Results 51 to 60 of about 140,943 (211)

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Graduate Catalog, 1982-1983 [PDF]

, 1982
https://scholar.valpo.edu/gradcatalogs/1011/thumbnail ...
Valparaiso University
core   +2 more sources

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Science by Conceptual Analysis: The Genius of the Late Scholastics [PDF]

, 2012
The late scholastics, from the fourteenth to the seventeenth centuries, contributed to many fields of knowledge other than philosophy. They developed a method of conceptual analysis that was very productive in those disciplines in which theory is ...
Franklin, James
core   +1 more source

Philosophy Enters the Optics Laboratory: Bell's Theorem and its First Experimental Tests (1965-1982)

, 2005
This paper deals with the ways that the issue of completing quantum mechanics was brought into laboratories and became a topic in mainstream quantum optics.
Aczel, Aspect, Aspect, Aspect, Aspect, Aspect, Aspect, Aspect, Ballentine, Belinfante, Bell, Bell, Bell, Bell, Bell, Bell, Bell, Bell, Bell, Bell, Bell, Bernstein, Blumenthal, Bohm, Bohm, Bohm, Bohm, Bohm, Bromberg, Brush, Clark, Clauser, Clauser, Clauser, Clauser, Clauser, Clauser, Clauser, Clauser, Clauser, Clauser, Clauser, Clauser, Cohen-Tannoudji, Eberhard, Einstein, Everett III, Faraci, Feynman, Freedman, Freedman, Freire, Freire, Freitas, Fry, Fry, Galison, Ghirardi, Gleason, Gottfried, Greenberger, Harvey, Harvey, Heisenberg, Holt, Holt, Holt, Horne, Horne, Horne, Horne, Jackiw, Jammer, Jauch, Kasday, Kasday, Kevles, Kocher, Lamehi-Rachti, Lochak, Lochak, Marshall, McGuire, Nussbaum, Olival Freire, Page, Pais, Papaliolios, Paty, Pauli, Pinch, Pipkin, Podlubny, Rosenfeld, Sachs, Schawlow, Shimony, Shimony, Shimony, Shimony, Shimony, Shimony, Stapp, Stone, Stöltzner, Whitaker, Wick, Wigner, Wigner, Wilson   +109 more
core   +1 more source

MusicSwarm: Biologically Inspired Intelligence for Music Composition

Advanced Intelligent Systems, EarlyView.
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley   +1 more source

Profiling a decade of information systems frontiers’ research [PDF]

, 2008
This article analyses the first ten years of research published in the Information Systems Frontiers (ISF) from 1999 to 2008. The analysis of the published material includes examining variables such as most productive authors, citation analysis ...
A. Adam, A. P. Sage, Banita Lal, C. Chen, C. Chen, C.-N. Ziegler, D. Avison, D. Bell, D. Bunker, D. G. Gregg, E. A. Stohr, E. Claver, F. Casati, F. D. Davis, F. D. Davis, G. B. Davis, H. Barki, H. Klaus, J. E. Berg, J. W. Ross, K. J. Arrow, K. J. Arrow, L. A. Freeman, M. J. Shaw, Michael D. Williams, Navonil Mustafee, P. Gray, P. J. Dobson, P. Palvia, R. Clarke, R. Ramesh, W. S. Chen, Y. K. Dwivedi, Y. K. Dwivedi, Y. Wang, Yogesh K. Dwivedi   +35 more
core   +1 more source

Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates

Advanced Intelligent Systems, EarlyView.
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin, Rudolf M. Füchslin, Achille Giacometti, Helmut Hauser, Marco Werner   +4 more
wiley   +1 more source

Graduate Catalog, 1983-1984 & 1984-1985 [PDF]

, 1983
https://scholar.valpo.edu/gradcatalogs/1012/thumbnail ...
Valparaiso University
core   +1 more source

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

AI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source