Results 71 to 80 of about 16,504,576 (273)

Personalized Nutrition-Aware Dietary Recommendation With Multimodal Large Language Models

IEEE Access
Poor diet quality is a major modifiable risk factor for obesity, cardiovascular disease, and metabolic disorders, motivating a growing ecosystem of diet-tracking apps and recipe platforms that promise personalized guidance. However, most of these systems
Xiwen Deng, Wenzhe Tu
doaj   +1 more source

A Survey on Benchmarks of Multimodal Large Language Models

CoRR
Multimodal Large Language Models (MLLMs) are gaining increasing popularity in both academia and industry due to their remarkable performance in various applications such as visual question answering, visual perception, understanding, and reasoning. Over the past few years, significant efforts have been made to examine MLLMs from multiple perspectives ...
Li, Jian, Lu, Weiheng, Fei, Hao, Luo, Meng, Dai, Ming, Xia, Min, Jin, Yizhang, Gan, Zhenye, Qi, Ding, Fu, Chaoyou, Tai, Ying, Yang, Wankou, Wang, Yabiao, Wang, Chengjie   +13 more
openaire   +3 more sources

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

FMRAG: retrieval-augmented multimodal large language models for fisheries intelligence

Frontiers in Marine Science
IntroductionMultimodal large language models (MLLMs) have exhibited significant potential for fisheries analysis. However, their inherent hallucination issues in species identification, ecological activity interpretation, environmental assessment, and ...
Yao Song, Yao Song, Chunli Lv, Kun Zhu
doaj   +1 more source

Revealing Multimodal Causality with Large Language Models

Advances in Neural Information Processing Systems 38
Accepted at NeurIPS ...
Jin Li 0002, Shoujin Wang, Qi Zhang 0020, Feng Liu 0003, Tongliang Liu, Longbing Cao, Shui Yu 0001, Fang Chen 0001   +7 more
openaire   +2 more sources

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Foundation models in medical imaging: A review

EngMedicine
Foundation models (FMs), which are large-scale architectures pretrained on diverse datasets, are rapidly reshaping artificial intelligence (AI).
Qianqian Chen, Anglin Liu, Jingyang Zhang, Chunfeng Yang, Yudong Zhang   +4 more
doaj   +1 more source

Research Survey on Emotion Recognition Large Language Models [PDF]

Jisuanji kexue yu tansuo
The rapid development of large language models offers a new paradigm for emotion recognition, demonstrating significant advantages over conventional methods in complex scenario understanding, zero/few-shot generalization, and multimodal collaborative ...
WU Ao, WANG Hailong, LIU Lin, SHI Wentao
doaj   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Multimodal Navigation System for Visually Impaired Users Using Environmental Perception and Vision-Language Models

Sensors
Visually impaired users face significant challenges in navigating complex indoor environments due to limited spatial awareness and lack of real-time semantic guidance.
Huei-Yung Lin, Yu-Hsiang Fan, Chin-Chen Chang   +2 more
doaj   +1 more source