Results 251 to 260 of about 4,895,571 (286)

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Artificial Intelligence-Driven Sensing of Cross-Border Trade Risks Through Declaration-to-Physical-Fact Alignment and Evidence-Grounded Question Answering. [PDF]

Sensors (Basel)
Chen M, Huang J, Zhou Z, Zhang Z, Lei K, Tang Y, Li M.   +6 more
europepmc   +1 more source

Comparative performance of contemporary multimodal large language models in retinal imaging question answering. [PDF]

Front Med (Lausanne)
Gu X, Yang Y, Lin X, Chen X.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Multiple answers to a question: a new approach for visual question answering

The Visual Computer, 2020
With the advent of deep learning, multi-modal data have been of great interest. One of the multi-modal tasks which can be included in the computer vision domain is visual question answering (VQA). In VQA, a question and an image are entered into the model and the model tries to answer the question according to the image.
Sayedshayan Hashemi Hosseinabad, Mehran Safayani, Abdolreza Mirzaei   +2 more
openaire   +1 more source

Visual Question Answering

2024 International Conference on Computing, Networking and Communications (ICNC)
Abstract - Vision-Language Pre-Training (VLP) significantly improves performance for a variety of multimodal tasks. However, existing models are often specialized in understanding or generation, which limits their versatility. Furthermore, trust in text data for large, loud web text remains the optimal approach for monitoring.
Ahmed Nada, Min Chen
openaire   +3 more sources

Answer Distillation for Visual Question Answering

2019
Answering open-ended questions in Visual Question Answering (VQA) is a challenging task. As the answers are totally free-form, the answer space for open-ended questions is infinite in theory. This increases the difficulty for algorithms to predict the correct answers. In this paper, we propose a method named answer distillation to decrease the scale of
Zhiwei Fang, Jing Liu 0001, Qu Tang, Yong Li 0034, Hanqing Lu   +4 more
openaire   +1 more source

Visual Question Answer Diversity

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2018
Visual questions (VQs) can lead multiple people to respond with different answers rather than a single, agreed upon response. Moreover, the answers from a crowd can include different numbers of unique answers that arise with different relative frequencies.
Chun-Ju Yang, Kristen Grauman, Danna Gurari   +2 more
openaire   +1 more source