27 papers · ranked by Valyu relevance
Amirhosein Toosi, A. Bottino, Babak Saboury, Eliot L. Siegel + 1 more
'Arman Rahmim'] The field of artificial intelligence (AI), regarded as one of the most enigmatic areas of science, has witnessed exponential growth in the past decade including a remarkably wide array of applications, having already impacted our everyday lives. Advances in computing power and the design of…
Hao Cui, Taha Yasseri
Title: Summary Current societal challenges exceed the capacity of humans operating either alone or collectively. As AI evolves, its role within human collectives will vary from an assistive tool to a participatory member. Humans and AI possess complementary capabilities that, together, can surpass the collective…
Shuo Yang, Huimin Lu
Welcome to the UK-RAS White Paper Series on Robotics and Autonomous Systems (RAS). This is one of the core activities of UK-RAS Network, funded by the Engineering and Physical Sciences Research Council (EPSRC). By bringing together academic centres of excellence, industry, government, funding bodies and charities, the…
Abdullah A. Abonamah, Muhammad Usman Tariq, Samar Shilbayeh
As artificial intelligence's potential and pervasiveness continue to increase, its strategic importance, effects, and management must be closely examined. Societies, governments, and business organizations need to view artificial intelligence (AI) technologies and their usage from an entirely different perspective. AI…
Constance de Saint Laurent
There has been much hype, over the past few years, about the recent progress of artificial intelligence (AI), especially through machine learning. If one is to believe many of the headlines that have proliferated in the media, as well as in an increasing number of scientific publications, it would seem that AI is now…
Matti Pietikäinen, Olli Silvén
Matti Pietikäinen is Professor Emeritus at the University of Oulu's Center for Machine Vision and Signal Analysis (CMVS). He is a pioneer in Finnish machine vision research - investigating and teaching artificial intelligence since the early 1980s. He is one of Finland's most cited researchers in technology and…
Authors not listed
Artificial intelligence (AI) is reshaping scientific research by accelerating discovery and enabling the analysis of complex data that traditional methods struggle to handle. This review examines over 310,000 journal articles and patents from the CAS Content Collection (2015–2025), with a focus on, biomedical research…
Alexander Muacevic, John R Adler, Karthik Rajaram Mohan, Saramma Mathew Fenn
'Saramma Mathew Fenn'] As new technologies emerge, they continue to have an impact on our daily lives, and artificial intelligence (AI) covers a wide range of applications. Because of the advancements in AI, it is now possible to analyse large amounts of data, which results in more accurate data and more effective…
L. Drukker, J. A. Noble, A. T. Papageorghiou
Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as, or even better than, those drawn by humans. AI is already part of our daily life; it is behind face recognition technology, speech recognition in virtual assistants (such as Amazon Alexa, Apple's Siri, Google Assistant…
Marcus Hütter
The first decade of this century has seen the nascency of the first mathematical theory of general artificial intelligence. This theory of Universal Artificial Intelligence (UAI) has made significant contributions to many theoretical, philosophical, and practical AI questions. In a series of papers culminating in book…
Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer
The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed through various stages of popularity and has recently undergone a revival through the introduction of deep neural networks. Some problems of AI are that, so far, neither the…
Burhan Rashid Hussein, Chongomweru Halimu, Muhammad Tariq Siddique
—Recent development in AI has enabled the expansion of its application to multiple domains. From medical treatment, gaming, manufacturing to daily business processes. A huge amount of money has been poured into AI research due to its exciting discoveries. Technology giants like Google, Facebook, Amazon, and Baidu are…
Daniele Giansanti
Artificial intelligence (AI) is a discipline that studies whether and how intelligent computer systems that can simulate the capacity and behaviour of human thought can be created. Specific definitions can be obtained by focusing on applications and by measuring the reliability and effectiveness of behaviour after…
Subhendu Chakroborty, Nibedita Nath, Sameeta Sahoo, Bhanu Pratap Singh + 6 more
'Bhanu Pratap Singh' 'Trishna Bal' 'Karunesh Tiwari' 'Yosief Kasshun Hailu' 'Sunita Singh' 'Pravin Kumar' 'Chandra Chakraborty'] The field of artificial intelligence (AI) is expanding quickly. To mimic the structure and biological evolution of the human brain, AI was developed to enable computers to acquire knowledge…
Mohammed O. Ahmed, Sahil A. Amale, Rhythm D. Bhavsar, Pratham Chopra + 18 more
Artificial Intelligence (AI) frameworks for automating scientific research have shown strong performance on benchmarks, but their capacity to routinely reproduce results from multiple real-life published studies remains largely untested. We evaluated five advanced AI research frameworks (Kosmos, K-Dense, ToolUniverse…
Authors not listed
This article proposes a three-level classification of artificial intelligence (AI) application in chemical sciences, reflecting the increasing degree of technology involvement in scientific and production processes: from automation of routine tasks (the level of "AI Assistant"), to the creation of specialized…
Kirill Krinkin, Yulia Shichkina, Andrey Ignatyev
— Artificial intelligence is one of the drivers of modern technological development. The current approach to the development of intelligent systems is data centric. It has several limitations: it is fundamentally impossible to collect data for modeling complex objects and processes; training neural networks requires…
Noah Klarmann
This work provides a starting point for researchers interested in gaining a deeper understanding of the big picture of artificial intelligence (AI). To this end, a narrative is conveyed that allows the reader to develop an objective view on current developments that is free from false promises that dominate public…
Authors not listed
As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…
Carlo Dindorf, Eva Bartaguiz, Freya Gassmann, Michael Fröhlich
Artificial intelligence and its subcategories of machine learning and deep learning are gaining increasing importance and attention in the context of sports research. This has also meant that the number of corresponding publications has become complex and unmanageably large in human terms. In the current state of the…
Satvik Tripathi, Alisha Isabelle Augustin, Farouk Dako, Edward Kim
Because of the growing need to provide better global healthcare, computer-based and robotic healthcare equipment that depend on artificial intelligence have seen an increase in development. In order to evaluate artificial intelligence (AI) in computer technology, the Turing test was created. For evaluating the future…
Tomiko Oskotsky, Ruchika Bajaj, Jillian Burchard, Taylor Cavazos + 15 more
Artificial Intelligence (AI) has the power to improve our lives through a wide variety of applications, many of which fall into the healthcare space; however, a lack of diversity is contributing to flawed systems that perpetuate gender and racial biases, and limit how broadly AI can help people. The UCSF AI4ALL program…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…
Eve Florianne Fabre, Damien Mouratille, Vincent Bonnemains, Grazia Pia Palmiotti + 1 more
Artificial Intelligence (AI) is on the verge of impacting every domain of our lives. It is increasingly being used as an advisor to assist in making decisions. The present study aimed at investigating the influence of moral arguments provided by AI-advisors (i.e., decision aid tool) on human moral decision-making and…
Suketu C. Patel, Jin Fan
The assertion that artificial intelligence (AI) cannot grasp the subtleties and complexities of human emotions has been a long-standing debate in AI research. However, recent advancements, particularly in large language models (LLMs), have begun challenging this notion by demonstrating an increased capacity for…
Scott Spillias, Jacob Rogers, Fabio Boschetti, Beth Fulton + 3 more
Ecosystem models are essential for ecosystem management, but their development traditionally requires significant time and expertise, creating bottlenecks in addressing urgent environmental challenges. We present “AI for Models of Ecosystems” (AIME), a novel framework that integrates large language models (LLMs) with…
Yuanqi Du, Chenru Duan, Andres Bran, Anna Sotnikova + 5 more
Large language models (LLMs) have demonstrated outstanding capabilities in general problem-solving and been shown to improve productivity in certain domains. Thanks to their flexibility, recent work has leveraged them for diverse scientific applications, ranging from predictive modeling, scientific Q&A, and even as…