Scientific discovery in the age of artificial intelligence

H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu… - Nature, 2023 - nature.com
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, helping scientists to generate hypotheses, design experiments …

[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities

O Ali, W Abdelbaki, A Shrestha, E Elbasi… - Journal of Innovation & …, 2023 - Elsevier
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …

Machine learning for electrocatalyst and photocatalyst design and discovery

H Mai, TC Le, D Chen, DA Winkler… - Chemical …, 2022 - ACS Publications
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …

[HTML][HTML] Deep learning, reinforcement learning, and world models

Y Matsuo, Y LeCun, M Sahani, D Precup, D Silver… - Neural Networks, 2022 - Elsevier
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of
indispensable factors to achieve human-level or super-human AI systems. On the other …

Deep-learning seismology

SM Mousavi, GC Beroza - Science, 2022 - science.org
Seismic waves from earthquakes and other sources are used to infer the structure and
properties of Earth's interior. The availability of large-scale seismic datasets and the …

Toward the third generation artificial intelligence

B Zhang, J Zhu, H Su - Science China Information Sciences, 2023 - Springer
There have been two competing paradigms in artificial intelligence (AI) development ever
since its birth in 1956, ie, symbolism and connectionism (or sub-symbolism). While …

Causal inference for time series

J Runge, A Gerhardus, G Varando, V Eyring… - Nature Reviews Earth & …, 2023 - nature.com
Many research questions in Earth and environmental sciences are inherently causal,
requiring robust analyses to establish whether and how changes in one variable cause …

Predictive models for concrete properties using machine learning and deep learning approaches: A review

MM Moein, A Saradar, K Rahmati… - Journal of Building …, 2023 - Elsevier
Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …

Study on artificial intelligence: The state of the art and future prospects

C Zhang, Y Lu - Journal of Industrial Information Integration, 2021 - Elsevier
In the world, the technological and industrial revolution is accelerating by the widespread
application of new generation information and communication technologies, such as AI, IoT …

Aligning artificial intelligence with climate change mitigation

LH Kaack, PL Donti, E Strubell, G Kamiya… - Nature Climate …, 2022 - nature.com
There is great interest in how the growth of artificial intelligence and machine learning may
affect global GHG emissions. However, such emissions impacts remain uncertain, owing in …