Results 81 to 90 of about 16,504,576 (273)

Design of Web Automation Agent Based on Multimodal Large Language Models [PDF]

Jisuanji kexue yu tansuo
Traditional Web automation methods rely on scripted operation strategies, which suffer from poor robustness and high maintenance costs, making them difficult to adapt to the dynamic and complexity of modern Web systems.
DUAN Wenrui, WANG Fuxi, HUANG Jian, GAO Tao, SHEN Bo, LIU Huyuntian
doaj   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models [PDF]

Multimodal Large Language Model (MLLM) relies on the powerful LLM to perform multimodal tasks, showing amazing emergent abilities in recent studies, such as writing poems based on an image. However, it is difficult for these case studies to fully reflect
Ji, Rongrong, Yang, Jinrui, Sun, Xing, Chen, Peixian, Qin, Yulei, Zhang, Mengdan, Zheng, Xiawu, Li, Ke, Wu, Yunsheng, Shen, Yunhang, Lin, Xu, Fu, Chaoyou   +11 more
core   +1 more source

Multiple Large AI Models’ Consensus for Object Detection—A Survey

Applied Sciences
The rapid development of large artificial intelligence (AI) models—large language models (LLMs), multimodel large language models (MLLMs) and vision–language models (VLMs)—has enabled instruction-driven visual understanding, where a single foundation ...
Marcin Iwanowski, Marcin Gahbler
doaj   +1 more source

Leveraging multimodal large language model for multimodal sequential recommendation

Scientific Reports
Multimodal large language models (MLLMs) have demonstrated remarkable superiority in various vision-language tasks due to their unparalleled cross-modal comprehension capabilities and extensive world knowledge, offering promising research paradigms to address the insufficient information exploitation in conventional multimodal recommendation systems ...
Wang, Zhaoliang, Liu, Baisong, Huang, Weiming, Hao, Tingting, Zhou, Huiqian, Guo, Yuxin   +5 more
openaire   +3 more sources

In Situ Formation of Ni‐P‐O‐C Interfaces in DLP‐Printed Carbon Microlattices for Efficient Alkaline Hydrogen Evolution

Advanced Materials Technologies, EarlyView.
Graphical abstract illustrating the fabrication of Ni–P–O–C porous carbon microlattice electrodes by DLP printing of Ni/P precursor‐containing resin followed by high‐temperature carbonization. The resulting conductive microlattice acts directly as the HER cathode in alkaline electrolyte, where in situ formed Ni–P–O–C interfaces provide active sites for
Muzahir Ali, Seongmin Lee, Tasadduq Hussain, Young Kyu Kim, Md. Ali Asgar, Jung Bin In, Seok‐min Kim   +6 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

When Multimodal Large Language Models Meet Computer Vision: Progressive GPT Fine-Tuning and Stress Testing

IEEE Access
The rapid evolution of Multimodal Large Language Models (LLMs) has redefined the landscape of artificial intelligence, with OpenAI’s GPT-4o representing a transformative leap in multimodal learning and processing.
Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos   +2 more
doaj   +1 more source

Towards multimodal graph large language model

Science China Information Sciences
Multi-modal graphs, which integrate diverse multi-modal features and relations, are ubiquitous in real-world applications. However, existing multi-modal graph learning methods are typically trained from scratch for specific graph data and tasks, failing to generalize across various multi-modal graph data and tasks.
Xin Wang 0019, Zeyang Zhang 0001, Linxin Xiao, Haibo Chen 0008, Chendi Ge, Wenwu Zhu 0001   +5 more
openaire   +4 more sources

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source