Results 191 to 200 of about 63,655 (291)

Human-AI Collaboration in Cybersecurity Decision-making: A Systematic Review of Literature

: Artificial intelligence has become an important tool in cybersecurity decision-making, but there are arguments about balancing it with human cognition.
Adeyemi, Dahunsi Samuel
core  

Advancing lacquerware design through human-AI collaboration with controllable diffusion models. [PDF]

Sci Rep
Liang J, Li Y, Xiong Z, Huang Q.
europepmc   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

A foundation model for human-AI collaboration in medical literature mining. [PDF]

Nat Commun
Wang Z, Cao L, Jin Q, Chan J, Wan N, Afzali B, Cho HJ, Choi CI, Emamverdi M, Gill MK, Kim SH, Li Y, Liu Y, Luo Y, Ong H, Rousseau JF, Sheikh I, Wei JJ, Xu Z, Zallek CM, Kim K, Peng Y, Lu Z, Sun J.   +23 more
europepmc   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Classifying Documents with Human-AI-Collaboration: Introducing the Human-AI Collaboration in Classification Utility Framework

This paper introduces a new supervised learning framework for text classification, the 'Human-AI Collaboration in Classification Utility' (HAICCU). HAICCU minimizes the amount of manual labor while ensuring high data quality.
Martin Gross, Sebastian Block, Jan Velimsky, Morten Harmening, Dominic Nyhuis   +4 more
core  

A vision of human-AI collaboration for enhanced biological collection curation and research. [PDF]

Bioscience
Stenhouse A, Fisher N, Lepschi B, Schmidt-Lebuhn A, Rodriguez J, Turco F, Reeson A, Paris C, Thrall PH.   +8 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source