Results 141 to 150 of about 2,911,065 (235)

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Boosting Deep Feature Fusion-Based Detection Model for Fake Faces Generated by Generative Adversarial Networks for Consumer Space Environment

IEEE Access
In the consumer space, deep fakes refer to highly realistic, AI-generated images, audio, or videos that mimic real people generated by cutting-edge technologies such as Generative Adversarial Networks (GANs). In the digital age, recognizing and detecting
Fadwa Alrowais, Asma Abbas Hassan, Wafa Sulaiman Almukadi, Meshari H. Alanazi, Radwa Marzouk, Ahmed Mahmud   +5 more
doaj   +1 more source

Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation

Strategic Management Journal, EarlyView.
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi, Daniella Laureiro‐Martinez, Federico Magni, Stefano Brusoni   +3 more
wiley   +1 more source

Few-shot Hyperspectral Image Classification using Relational Generative Adversarial Network

Hyperspectral image (HSI) classification is an essential task in remote sensing, but its performance is greatly affected by limited labeled samples.
Guo, Baoqing, Xiao, Chuangbai, Zhou, Jun, Wei, Wei, Tong, Lei   +4 more
core   +1 more source

The impact of generative artificial intelligence on innovation: Evidence from software products

Strategic Management Journal, EarlyView.
Abstract Research Summary We study the impact of generative artificial intelligence (GAI) tools on product‐level innovation outcomes in the context of software products. Specifically, we illustrate how GAI can alter the direction of innovation by shifting the activities of developers away from generational innovation and toward original innovation ...
Erdem Doğukan Yılmaz, Tim Meyer
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

Software: Practice and Experience, EarlyView.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai, Ishika Goyal, Shubham Sharma, Sri Harshita Manuri, Vinay Chamola, Rajkumar Buyya   +5 more
wiley   +1 more source

Research Progress on Thermal Runaway and Thermal Management of Lithium‐Ion Batteries

Safety Science and Technology, EarlyView.
This review summarizes thermal runaway mechanisms, propagation pathways, mitigation strategies, and intelligent thermal management technologies for lithium‐ion batteries, highlighting the transition from passive heat dissipation to integrated safety regulation through advanced cooling, barrier materials, sensing, machine learning, and digital‐twin ...
Songrong Li, Wenjia Zhao, Yutong Zhang, Xianyong Wu, Zhongxue Chen   +4 more
wiley   +1 more source

A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley   +1 more source

Nanomedicine applications in lymphoma: Advancing precision diagnostics, targeted therapeutics, and prospective developments

VIEW, EarlyView.
Lymphoma is a group of blood cancers that can appear in lymph nodes, blood, bone marrow, spleen, liver, or the central nervous system, which makes drug delivery and disease monitoring difficult. This review summarizes how nanomedicine technologies may improve targeted treatment and imaging, while carefully separating approved or guideline‐supported ...
Mohd Ahmar Rauf, Yara Mashal, Afeefa Rao, Nasar Ata, Arun K. Iyer, Farhan Shah   +5 more
wiley   +1 more source