यह प्राकृतिक भाषा प्रसंस्करण (NLP) पर अंग्रेजी में दुनिया भर के प्रकाशनों और पेटेंटों का हमारा नवीनतम चयन है, कई वैज्ञानिक ऑनलाइन पत्रिकाओं के बीच, जो वर्गीकृत और केंद्रित हैं प्राकृतिक भाषा प्रसंस्करण, टोकनाइजेशन, स्टेमिंग, लेमेटाइजेशन, पार्ट-ऑफ-स्पीच, नामित इकाई पहचान और भावना विश्लेषण पर।
Interactive virtual reality-based therapy and ai system for mental health improvement and behavior optimization
Patent published on the 2026-10-08 in WO under Ref WO2026210186 by EHTEDA ARIO [IR] (Ehteda Ario [ir])
Abstract: The present invention relates to a comprehensive AI-driven mental health management and behavioral optimization system that integrates Virtual Reality (VR) environments, Artificial Intelligence (AI) technologies, and advanced therapeutic tools to address psychological conditions, optimize emotional well-being, and promote behavioral improvements. The system features mood-responsive VR environments that adapt in real time to users emotional states, providing immersive therapeutic experiences thr[...]
Our summary: The system integrates VR environments and AI technologies for mental health management. It features mood-responsive environments that adapt to users emotional states. The invention delivers personalized interventions through NLP and physiological monitoring for behavioral growth.
Virtual Reality, Artificial Intelligence, Mental Health, Behavioral Optimization
Patent
Systems and methods for on-device application-specific natural language processing
Patent published on the 2026-10-08 in US under Ref US20260310660 by VERIZON PATENT AND LICENSING INC [US] (Miasnikov Stanislav Olegovich [us])
Abstract: [0000] A device described herein may receive a curated question and answer (“Q/A”) set, wherein the curated QA set includes a plurality of sets of query matching parameters that are each associated with a respective answer; tune a large language model (“LLM”) based on the curated Q/A set to generate a tuned LLM; receive a query from a requestor; select a particular set of query matching parameters, from the plurality of sets of query matching parameters, based on the query; identify a pa[...]
Our summary: The device receives a curated question and answer set with query matching parameters. It tunes a large language model based on this set to generate responses. The device processes queries by selecting matching parameters and generating augmented queries for improved responses.
Natural Language Processing, Large Language Model, Query Matching, Augmented Query
Patent
Systems and methods for generating context-oriented summary of audio conversations in real time
Patent published on the 2026-10-01 in US under Ref US20260301733 by GENESYS CLOUD SERVICES INC [US] (Akella Niranjan [in], Elluru Nareshkumar [in], Buduguppa Pavan [in], Sundaram Ramasubramanian [in])
Abstract: A system for generating context-oriented summaries of audio conversations in real time includes a principal model with a transformer-based model and a natural language processing model and is pre-trained with training audio data to generate summaries. The pre-trained principal model receives real-time audio data, which is processed by the transformer-based model to generate a series of encoder hidden state tensors. The series of encoder hidden state tensors is processed by an independent self-at[...]
Our summary: The system utilizes a transformer-based model and natural language processing to generate context-oriented summaries of audio conversations. It processes real-time audio data through a series of encoder hidden state tensors and an independent self-attention layer. The final output is a fixed-length tensor representation that is decoded into summaries.
audio summarization, natural language processing, transformer model, real-time processing
Patent
Multi-modal synthetic voice detection system and method
Patent published on the 2026-10-01 in US under Ref US20260301749 by AT & T IP I LP [US] (Diffloth Antoine [us], Paulraj Prince [us], Manoharan Sundaresan [us])
Abstract: [0000] Aspects of the subject disclosure may include, for example, a method of: receiving, by a processing system including a processor, an audio input from a caller of a call; using passive detection techniques to analyze, by the processing system, the audio input to extract acoustic features, spectral patterns, prosodic elements, and lexical characteristics; initiating, by the processing system, active engagement with the caller by generating an interactive challenge via an artificial intellig[...]
Our summary: The system analyzes audio input using passive detection techniques to extract features. It engages callers with interactive challenges generated by an AI agent. Responses are processed to assess voice authenticity through a composite detection score.
synthetic voice detection, audio processing, natural language processing, artificial intelligence
Patent
Systems and method utilizing large language models to summarize and interpret outputs from automated hazard detection systems and recommend actions
Patent published on the 2026-10-01 in US under Ref US20260300879 by EXEBENUS AS [NO] (Suhail Saba [us], Robinson Timothy S [us], Revheim Olav E [no], Bekkeheien Paal [us])
Abstract: [0000] The disclosure describes a method and framework for linking one or more operational hazard detection systems to natural language processing tools, such as large language models, for improving and automating the processes of information retrieval during a hazard situation, provision of interpretations relating to the hazard scenario as well as recommended actions for mitigating the hazard in accordance with best practices in a particular operational context. Example embodiments are provide[...]
Our summary: The method links operational hazard detection systems to natural language processing tools. It enhances information retrieval and provides interpretations and recommendations during hazard scenarios. Example embodiments focus on hazards in subterranean well construction operations.
hazard detection, natural language processing, large language models, automated recommendations
Patent
An automated legal analytical system for document analysis, multilingual recommendation, contract generation and tamper-evident reporting
Patent published on the 2026-09-30 in ZA under Ref ZA202600640 by VISHWAKARMA INST OF TECHNOLOGY [IN] (Pandey Vanshika Nimesh [in], Bharambe Dnyanesh Mahendra [in], Dhamale Divyanka Devram [in], Dhadave Adwait [in], Chaudhari Prasad B [in], Pawar Yogesh [in], Chavhan Pranali G [in], Mahalle Parikshit N [in])
Abstract: The present invention is related to an automated legal analytical system for document analysis, multilingual recommendation, contract generation and tamper-evident reporting. A computer-implemented system for receiving legal documents in multiple formats, converting those documents into machine-readable text, extracting and classifying clauses, computing a recommendation score based on clause-level assessments, generating human-readable explanations, offering a retrieval-augmented legal chatbot [...]
Our summary: The system automates legal document analysis and contract generation using NLP and machine learning. It supports multilingual recommendations and tamper-evident reporting. Key features include clause extraction, semantic comparison, and a legal chatbot.
automated legal analysis, multilingual processing, contract generation, tamper-evident reporting
Patent
Assessing Collaborative Brainstorming Tasks in Virtual Reality and Desktop Environments
Published on 2026-07-02 by @MIT
Abstract: AbstractCollaboration builds the collective development of new ideas, perspectives, and ways of working. By engaging in shared collaborative tasks, teams can strengthen professional relationships and improve creative outcomes. Since the COVID-19 pandemic, the adoption of digital tools for remote collaboration has grown rapidly, with desktop-based applications now widely used to manage teams, conduct workshops, and support ideation. In parallel, advances in virtual reality (VR) technology and the[...]
Our summary: This study evaluates collaborative brainstorming in VR and desktop environments. Results indicate comparable idea generation and communication levels between both platforms. However, VR users reported higher perceived task effort, suggesting increased workload.
Collaboration, Virtual Reality, Desktop Environments, Brainstorming
Publication
Attention-guided transformer architecture for fine-grained style representation in design systems
Published on 2026-05-01 by @OXFORD
Abstract: AbstractInterior design style recognition presents a challenging computational problem due to fine-grained inter-style similarities, complex spatial arrangements, and strong variability in materials, lighting, and layout. From a computational design and engineering perspective, accurately modelling such stylistic variations is essential not only for classification, but also for enabling semantic representation, retrieval, and analysis of design cases within data-driven design systems. However, e[...]
Our summary: This study introduces InDes, a curated dataset for interior design style recognition with 3826 images across five styles. It presents AT3, an attention-guided transformer architecture that enhances feature extraction and global context modeling. The proposed method achieves significant performance improvements in classification accuracy and supports downstream design-oriented tasks.
Attention-guided, transformer architecture, interior design, style recognition
Publication
