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Internet of instruments: Connectivity of research instruments and artificial intelligence could drastically advance experimental science

Philip Hunter
2018 EMBO Reports  
It also contributes to cost reduction by informing researchers of equipment left on so that it can be turned off remotely.  ...  "We can also use this data to record energy use and better understand how energy is used in laboratories", Gilly added.  ... 
doi:10.15252/embr.201847267 pmid:30404816 pmcid:PMC6280644 fatcat:7gu4peunfbeqnphrhnvzfhxcr4

GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data

Roberto Pierdicca, Marina Paolanti
2022 Geoscientific Instrumentation, Methods and Data Systems  
For the processing of geomatics data, AI offers overwhelming opportunities. Fundamental questions include how AI can be specifically applied to or must be specifically created for geomatics data.  ...  The integration of AI approaches in geomatics has developed into the concept of geospatial artificial intelligence (GeoAI), which is a new paradigm for geographic knowledge discovery and beyond.  ...  be discovered.  ... 
doi:10.5194/gi-11-195-2022 fatcat:yi7hgksvvvc33dnydqnvm4bj3m

Al-terity: Non-Rigid Musical Instrument with Artificial Intelligence Applied to Real-Time Audio Synthesis

Koray Tahiroǧlu, Miranda Kastemaa, Oskar Koli
2020 Proceedings of the International Conference on New Interfaces for Musical Expression  
The main benefits of the model used are the ability to produce the realistic range of timbre of the trained data set and the ability to generate new audio samples in real-time, in the moment of playing  ...  The particular deep learning model we use for this instrument was trained with existing data set as input for purposes of further experimentation.  ...  Figure 5 shows the Pure Data patch in which we integrated GANSynth module into Pure Data environment.  ... 
doi:10.5281/zenodo.4813402 fatcat:ki5cybay6bbdnorqmk2mzffqmq

Coding Instrumental Gestures. Towards a quantitative description of instrumental gestures in excitation-continuous musical instruments

Esteban Maestre, Xavier Serra
2006 Zenodo  
Instrumental gestures are understood here as the actions applied by a musician to produce the sound conveying the musical message contained in the piece or composition being performed.  ...  , we propose some approaches for describing quantitatively instrumental gestures as temporal contours of variables belonging to both the sound domain and the physical action domain, with the final aim  ...  Discovering typologies at this level from real performance data is also to be considered.  ... 
doi:10.5281/zenodo.3743137 fatcat:3hzeomxdz5fmhlybxq5kir5wby

Intelligent information extraction to aid science decision making in autonomous space exploration

Erzsébet Merényi, Kadim Tasdemir, William H. Farrand, Wolfgang Fink
2008 Space Exploration Technologies  
The farther mankind ventures into space, the longer the delay in communication, due to which interesting findings from data sent back to Earth are made too late to command a (roving, floating, or orbiting  ...  For high-dimensional data with complicated structure, detailed segmentation that identifies all significant groups and discovers the small, surprising anomalies in the data, is a challenging task at which  ...  Partial support by the Applied Information Systems Research Program (grant NNG05GA94G) and Mars Data Analysis Program (grant NAG5-13294) of NASA's Science Mission Directorate is greatly appreciated.  ... 
doi:10.1117/12.782248 fatcat:kn6cxuovi5gptln3xaz3tw7n3y

Artificial Intelligence and Its Applications

Yudong Zhang, Saeed Balochian, Praveen Agarwal, Vishal Bhatnagar, Orwa Jaber Housheya
2014 Mathematical Problems in Engineering  
How to apply a classifier trained on acted data to naturalistic data, such as elicited data, remains a major challenge in today's speech emotion recognition system.  ...  Artificial intelligence (AI) has revolutionized information technology. The new economy of information technology has shaped the way we are living.  ...  Acknowledgments We would like to express our gratitude to all of the authors for their contributions and the reviewers for their effort providing constructive comments and feedback.  ... 
doi:10.1155/2014/840491 fatcat:alknl2oy4faobn5cmcewgdroe4

Review: Application of Artificial Intelligence in Phenomics

Shona Nabwire, Hyun-Kwon Suh, Moon S. Kim, Insuck Baek, Byoung-Kwan Cho
2021 Sensors  
It provides an overview of current phenotyping technologies and the ongoing integration of artificial intelligence into plant phenotyping.  ...  Notably, the computer vision, machine learning, and deep learning aspects of artificial intelligence have been successfully integrated into non-invasive imaging techniques.  ...  Phenomic data management therefore involves three critical components where artificial intelligence is applied: algorithms and programs to convert the sensory data into phenotypic information; model development  ... 
doi:10.3390/s21134363 pmid:34202291 fatcat:erol3zndfjhjpoq4oqs5s5k7qq

Combining instrument and performance models for high‐quality music synthesis

Roger B. Dannenberg, Istvan Derenyi
1998 Journal of New Music Research  
To address these problems, we present an approach to music synthesis that relies on a performance model to generate musical control signals and an instrument model to generate appropriate time-varying  ...  Convincing synthesis of wind instruments requires more than the reproduction of individual tones.  ...  Marie-Helen Serra, Dean Rubine, Paul McAvinney, Chris Fraley, and Hank Pelerin all contributed to the research and development of Spectral Interpolation Synthesis.  ... 
doi:10.1080/09298219808570747 fatcat:pojfiiybljej5hjttjd37wflee

Music Genre Classification System - Machine Learning and Artificial Intelligence

Sangpo Lama
How open are you to listening new music?  ...  ActivityTrying to login into system with password.Test case No. 3 DescriptionPurpose To test whether right information get access to login into a system Activity Connecting with correct username and passwordFigure  ... 
doi:10.6084/m9.figshare.13298408.v1 fatcat:exsabqyr5vge7dx3ehwvccia44

The future of geospatial intelligence

Juergen Dold, Jessica Groopman
2017 Geo-spatial Information Science  
Big data place new restraints on economics, as pressures abound to actually use these data, both in real-time and for longer term strategic analysis and decision-making.  ...  These challenges require orchestration between information technology (IT) and operational technology (OT) and synchronization of diverse systems, data-sets, devices, environments, workflows, and people  ...  Groopman is a principal analyst with Tractica where she covers artificial intelligence and blockchain.  ... 
doi:10.1080/10095020.2017.1337318 fatcat:dowgvu34gbecllhxevlhnmwq4a

Combining Musical And Cultural Features For Intelligent Style Detection

Brian Whitman, Paris Smaragdis
2002 Zenodo  
Approaches that perform genre classification in the audio domain use a combination of spectral features and musically-informed inferred features.  ...  to do with how we perceive and attach preference to it.  ...  in advance how to understand varying types of artist relationships could benefit many music retrieval systems that attempt to inject commodity intelligence into the L&R process.  ... 
doi:10.5281/zenodo.1417471 fatcat:xe67kk7xnbez7o7r55lcifhkza

The Search for Extraterrestrial Intelligence (SETI)

Jill Tarter
2001 Annual Review of Astronomy and Astrophysics  
SETI results to date are negative, but in reality, not much searching has yet been done.  ...  A decision tree of possible search strategies is presented as well as a brief history of the search for extraterrestrial intelligence (SETI) projects since 1960.  ...  This also allows for dissemination of information about how much has been done relative to how much might reasonably need to be done.  ... 
doi:10.1146/annurev.astro.39.1.511 fatcat:o2aisfuodzdhfcs6f7acelsyru

Artificial intelligence: an empirical science

Herbert A. Simon
1995 Artificial Intelligence  
My initial tasks in this paper are, first, to delimit the boundaries of artificial intelligence, then, to justify calling it a science: is AI science, or is it engineering, or some combination of these  ...  I will rely more on history than on speculation, for our actual experience in advancing the field has much to tell us about how we can continue and accelerate that advance.  ...  bolometers were extended into that spectral range.  ... 
doi:10.1016/0004-3702(95)00039-h fatcat:twmgfssdwnfyhlfujkeiyj4e2u

Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence

Theodore Alexandrov
2020 Annual Review of Biomedical Data Science  
At the same time, these advances have coincided with a rapid evolution in machine learning, deep learning, and artificial intelligence, which are transforming our everyday life and promise to revolutionize  ...  convergence of human and artificial intelligence.  ...  For an experimental viewpoint and how unsupervised analysis fits into a complete data analysis pipeline, see Reference 13.  ... 
doi:10.1146/annurev-biodatasci-011420-031537 pmid:34056560 pmcid:PMC7610844 fatcat:2vtqs4cwandofnrrnk77po4h7u

Achieving Satellite Instrument Calibration for Climate Change

George Ohring, Joe Tansock, William Emery, James Butler, Lawrence Flynn, Fuzhong Weng, Karen St. Germain, Bruce Wielicki, Changyong Cao, Mitchell Goldberg, Jack Xiong, Gerald Fraser (+12 others)
2007 EOS  
Chapter 3 Authors Acknowledgements We would like to thank Dr. Jerry Sullivan for his careful and detailed review of the manuscript. His comments were always on the mark.  ...  Wise, informed decisions on how to prepare for, and respond to, climate change demand quantitative specifi cs that can be relied upon.  ...  Independent analysis allows them to be discovered because two independent teams will make different coding errors. It also allows many algorithm errors to be discovered.  ... 
doi:10.1029/2007eo110015 fatcat:n2nhhks3fbbklbxwrvso3eeqaq
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