Results 121 to 130 of about 78,546 (297)

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

A Hybrid Intelligence Approach for Circulating Tumor Cell Enumeration in Digital Pathology by Using CNN and Weak Annotations. [PDF]

IEEE Access, 2023
Tong L, Wan Y.
europepmc   +1 more source

Steric Coordination Modulated Iodine Chemistry With Four‐Electron Conversion for Zinc‐Iodine Batteries

Advanced Materials, EarlyView.
A dual‐additive electrolyte strategy is developed to address the hydrolysis of I+ in the aqueous electrolytes. The steric‐hindrance effect of TES− effectively shields I+ from nucleophilic attacks by hydroxyl groups, facilitating the reversible I−/I0/I+ conversion with four‐electron transfer.
Shuai Wang, Haoran Wang, Yujue Yang, Yuanyuan Gao, Yaopeng Wu, Junze Zhang, Jingxin Zhao, Yuejiao Chen, Bingang Xu   +8 more
wiley   +1 more source

Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review

, 2021
Hybrid Intelligence is an emerging concept that emphasizes the complementary nature of human intelligence and artificial intelligence (AI). One key requirement for collaboration between humans and AI is the interpretability of the decisions provided by ...
Kühl, Niklas, Schemmer, Max, Vössing, Michael, Hemmer, Patrick   +3 more
core   +1 more source

Machine learning for post-diploma educational and career guidance: a scoping review in AI-driven decision support systems

Frontiers in Education
The increasing complexity of career decision-making, shaped by rapid technological advancements and evolving job markets, highlights the need for more responsive and data-informed post-diploma guidance.
Flavio Manganello, Elisa Rasca, Alberto Villa, Andrea Maddalena, Giannangelo Boccuzzi   +4 more
doaj   +1 more source

Tackling Multi-Physics Nano-Scale Phenomena in Capillary Force Lithography with Small Data by Hybrid Intelligence. [PDF]

Micromachines (Basel), 2023
Chapagain A, Cho IH.
europepmc   +1 more source

Intimate Interaction Between Nucleic Acid and Conjugated Polymers in Organic Electrochemical Transistors Enables Ultrasensitive Biomarker Detection

Advanced Materials, EarlyView.
The intimate interaction between negatively charged RNA molecules and conjugated polymers in organic electrochemical transistors (OECTs) in aqueous electrolytes is investigated. It demonstrates that RNA binding reduces the volumetric capacitance of the polymer channel, enabling the development of an ultrasensitive biosensing platform capable of ...
Hong Liu, Naixiang Wang, Anneng Yang, Jiajun Song, Li Li, Iain McCulloch, Helen Ka‐wai Law, Feng Yan   +7 more
wiley   +1 more source

Authorship and Accountability Standards for Hybrid Intelligence Publications

This position paper introduces the Authorship and Accountability Standards for Hybrid Intelligence, a groundbreaking framework designed to recognize AI as a legitimate co-creator in academic and professional work.
ERI-IRFOS (Earth Refocus Institute - Interdisciplinary Research Facility for Open Sciences)
core   +1 more source

Enhanced Meta-IDS: Adaptive multi-stage IDS with sequential model adjustments

High-Confidence Computing
Traditional single-machine Network Intrusion Detection Systems (NIDS) are increasingly challenged by rapid network traffic growth and the complexities of advanced neural network methodologies.
Nadia Niknami, Vahid Mahzoon, Slobadan Vucetic, Jie Wu   +3 more
doaj   +1 more source

Advancing Concrete Mix Proportion through Hybrid Intelligence: A Multi-Objective Optimization Approach. [PDF]

Materials (Basel), 2023
Chen F, Xu W, Wen Q, Zhang G, Xu L, Fan D, Yu R.   +6 more
europepmc   +1 more source