| 000 | 01369nab a22003257c 4500 | ||
|---|---|---|---|
| 999 |
_c5885 _d5885 |
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| 001 | 00005885 | ||
| 003 | ES-MaONT | ||
| 005 | 20211004062551.0 | ||
| 008 | 200406s2020 |||p| |||| 00| 0 eng d | ||
| 040 |
_c. _aES-MaONT |
||
| 245 | 0 | 0 |
_aMapping the Landscape of Artificial Intelligence Applications against COVID-19 _c/ Joseph Bullock ... [et al.] |
| 260 | _c2020 | ||
| 300 |
_a14 p.; _c1 documento PDF |
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| 336 |
_atexto (visual) _2isbdcontent |
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| 337 |
_aelectrónico _2isbdmedia |
||
| 338 |
_arecurso en línea _2rdacarrier |
||
| 504 | _aReferencias bibliográficas: p. 11-14 | ||
| 520 | _aIn this review, we present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence, to tackle many aspects of the COVID-19 crisis at different scales including molecular, medical and epidemiological applications. We finish with a discussion of promising future directions of research and the tools and resources needed to facilitate AI research. | ||
| 650 | 0 |
_94348 _aInteligencia Artificial |
|
| 650 | 0 |
_aSociedad digital _97 |
|
| 653 | _aCOVID-19 | ||
| 653 | _acomputers | ||
| 653 | _aAI | ||
| 653 | _aartificial intelligence | ||
| 653 | _amachine learning | ||
| 700 | 1 |
_aBullock, Joseph _94380 |
|
| 856 | 4 |
_uhttps://arxiv.org/pdf/2003.11336.pdf _x0 _yAcceso al documento _qpdf |
|
| 942 |
_2udc _cART |
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