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@article{2253679,
author = {Holzinger, Andreas and Keiblinger, Katharina and Holub, Petr and Zatloukal, Kurt and Müller, Heimo},
article_location = {NETHERLANDS},
article_number = {1},
doi = {http://dx.doi.org/10.1016/j.nbt.2023.02.001},
keywords = {AI; biotechology; explainable artificial intelligence; XAI; life sciences; provenance},
language = {eng},
issn = {1871-6784},
journal = {NEW BIOTECHNOLOGY},
title = {AI for Life: Trends in Artificial Intelligence for Biotechnology},
url = {https://www.sciencedirect.com/science/article/pii/S1871678423000031?via%3Dihub},
volume = {74},
year = {2023}
}
TY - JOUR
ID - 2253679
AU - Holzinger, Andreas - Keiblinger, Katharina - Holub, Petr - Zatloukal, Kurt - Müller, Heimo
PY - 2023
TI - AI for Life: Trends in Artificial Intelligence for Biotechnology
JF - NEW BIOTECHNOLOGY
VL - 74
IS - 1
SP - 16-24
EP - 16-24
PB - ELSEVIER
SN - 18716784
KW - AI
KW - biotechology
KW - explainable artificial intelligence
KW - XAI
KW - life sciences
KW - provenance
UR - https://www.sciencedirect.com/science/article/pii/S1871678423000031?via%3Dihub
N2 - Due to popular successes (e.g., ChatGPT) Artificial Intelligence (AI) is on everyone's lips today. When advances in biotechnology are combined with advances in AI unprecedented new potential solutions become available. This can help with many global problems and contribute to important Sustainability Development Goals. Current examples include Food Security, Health and Well-being, Clean Water, Clean Energy, Responsible Consumption and Production, Climate Action, Life below Water, or protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss. AI is ubiquitous in the life sciences today. Topics include a wide range from machine learning and Big Data analytics, knowledge discovery and data mining, biomedical ontologies, knowledge-based reasoning, natural language processing, decision support and reasoning under uncertainty, temporal and spatial representation and inference, and methodological aspects of explainable AI (XAI) with applications of biotechnology. In this pre-Editorial paper, we provide an overview of open research issues and challenges for each of the topics addressed in this special issue. Potential authors can directly use this as a guideline for developing their paper.
ER -
HOLZINGER, Andreas, Katharina KEIBLINGER, Petr HOLUB, Kurt ZATLOUKAL a Heimo MÜLLER. AI for Life: Trends in Artificial Intelligence for Biotechnology. \textit{NEW BIOTECHNOLOGY}. NETHERLANDS: ELSEVIER, 2023, roč.~74, č.~1, s.~16-24. ISSN~1871-6784. Dostupné z: https://dx.doi.org/10.1016/j.nbt.2023.02.001.
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