Results 171 to 180 of about 726,143 (311)

Evaluation of a text-mining application for the rapid analysis of free-text wildlife necropsy reports. [PDF]

open access: yesPLoS One
Saverimuttu S   +8 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu   +7 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

Differentiating between data-mining and text-mining terminology

open access: yesSouth African Journal of Information Management, 2004
J.H. Kroeze, M.C. Matthee, T.J.D. Bothma
doaj   +1 more source

Text mining and machine learning reveal global determinants of food insecurity. [PDF]

open access: yesSci Rep
Carneiro B   +9 more
europepmc   +1 more source

Automatic Standardization of Spelling for Historical Text Mining [PDF]

open access: gold, 2009
Alistair Baron, Paul Rayson, Dawn Archer
openalex  

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

open access: yesAdvanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher   +4 more
wiley   +1 more source

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