Attention is all you need: utilizing attention in AI-enabled drug discovery

Y Zhang, C Liu, M Liu, T Liu, H Lin… - Briefings in …, 2024 - academic.oup.com
Recently, attention mechanism and derived models have gained significant traction in drug
development due to their outstanding performance and interpretability in handling complex …

Generative pre-trained transformer (GPT) in research: A systematic review on data augmentation

F Sufi - Information, 2024 - mdpi.com
GPT (Generative Pre-trained Transformer) represents advanced language models that have
significantly reshaped the academic writing landscape. These sophisticated language …

[HTML][HTML] The potential and concerns of using AI in scientific research: ChatGPT performance evaluation

ZN Khlaif, A Mousa, MK Hattab, J Itmazi… - JMIR Medical …, 2023 - mededu.jmir.org
Background Artificial intelligence (AI) has many applications in various aspects of our daily
life, including health, criminal, education, civil, business, and liability law. One aspect of AI …

Federated learning for generalization, robustness, fairness: A survey and benchmark

W Huang, M Ye, Z Shi, G Wan, H Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Federated learning has emerged as a promising paradigm for privacy-preserving
collaboration among different parties. Recently, with the popularity of federated learning, an …

Large language models for mobility in transportation systems: A survey on forecasting tasks

Z Zhang, Y Sun, Z Wang, Y Nie, X Ma, P Sun… - arxiv preprint arxiv …, 2024 - arxiv.org
Mobility analysis is a crucial element in the research area of transportation systems.
Forecasting traffic information offers a viable solution to address the conflict between …

Next gen cybersecurity paradigm towards artificial general intelligence: Russian market challenges and future global technological trends

E Pleshakova, A Osipov, S Gataullin, T Gataullin… - Journal of Computer …, 2024 - Springer
The growing distribution of large-language models (LLMs) shifts a cybersecurity paradigm.
Typical emergent abilities of LLMs, such as in-context learning, instruction following, and …

Unleashing the potential of conversational AI: Amplifying chat-GPT's capabilities and tackling technical hurdles

V Hassija, A Chakrabarti, A Singh, V Chamola… - Ieee …, 2023 - ieeexplore.ieee.org
Conversational AI has seen a growing interest among government, researchers, and
industrialists. This comprehensive survey paper provides an in-depth analysis of large …

A pilot study of measuring emotional response and perception of LLM-generated questionnaire and human-generated questionnaires

Z Zou, O Mubin, F Alnajjar, L Ali - Scientific reports, 2024 - nature.com
The advent of ChatGPT has sparked a heated debate surrounding natural language
processing technology and AI-powered chatbots, leading to extensive research and …

De novo antioxidant peptide design via machine learning and DFT studies

P Hesamzadeh, A Seif, K Mahmoudzadeh… - Scientific Reports, 2024 - nature.com
Antioxidant peptides (AOPs) are highly valued in food and pharmaceutical industries due to
their significant role in human function. This study introduces a novel approach to identifying …

Error correction and adaptation in conversational AI: A review of techniques and applications in chatbots

S Izadi, M Forouzanfar - Ai, 2024 - mdpi.com
This study explores the progress of chatbot technology, focusing on the aspect of error
correction to enhance these smart conversational tools. Chatbots, powered by artificial …