Results 101 to 110 of about 78,546 (297)

A Systematic Literature Review on System Dynamics

IEEE Access
System Dynamics is a methodology for modeling and simulating dynamically complex systems, which are characterized by feedback loops, nonlinearity, and time delays.
Justin Hoffmann, Christopher Mai, Bo Hu, Ricardo Buettner   +3 more
doaj   +1 more source

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

Revitalizing image dehazing in the real world: A high-quality dataset and a customized method

Computational Visual Media
Existing dehazing methods face challenges in generalization due to the lack of paired real-world training data and tailored models. Recently, some semi-supervised/unsupervised schemes have been explored, achieving impressive performance.
Yong Liu, Qingji Dong, Chao Zhu, Yu Guo, Fei Wang   +4 more
doaj   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

THE ROLE OF NARRATIVE RESPONSIBILITY WITHIN HYBRID INTELLIGENCE

This paper examines the emerging concept of hybrid intelligence, the collaboration between humans and AI, and its growing importance in sensemaking processes across diverse organizational contexts.
Chowdhury, Avijit, Ademaj, Gemza, Keller, Christina, Sarker, Saonee   +3 more
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data

IEEE Access
Over 300 million people worldwide are affected by depression, with symptoms that have a major impact on patients and, in the worst cases, can lead to suicide. As the severity of the disease increases over time, early detection can save a patient’s
Pascal Penava, Ricardo Buettner
doaj   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Hybrid Intelligence through Business Socialization and Networking

, 2012
Managing industrial complexities and inherent risks in the modern economic climate has become quite a challenging task for more sectors than ever before.
Jayantha P. Liyanage
core   +1 more source

A Systematic Literature Review of Prompt Injection Attacks in LLM-Integrated Systems

IEEE Access
Prompt injection exploits a fundamental property of large language models: the inability to distinguish trusted instructions from untrusted content when both are processed as natural language tokens. As these models are integrated into tool-augmented and
Christian Woesle, Ricardo Buettner
doaj   +1 more source