Results 131 to 140 of about 16,504,576 (273)

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Multimodal Romanian language resources and tools: challenges and perspectives

Discover Data
In recent years, research into multimodal resources, models, and tools has seen significant advancements, primarily due to the development of deep artificial neural network architectures. Even though large foundation models exist for different multimodal
Maria Mitrofan, Elena Irimia, Vasile Păiş   +2 more
doaj   +1 more source

A Deep Hybrid Recommendation Method for Multimodal Information Integrating Content Generated by Large Language Models

Information
Item description information plays a crucial role in helping users understand the basic situation of an item and is also vital auxiliary information in recommendation systems.
Chao Duan, Wenlong Zhang, Zhongtao Yu, Senyao Li, Xuelian Wan, Qionghao Huang   +5 more
doaj   +1 more source

Jailbreaking Attack against Multimodal Large Language Model

CoRR
This paper focuses on jailbreaking attacks against multi-modal large language models (MLLMs), seeking to elicit MLLMs to generate objectionable responses to harmful user queries. A maximum likelihood-based algorithm is proposed to find an \emph{image Jailbreaking Prompt} (imgJP), enabling jailbreaks against MLLMs across multiple unseen prompts and ...
Zhenxing Niu, Haodong Ren, Xinbo Gao 0001, Gang Hua 0001, Rong Jin 0001   +4 more
openaire   +2 more sources

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

Advanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing, Yang Yang, Zichen Hong, Chunhui Tian, Huiyu Chu, Susanne Clara Prokop, Hongwei Cai, Mingxia Gu, Jason Tchieu, Ken Mackie, Feng Guo   +10 more
wiley   +1 more source

Applications of large‐scale artificial intelligence models in bioinformatics

Quantitative Biology
Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have
Mingjing Li, Qichen Shang, Ziyang Dong, Zhixuan You, Le Zhang, Ming Xiao   +5 more
doaj   +1 more source

Evaluating vision-capable chatbots in interpreting kinematics graphs: a comparative study of free and subscription-based models

Frontiers in Education
This study investigates the performance of eight large multimodal model (LMM)-based chatbots on the Test of Understanding Graphs in Kinematics (TUG-K), a research-based concept inventory. Graphs are a widely used representation in STEM and medical fields,
Giulia Polverini, Bor Gregorcic
doaj   +1 more source

Fingerprinting Multimodal Large Language Models

While multimodal large language models (MLLMs) enable a wide range of image-text reasoning tasks, recent incidents indicate that they are vulnerable to illicit deployment and unauthorized distillation. Existing solutions for model provenance are typically confounded by shared language backbones in MLLMs and struggle to detect violations of distillation.
Huang, Chao, Tong, Meng, Chen, Kejiang
openaire   +2 more sources

Improving Visual Storytelling with Multimodal Large Language Models

CoRR
Visual storytelling is an emerging field that combines images and narratives to create engaging and contextually rich stories. Despite its potential, generating coherent and emotionally resonant visual stories remains challenging due to the complexity of aligning visual and textual information.
Xiaochuan Lin, Xiangyong Chen
openaire   +3 more sources