Results 141 to 150 of about 96,015 (310)
Picture Rocks multimodal transportation study [PDF]
, 2014 The result of an application to the Arizona Department of Transportation Planning Assistance for Rural Areas (PARA) Program to conduct a multimodal transportation study to address transportation issues in the community.
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Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
, 2012 Orchestrating multimodal resources – Pupils’ interaction and meaning making in a digital primary school context. Today the number of computers has generally increased in Swedish schools and digital technologies are more and more implemented in daily ...
Öman, Anne,
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Advanced Science, EarlyView.Integrated single‐cell mass spectrometry reveals distinct lipidomic signatures that differentiate leader and follower phenotypes in migratory breast cancer cells. Phenotype‐specific alterations across various lipid classes, including fatty acids and phosphatidylcholines, underpin functional heterogeneity.
Xiaoyue Huang +6 more
wiley +1 more source
Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift
Multimodal image-text models have shown remarkable performance in the past few years. However, evaluating robustness against distribution shifts is crucial before adopting them in real-world applications. In this work, we investigate the robustness of 12
Li, Bo +7 more
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Advanced Science, EarlyView.This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Wings: Learning Multimodal LLMs without Text-only Forgetting
Multimodal large language models (MLLMs), initiated with a trained LLM, first align images with text and then fine-tune on multimodal mixed inputs. However, the MLLM catastrophically forgets the text-only instructions, which do not include images and can
Luo, Weihua +9 more
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Multimodal Humor Detection and Social Perception Prediction
Publisher Copyright: © 2024 Copyright held by the owner/author(s).The parallel audio-visual-text data contains vast amount of information. Thus it is essential to develop machine learning algorithms that can utilise them efficiently.
Grósz, Tamás +5 more
core +1 more source
Advanced Science, EarlyView.STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source