Artificial intelligence: A powerful paradigm for scientific research

Y Xu, X Liu, X Cao, C Huang, E Liu, S Qian, X Liu… - The Innovation, 2021 - cell.com
Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …

Controllable protein design with language models

N Ferruz, B Höcker - Nature Machine Intelligence, 2022 - nature.com
The twenty-first century is presenting humankind with unprecedented environmental and
medical challenges. The ability to design novel proteins tailored for specific purposes would …

A categorical archive of chatgpt failures

A Borji - arXiv preprint arXiv:2302.03494, 2023 - arxiv.org
Large language models have been demonstrated to be valuable in different fields. ChatGPT,
developed by OpenAI, has been trained using massive amounts of data and simulates …

Training spiking neural networks using lessons from deep learning

JK Eshraghian, M Ward, EO Neftci… - Proceedings of the …, 2023 - ieeexplore.ieee.org
The brain is the perfect place to look for inspiration to develop more efficient neural
networks. The inner workings of our synapses and neurons provide a glimpse at what the …

The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations

J Cowls, A Tsamados, M Taddeo, L Floridi - Ai & Society, 2023 - Springer
In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to
combat global climate change. We identify two crucial opportunities that AI offers in this …

A systematic review of Green AI

R Verdecchia, J Sallou, L Cruz - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
With the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon
footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to …

Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures

T Yigitcanlar, R Mehmood, JM Corchado - Sustainability, 2021 - mdpi.com
Smart cities and artificial intelligence (AI) are among the most popular discourses in urban
policy circles. Most attempts at using AI to improve efficiencies in cities have nevertheless …

Leveraging artificial intelligence in marketing for social good—An ethical perspective

E Hermann - Journal of Business Ethics, 2022 - Springer
Artificial intelligence (AI) is (re) shaping strategy, activities, interactions, and relationships in
business and specifically in marketing. The drawback of the substantial opportunities AI …

A survey of quantum computing for finance

D Herman, C Googin, X Liu, A Galda, I Safro… - arXiv preprint arXiv …, 2022 - arxiv.org
Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …

Spikegpt: Generative pre-trained language model with spiking neural networks

RJ Zhu, Q Zhao, G Li, JK Eshraghian - arXiv preprint arXiv:2302.13939, 2023 - arxiv.org
As the size of large language models continue to scale, so does the computational
resources required to run it. Spiking Neural Networks (SNNs) have emerged as an energy …