Artificial Intelligence for Trusted Autonomous Satellite Operations

Thangavel, Kathiravan; Sabatini, Roberto; Gardi, Alessandro; Ranasinghe, Kavindu; Hilton, Samuel; Servidia, Pablo; Spiller, Dario

doi:10.1016/j.paerosci.2023.100960

Cited by 11 publications

(1 citation statement)

References 134 publications

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“…(Akour et al, 2024), and language (Singh and Khatun, 2024) with similar success. In its current form, narrow AI, also known as weak AI, is designed for specialized tasks such as web search, face and voice recognition, and self-examination (Thangavel et al, 2024). Ultimately, the AI community wants to develop machines capable of performing all cognitive tasks better than humans, which would lead to the development of a strong or general AI.…”

Section: Key Technologies In Ai-driven Drug Discoverymentioning

confidence: 99%

The recent advances in the approach of artificial intelligence (AI) towards drug discovery

Khan,

Raza,

Shahbaz

et al. 2024

Front. Chem.

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Artificial intelligence (AI) has recently emerged as a unique developmental influence that is playing an important role in the development of medicine. The AI medium is showing the potential in unprecedented advancements in truth and efficiency. The intersection of AI has the potential to revolutionize drug discovery. However, AI also has limitations and experts should be aware of these data access and ethical issues. The use of AI techniques for drug discovery applications has increased considerably over the past few years, including combinatorial QSAR and QSPR, virtual screening, and denovo drug design. The purpose of this survey is to give a general overview of drug discovery based on artificial intelligence, and associated applications. We also highlighted the gaps present in the traditional method for drug designing. In addition, potential strategies and approaches to overcome current challenges are discussed to address the constraints of AI within this field. We hope that this survey plays a comprehensive role in understanding the potential of AI in drug discovery.

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Section: Key Technologies In Ai-driven Drug Discoverymentioning

confidence: 99%