Results 31 to 40 of about 293,924 (328)

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Enumeration of Extractive Oracle Summaries

, 2017
To analyze the limitations and the future directions of the extractive summarization paradigm, this paper proposes an Integer Linear Programming (ILP) formulation to obtain extractive oracle summaries in terms of ROUGE-N.
Hirao, Tsutomu, Nagata, Masaaki, Nishino, Masaaki, Suzuki, Jun   +3 more
core   +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

Oracle selection provides insight into how far off practice is from Utopia in plant breeding

Frontiers in Plant Science, 2023
Since the introduction of genomic selection in plant breeding, high genetic gains have been realized in different plant breeding programs. Various methods based on genomic estimated breeding values (GEBVs) for selecting parental lines that maximize the ...
David Vanavermaete, Steven Maenhout, Jan Fostier, Bernard De Baets   +3 more
doaj   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Contraceptive access and use of long-acting reversible contraceptives during the COVID-19 pandemic and beyond

Women's Health
Background: Changes in access to healthcare services during the COVID-19 pandemic may have impacted individuals’ access to contraceptive care, including long-acting reversible contraceptives (LARCs), which require ⩾1 visit for insertion and/or removal ...
Simone Crespi, M. Janelle Cambron-Mellott, Candice Yong, Bridget L. Balkaran   +3 more
doaj   +1 more source

Dynamic Ensemble Algorithm Post-Selection Using Hardness-Aware Oracle

IEEE Access, 2023
Dynamic Ensemble Selection (DES) algorithms have obtained better performance in many tasks compared to monolithic classifiers and static ensembles. However, it is reasonable to assume that no DES algorithm is the optimal solution in different scenarios ...
Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz   +2 more
doaj   +1 more source

Experimental Demonstration of Radio‐Frequency Hong‐Ou‐Mandel Interference With Emulated Single‐Photon States

Advanced Physics Research, EarlyView.
We report an experimental demonstration of room‐temperature Hong–Ou–Mandel interference at a radio‐wave frequency of 120 MHz using emulated single‐photon states conditionally built from classical phase‐averaged coherent states. Our technique and results open the door to realizing quantum protocols in frequency ranges where standard quantum technologies
A. Sheleg, D. Vovchuk, K. Boiko, P. Ginzburg, G. Slepyan, A. Boag, A. Mikhalychev, A. Ulyanenkov, T. Salgals, D. Mogilevtsev   +9 more
wiley   +1 more source

Rapid End-to-End Test Generation and Hallucination Mitigation Using Generative Artificial Intelligence

IEEE Access
End-to-end testing of distributed systems remains constrained by rapidly evolving architectures and maintenance requirements. Previous template-based solutions required months of engineering effort and lacked scalability owing to Document Object Model ...
Charles Barathidass, Karthik Namburu
doaj   +1 more source

Development and Evaluation of the Oracle Intelligent Tutoring System (OITS) [PDF]

, 2017
This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming.
Abu Naser, Samy S., Aldahdooh, Rami
core