiding for Gyrocompassing
Honeywell International Inc. filed patent application US20260092782A1 for an AI-assisted gyrocompassing system. The invention uses a trained machine learning model to predict vehicle attitude, heading, or latitude from inertial measurement unit data, reducing initial alignment time during gyrocompass unit start-up. The application was filed October 1, 2024, and published April 2, 2026.
System and Method for Identification of Archaeological Features Using Remotely Sensed Data
The USPTO published patent application US20260092777A1 for an AI-driven system designed to identify gravesites and archaeological features through remote sensing and machine learning. Invented by Nicholas A. Kuncewicz, the technology integrates multimodal data including spectral imagery and LiDAR to detect and classify features. No compliance obligations arise from this patent application publication.
Method and Apparatus for Determining Physical State of Object via Neural Network
USPTO published patent application US20260093961A1 for a computer-implemented method using neural networks to determine physical states of objects. The method divides object shapes into sub-shapes, computes local solutions via a neural network model, and derives global solutions representing the object's physical state. Invented by Jianing Huang, Youjia Wu, Kaixuan Zhang, and Ze Cheng. This is an informational publication with no regulatory obligations.
Processing Parallelism for Machine Learning Model Training
The USPTO published patent application US20260093523A1 for a processing system that schedules parallel training of machine learning model instances based on microbatch counts. The system identifies expected idle cycles of processing units during training and schedules additional model instances during those periods. Inventors include Sumanth Gudaparthi, Yao Cui Fehlis, Karthik Ramu Sangaiah, and Sonali Singh. The application was filed on September 30, 2024.
Configurable Artificial Intelligence Powered Software Assistant
The USPTO published patent application US20260093507A1 filed by UiPath, Inc. for a configurable AI-powered software assistant providing co-pilot guided automation experiences using contextual knowledge repositories. The application covers methods for AI model-based recommendation responses within a decision-making structure. Application No. 18941083 was filed on November 8, 2024.
LLM Speculative Decoding for AI Inference Acceleration
The USPTO published patent application US20260093960A1 by inventors Yao Cui Fehlis and Jalal Uddin Mahmud, disclosing a method for accelerating large language model inference using speculative decoding. The invention uses a neural network to output speculative decoding parameters iteratively, minimizing cumulative runtime. The patent covers CPC classifications G06N 3/047, G06F 40/284, and G06N 3/092.
Method for Training ML Model to Generate Text
USPTO published patent application US20260093959A1 for a computer-implemented method training machine learning models for text generation. The method involves preprocessing input text into character vectors, encoding to word vectors, generating predictive word vectors via a backbone model, and decoding to character probabilities for model updates. Inventors: Lukas Balles and Pit Neitemeier. Application filed September 29, 2025.
AI system predicts task completion using resource history
USPTO published patent application US20260093528A1 by inventor John Graham Cvinar for an AI system that schedules tasks by predicting task completion using resource history, task completion history, experience, and availability data.
AI classifier training using anomaly detection methods
The USPTO published patent application US20260093782A1 by inventors Krishnaprasad and Somashekhar describing systems and methods for training AI classifiers using anomaly detection. The application covers a two-phase approach where anomaly detection rules initially label data instances, then a trained classification model takes over once performance thresholds are met. This applies to machine learning model development for anomaly detection in various data sets.
Dynamic Microarchitecture Adaptation Using Machine Learning
The USPTO published patent application US20260093501A1 by inventors Zhu Zhou, Bin Li, Gilles Pokam, and Wessam Elhefnawy for dynamic microarchitecture adaptation using machine learning. The invention discloses a reinforcement learning model trained on microarchitectural performance data to configure processor settings based on telemetry and workload characteristics. Application No. 18900524 was filed September 27, 2024.
VIASAT patent for ML-based RF apparatus tuning
VIASAT patent for ML-based RF apparatus tuning
Protection Architecture Using Proof of Integrity on Distributed Ledgers
Wells Fargo Bank, N.A. received a published patent application (US20260093799A1) from the USPTO for a system and method restricting digital asset exchanges using a proof of integrity model on distributed ledgers. The system validates exchange requests against a protection model, authorizes transactions via consensus, and generates new blockchain blocks with appended protection parameters. Inventors: Govinda Rajulu Nelluri, Vinay K. Pandey, Shashank Raju Birudharaju.
Cryptographic ownership vouchers for endpoint device onboarding
USPTO published patent application US20260093788A1 on April 2, 2026, disclosing cryptographic methods for managing endpoint device ownership through voucher-based delegation. The invention enables self-to-self ownership transfer where current owners can delegate authority to themselves while maintaining cryptographic verification security.
Chrome Dawn Use-After-Free Remote Code Execution Vulnerability
CISA added CVE-2026-5281 to the Known Exploited Vulnerabilities catalog. This is a use-after-free vulnerability in Google Chrome's Dawn component (versions prior to 146.0.7680.178) that allows remote code execution via a crafted HTML page. The vulnerability has an active exploitation status per SSVC analysis and a CVSS score of 8.8 (High).
Zero-Day Chrome Vulnerability - Immediate Update Required
The Cyber Security Agency of Singapore issued an urgent alert regarding CVE-2026-5281, a use-after-free zero-day vulnerability in Google Chrome's Dawn WebGPU implementation. The vulnerability affects Chrome versions prior to 146.0.7680.177/178 on Windows and Mac, and 146.0.7680.177 on Linux, and is reportedly being actively exploited in the wild.
ICE Detains Illegal Alien Charged with Child Pornography
DHS announced that ICE issued an arrest detainer asking Dallas authorities to not release Orvin Bayardo Fuentes Borjas, an illegal alien from Honduras, who was arrested in Irving, Texas, for possession of child pornography. The individual has a final order of removal from a prior immigration proceeding. ICE is requesting Dallas hold him for transfer to federal custody.
ICE Detainer Request for Criminal Alien Charged with Kidnapping and Child Rape
ICE lodged an arrest detainer requesting Fayette County Jail in Lexington, Kentucky, hold Jorge Luis Martinez-Ulloa, a 31-year-old illegal alien from Honduras charged with kidnapping, rape of a child under 12, sodomy of a minor, assault, and strangulation. ICE requested the jail not release the individual without notifying federal immigration authorities. The detainer was issued March 29, 2026, following local police arrest on the criminal charges.
ICE Detainer Request in Virginia Infant Homicide Case
ICE issued an arrest detainer requesting Virginia authorities not release a criminal illegal alien charged with murdering his 3-month-old daughter in Fairfax County. DHS announced the detainer was issued to prevent the individual from being released back into the community while facing homicide charges.
ICE Arrests MS-13 Gang Member Wanted for Murder in El Salvador
ICE announced the arrest of David Antonio Aviles Perez, a Salvadoran national and MS-13 gang member, in San Diego, California on March 26, 2026. The subject has an international warrant for aggravated murder in El Salvador and a criminal history including assault with a deadly weapon and drug possession in California. The arrest was announced by Acting Assistant Secretary Lauren Bis.