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 …

Everything is connected: Graph neural networks

P Veličković - Current Opinion in Structural Biology, 2023 - Elsevier
In many ways, graphs are the main modality of data we receive from nature. This is due to
the fact that most of the patterns we see, both in natural and artificial systems, are elegantly …

Mathematical capabilities of chatgpt

S Frieder, L Pinchetti, RR Griffiths… - Advances in neural …, 2024 - proceedings.neurips.cc
We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-
January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available …

[HTML][HTML] On scientific understanding with artificial intelligence

M Krenn, R Pollice, SY Guo, M Aldeghi… - Nature Reviews …, 2022 - nature.com
An oracle that correctly predicts the outcome of every particle physics experiment, the
products of every possible chemical reaction or the function of every protein would …

Artificial intelligence and illusions of understanding in scientific research

L Messeri, MJ Crockett - Nature, 2024 - nature.com
Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might
improve research. Why are AI tools so attractive and what are the risks of implementing them …

Generative artificial intelligence: Trends and prospects

M Jovanovic, M Campbell - Computer, 2022 - computer.org
Generative Artificial Intelligence: Trends and Prospects Toggle navigation IEEE Computer Society
Digital Library Jobs Tech News Resource Center Press Room Advertising About Us IEEE IEEE …

Combinatorial optimization and reasoning with graph neural networks

Q Cappart, D Chételat, EB Khalil, A Lodi… - Journal of Machine …, 2023 - jmlr.org
Combinatorial optimization is a well-established area in operations research and computer
science. Until recently, its methods have focused on solving problem instances in isolation …

Symbols and mental programs: a hypothesis about human singularity

S Dehaene, F Al Roumi, Y Lakretz, S Planton… - Trends in Cognitive …, 2022 - cell.com
Natural language is often seen as the single factor that explains the cognitive singularity of
the human species. Instead, we propose that humans possess multiple internal languages …

The clock and the pizza: Two stories in mechanistic explanation of neural networks

Z Zhong, Z Liu, M Tegmark… - Advances in Neural …, 2024 - proceedings.neurips.cc
Do neural networks, trained on well-understood algorithmic tasks, reliably rediscover known
algorithms? Several recent studies, on tasks ranging from group operations to in-context …

Machine learning and deep learning—A review for ecologists

M Pichler, F Hartig - Methods in Ecology and Evolution, 2023 - Wiley Online Library
The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …