Results 111 to 120 of about 834,303 (333)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Application research on network security operation automation practice based on RPA technology

open access: yesDianxin kexue
The research focuses on the entire lifecycle of networks and information systems, aiming at the full-process scenarios of cybersecurity operations. It establishes a capability framework based on robotic process automation (RPA) technology and adaptive ...
ZHOU Ying
doaj   +2 more sources

Analysis of software defined security model and architecture

open access: yesDianxin kexue, 2017
Currently,most enterprises have deployed information security defense system based on policy access control.With cloud computing environment deployment and network attacking technology development,security has been regarded as one of the greatest ...
Chunmei GUO   +6 more
doaj   +2 more sources

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

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