Results 41 to 50 of about 33,394 (282)

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

, 2016
Sequential data often possesses a hierarchical structure with complex dependencies between subsequences, such as found between the utterances in a dialogue.
Bengio, Yoshua, Charlin, Laurent, Courville, Aaron, Lowe, Ryan, Pineau, Joelle, Serban, Iulian Vlad, Sordoni, Alessandro   +6 more
core   +1 more source

Synesthesia: Detecting Screen Content via Remote Acoustic Side Channels

, 2019
We show that subtle acoustic noises emanating from within computer screens can be used to detect the content displayed on the screens. This sound can be picked up by ordinary microphones built into webcams or screens, and is inadvertently transmitted to ...
Genkin, Daniel, Pattani, Mihir, Schuster, Roei, Tromer, Eran   +3 more
core   +1 more source

CORE: Cholesterol Altered Lipid Nanoparticles for Splenic Expression of mRNA Payloads

Advanced Healthcare Materials, EarlyView.
In this paper researchers introduce CORE LNPs, a new class of lipid nanoparticles engineered to redirect mRNA expression away from the liver and into the spleen, a key immune organ. By combining chemical design with computational tools, they created cholesterol analogs that enable precise spleen‐targeted expression, providing greater applications for ...
Eshan A. Narasipura, Vincent Fung, Rachel VanKeulen‐Miller, Palas B. Tiwade, Owen S. Fenton   +4 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Artificial intelligence enhanced Chatbot boom: A single center observational study to evaluate assistance in clinical anesthesiology

Journal of Anaesthesiology Clinical Pharmacology
Background and Aims: The field of anaesthesiology and perioperative medicine has explored advancements in science and technology, ensuring precision and personalized anesthesia plans. The surge in the usage of chat-generative pretrained transformer (Chat
Sowmya M. Jois, Srinivasan Rangalakshmi, Sowmya Madihalli Janardhan Iyengar, Chethana Mahesh, Lairenjam Deepa Devi, Arun Kumar Namachivayam   +5 more
doaj   +1 more source

Chat GPT and its Capabilities

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: ChatGPT is a large language model that uses deep learning techniques to generate human-like text.It is based on the GPT (Generative Pre-Trained Transformer)architecture, which uses a transformer neural network to process and generate text. The model is pre trained on a massive dataset of text such as books, articles and websites, so it can ...
Sharada Vishvanath Sarode, Vrunda Kantilal Bhamare   +1 more
openaire   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Making Peace with Change: The Effect of GPT Chat Utilization on the Performance of Islamic Religion Teachers in Creating Teaching Modules

Jurnal Pendidikan Agama Islam
Purpose – This study aims to explore the effect of GPT Chat utilization on the performance of Islamic religion teachers in making teaching modules. Specifically, this study examines (1) the performance of Islamic religion teachers before utilizing Chat ...
Syamsul Kurniawan, Saifuddin Herlambang, Nopita Sari, Fikri Fadian, Bayu Suratman, Vibry Andina Nurhidayah, Abdel Kadir Naffati, Torikoh   +7 more
doaj   +1 more source