Results 51 to 60 of about 36,775 (295)

Retrieval-augmented AI assistants for healthcare: System design and evaluation

This dissertation explores the application of Retrieval-Augmented Generation (RAG) in AI models to address the challenges posed by fragmented personal health data.
Meleka, Mark
core   +1 more source

Design and Modeling of a High‐Displacement, Skin‐Integrated Flexible Electromagnetic Actuator for Haptic Interfaces in Virtual Reality

Advanced Robotics Research, EarlyView.
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay, Alexandra Zhang Jiang, Ziteng Liu, Rachel Villamor, Derek Cha, Ananya Renuka Balakrishna, Tianshu Liu, Priyanshu Agarwal, Rainer Dömer, Camilo Velez   +9 more
wiley   +1 more source

Advancing Retrosynthesis with Retrieval-Augmented Graph Generation

Diffusion-based molecular graph generative models have achieved significant success in template-free, single-step retrosynthesis prediction. However, these models typically generate reactants from scratch, often overlooking the fact that the scaffold of ...
Rao, J, Wang, Z, Wang, Zhen, Qiao, A, Yang, Y, Qiao, Anjie, Rao, Jiahua, Yang, Yuedong, Wei, Z, Wei, Zhewei   +9 more
core   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

, 2023
With direct access to human-written reference as memory, retrieval-augmented generation has achieved much progress in a wide range of text generation tasks.
Liu, Lemao, Zhao, Dongyan, Cheng, Xin, Chen, Xiuying, Yan, Rui, Luo, Di   +5 more
core   +1 more source

LLM based QA chatbot builder: A generative AI-based chatbot builder for question answering

SoftwareX
Large language model (LLM) based interactive chatbots have been gaining popularity as a tool to serve organizational information among people. Building such a tool goes through several development phases i.e.
Md. Shahidul Salim, Sk Imran Hossain, Tanim Jalal, Dhiman Kumer Bose, Mohammad Jahid Ibna Basher   +4 more
doaj   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Multimodal retrieval-augmented generation framework for visually rich knowledge in the architecture domain

Architectural Intelligence
Architectural design relies heavily on rich and multimodal knowledge—including text descriptions, detailed tables, and complex visual information—to inform creative and technical decision-making.
Xianchuan Meng, Ziyu Tong
doaj   +1 more source

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

Advanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won, Jaehyun Jang, Hyeonseo Kim, Inyoung Choi, Steve Park, Seongjun Park   +5 more
wiley   +1 more source

CoRAG: Collaborative Retrieval-Augmented Generation

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
Retrieval-Augmented Generation (RAG) models excel in knowledge-intensive tasks, especially under few-shot learning constraints. We introduce CoRAG, a framework extending RAG to collaborative settings, where clients jointly train a shared model using a collaborative passage store.
Aashiq Muhamed, Mona T. Diab, Virginia Smith   +2 more
openaire   +2 more sources