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Advances in deep learning have opened an era of abundant and accurate predicted protein structures; however, similar progress in protein ensembles has remained elusive. This review highlights several recent research directions towards…

Biomolecules · Quantitative Biology 2025-09-23 Bowen Jing , Bonnie Berger , Tommi Jaakkola

In overview of the recent activity of the newly funded EXCLusives with AI and Machine learning (EXCLAIM) collaboration is presented. The main goal of the collaboration is to develop a framework to implement AI and machine learning…

The ability to explain decisions made by AI systems is highly sought after, especially in domains where human lives are at stake such as medicine or autonomous vehicles. While it is often possible to approximate the input-output relations…

Artificial Intelligence · Computer Science 2020-10-15 Daniel C. Elton

Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diffusion and Midjourney over the last few years. In this paper…

Human-Computer Interaction · Computer Science 2024-01-29 Jon McCormack , Maria Teresa Llano , Stephen James Krol , Nina Rajcic

At any sustained positive growth rate of energy demand, depletion of all terrestrial energy resources, including non-renewable deuterium fusion and renewable solar, occurs within a remarkably compressed period. The time to depletion is…

Physics and Society · Physics 2026-04-28 Robert T. Nachtrieb , Steven J. Smith

Large Language Models (LLMs) are leading a new technological revolution as one of the most promising research streams toward artificial general intelligence. The scaling of these models, accomplished by increasing the number of parameters…

Machine Learning · Computer Science 2025-03-17 Leonardo Berti , Flavio Giorgi , Gjergji Kasneci

The releases of OpenAI's o-[n] series, such as o1, o3, and o4-mini, mark a significant paradigm shift in Large Language Models towards advanced reasoning capabilities. Notably, models like o3 have demonstrated strong performance on…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Vernon Y. H. Toh , Yew Ken Chia , Deepanway Ghosal , Soujanya Poria

This work presents a large-scale analysis of artificial intelligence (AI) and machine learning (ML) references within news articles and scientific publications between 2011 and 2019. We implement word association measurements that…

Computation and Language · Computer Science 2021-02-26 Autumn Toney

I model the belief formation and decision making processes of economic agents during a monetary policy regime change (an acceleration in the money supply) with a deep reinforcement learning algorithm in the AI literature. I show that when…

Theoretical Economics · Economics 2022-10-25 Rui , Shi

In recent months, the social impact of Artificial Intelligence (AI) has gained considerable public interest, driven by the emergence of Generative AI models, ChatGPT in particular. The rapid development of these models has sparked heated…

Artificial Intelligence · Computer Science 2024-05-10 Maria T. Baldassarre , Danilo Caivano , Berenice Fernandez Nieto , Domenico Gigante , Azzurra Ragone

Generative models, especially large language models (LLMs), have shown remarkable progress in producing text that appears human-like. However, they often exhibit patterns that make their output easier to detect than text written by humans.…

Computation and Language · Computer Science 2026-01-06 Hadi Mohammadi , Anastasia Giachanou , Daniel L. Oberski , Ayoub Bagheri

The popularity of data augmentation techniques in machine learning has increased in recent years, as they enable the creation of new samples from existing datasets. Rotational augmentation, in particular, has shown great promise by…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Unai Muñoz-Aseguinolaza , Basilio Sierra , Naiara Aginako

Exascale computing holds great opportunities for molecular dynamics (MD) simulations. However, to take full advantage of the new possibilities, we must learn how to focus computational power on the discovery of complex molecular mechanisms,…

Chemical Physics · Physics 2019-01-16 Hendrik Jung , Roberto Covino , Gerhard Hummer

Artificial intelligence (AI) models trained on published scientific findings have been used to invent valuable materials and targeted therapies, but they typically ignore the human scientists who continually alter the landscape of…

Artificial Intelligence · Computer Science 2023-06-05 Jamshid Sourati , James Evans

The development of AI-driven generative audio mirrors broader AI trends, often prioritizing immediate accessibility at the expense of explainability. Consequently, integrating such tools into sustained artistic practice remains a…

Sound · Computer Science 2024-07-23 Austin Tecks , Thomas Peschlow , Gabriel Vigliensoni

Surface phenomena are increasingly becoming important in exploring nanoscale materials growth and characterization. Consequently, the need for atomistic based simulations is increasing. Nevertheless, relying entirely on quantum mechanical…

Materials Science · Physics 2016-10-18 Venkatesh Botu , James Chapman , Rampi Ramprasad

We investigated the potential and limitations of generative artificial intelligence (AI) in reflecting the authors' cognitive processes through creative expression. The focus is on the AI-generated artwork's ability to understand human…

Artificial Intelligence · Computer Science 2023-04-27 Yoon Kyung Lee , Yong-Ha Park , Sowon Hahn

The development of AGI threatens to erode government tax bases, lower living standards, and disempower citizens -- risks that make the 40-year stagnation of wages during the first industrial revolution look mild in comparison. While AI…

Computers and Society · Computer Science 2026-03-06 Lucas Irwin , Tung-Yu Wu , Fazl Barez

Generative Artificial Intelligence (GAI) has made outstanding strides in recent years, with a good-sized impact on software product management. Drawing on pertinent articles from 2016 to 2023, this systematic literature evaluation reveals…

Software Engineering · Computer Science 2023-06-08 Nishant A. Parikh

Output from generative AI such as ChatGPT, can be repetitive and biased. But more worrying is that this output can mysteriously tip mid-response from good (correct) to bad (misleading or wrong) without the user noticing. In 2024 alone, this…

Artificial Intelligence · Computer Science 2025-08-05 Neil F. Johnson , Frank Yingjie Huo
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