25 papers · ranked by Valyu relevance
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…
Amaryllis Mavragani, Nadarzynski Tom, Kristiana Ludlow, Shenda Hong + 2 more
Background Artificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care. Objective This study aims to provide an overview of the…
Abhaya Bhardwaj, Shristi Kishore, Dhananjay K. Pandey, Peter Elkin
Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the quality of life of human beings. The fields of AI and biological research are becoming more intertwined, and methods for extracting and applying the information stored in live organisms are constantly being refined. As the…
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…
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…
Anupama Vijayakumar
The fast-paced diffusion of technologies broadly falling under the umbrella of artificial intelligence (AI) is said to be shaping the emerging world order in international relations (IR). It is expected that the global AI race will pave the way for another rise and fall of great powers in the international system…
Alberto Prieto, Beatriz Rodríguez Prieto
> Abstract. Rapid advances in Artificial Intelligence (AI) are generating much controversy in society, often without scientific basis. As occurred the development of other emerging technologies, such as the introduction of electricity in the early 20th century, AI causes both fascination and fear. Following the advice…
Chao Lung Wen
At first glance, artificial intelligence (AI) is considered a new technology (in the last 10 years), but in fact it emerged from researchers aiming to create flexible machines capable of performing tasks that require human intelligence. John McCarthy, Marvin Minsky, and Allen Newell coined the term and presented it at…
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…
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…
Patricia Jankowski, Anja Höfner, Marja Lena Hoffmann, Friederike Rohde + 2 more
'Friederike Rohde' 'Rainer Rehak' 'Johanna Graf'] The discussion about the disruptive possibilities of a technology called artificial intelligence (AI) is on everyone's lips. Companies and countries alike are running multi-billion-dollar research programmes to ensure they do not miss out on the global innovation hunt.…
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…
Flávio Soares Corrêa da Silva
Artificial Intelligence (AI) has received unprecedented attention in recent years, raising ethical concerns about the development and use of AI technology. In the present article, we advocate that these concerns stem from a blurred understanding of AI, how it can be used, and how it has been interpreted in society. We…
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…
Paul Martin, Sarah Mercer
Organisations are rapidly adopting artificial intelligence (AI) tools to perform tasks previously undertaken by people. The potential benefits are enormous. Separately, some organisations deploy personnel security measures to mitigate the security risks arising from trusted human insiders. Unfortunately, there is no…
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…
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…