26 papers · ranked by Valyu relevance
Matteo Pasquinelli, Vladan Joler
Some enlightenment regarding the project to mechanise reason. The assembly line of machine learning: data, algorithm, model. The training dataset: the social origins of machine intelligence. The history of AI as the automation of perception. The learning algorithm: compressing the world into a statistical model. All…
Li Zhetao, Zeng Xiyu, Wang Jianhui, Xiao Yong + 5 more
While the primary function of computers lies in computation and processing, the core value of the Internet is rooted in sharing and collaboration. Computers create the Internet, and the Internet empowers the value of computers. The rapid development of the Internet, cloud computing, and big data is pushing artificial…
Daswin De Silva, Damminda Alahakoon
Title: Summary This paper presents the “CDAC AI life cycle,” a comprehensive life cycle for the design, development, and deployment of artificial intelligence (AI) systems and solutions. It addresses the void of a practical and inclusive approach that spans beyond the technical constructs to also focus on the…
Daswin De Silva, Damminda Alahakoon
Drawing on our experience of more than a decade of AI in academic research, technology development, industry engagement, postgraduate teaching, doctoral supervision and organisational consultancy, we present the 'CDAC AI Life Cycle', a comprehensive life cycle for the design, development and deployment of Artificial…
Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell + 1 more
'Seshu Tirupathi'] IBM Research Castor, a cloud-native system for managing and deploying large numbers of AI timeseries models in IoT applications, is described. Modelling code templates, in Python and R, following a typical machine-learning workflow are supported. A knowledge-based approach to managing model and…
Francesco Chiappelli, Quyen French, Allen Khakshooy
The adoption of artificial intelligence (AI), from routine in every day usage to specialized interventions in dentistry and medicine, from personal needs to sophisticated business applications, has skyrocketed in high-income as well as in developing nations in the last decade. Inequalities remain however, and while AI…
Roberto Nunez, Alon Harris, Omar Ibrahim, James Keller + 7 more
'Christopher K. Wikle' 'Erin Robinson' 'Ryan Zukerman' 'Brent Siesky' 'Alice Verticchio' 'Lucas Rowe' 'Giovanna Guidoboni'] Recent developments in the use of artificial intelligence in the diagnosis and monitoring of glaucoma are discussed. To set the context and fix terminology, a brief historic overview of artificial…
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…
Éléa Thibault Greugny, Nicolas Ratto, Loïc Etheve, Jean-Baptise Gourlet + 2 more
Mathematical modeling of disease and drug action is becoming an indispensable component of drug development, underscored by recent examples of models predicting trial results. To be able to rely on such approaches, decision-makers need to be able to verify those results independently with in silico confirmatory…
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…
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 LEMMA (LLM Enabled Mechanistic Modelling for ecosystem Assessment), a framework that programmatically…
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…
Yuchun Li, Zhang Fei
Model Authors: ['Yuchun Li' 'Zhang Fei'] Abstract: This paper explores a deep learning based robot intelligent model that renders robots learn and reason for complex tasks. First, by constructing a network of environmental factor matrix to stimulate the learning process of the robot intelligent model, the model…
Stephen B Lee, Alexis B Carter, Muhammad Hamis Haider, Seok-Bum Ko + 2 more
Artificial intelligence (AI) is already fundamentally changing society, with medicine being no exception. AI will impact how we practice, how hospitals operate, and even the practice of medicine itself. The use of AI-based products has already begun, with examples including AI scribes and large language models such as…
Virginia Gonzalez, Tristan Yang, Sebastian Bassi
The General Feature Format (GFF) is widely used to represent genomic annotations, but its hierarchical, multi-attribute structure makes manual querying and analysis challenging. Existing libraries such as gffutils provide programmatic interfaces, yet they require coding proficiency. gffutilsAI is a novel AI-powered…
Authors not listed
Agentic artificial intelligence (AI) is poised to redefine how science is conducted, automating not just data analysis but the entire research lifecycle, from hypothesis generation to validation. Yet most current AI agents remain domain-bound, tailored to specific applications such as materials synthesis or quantum…
John P. Nelson, Olajide Olugbade, Philip Shapira, Justin B. Biddle
—Artificial intelligence (AI) raises expectations of substantial increases in rates of technological and scientific progress, but such anticipations are often not connected to detailed ground-level studies of AI use in innovation processes. Accordingly, it remains unclear how and to what extent AI can accelerate…
Kaushal Kumar, Vijay Vikram Singh, Ramakrishna Ramaswamy
Machine learning (ML) plays a key job in the guide of cancer diagnosis and identification. The researcher has implemented different algorithms of ML for the prediction of breast cancer. Some researchers recommend their algorithms are more accurate, faster, and easier than others. My study relies on recently developed…
Authors not listed
We have developed Aitomia – a platform powered by AI to assist in performing AI-driven atomistic and quantum chemical (QC) simulations. This evolving intelligent assistant platform is equipped with chatbots and AI agents to help experts and guide non-experts in setting up and running atomistic simulations, monitoring…
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…
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
This paper explores the transformative potential of Artificial Intelligence (AI) in enabling in silico clinical trials (ISCTs) for vaccine development. ISCTs, which simulate clinical trials using virtual patient cohorts, offer a cost-effective, ethical, and efficient alternative to traditional methods. AI significantly…
Muhammad Hanzla, Abdul Rehman Shinwari
Machine Learning (ML) can be defined as a class of Artificial Intelligence for automated data analysis, which is capable of detecting patterns in data. The extracted patterns can be used to predict un-known data or to assist in decision-making processes under uncertainty. Recent advances in experimental and…
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…
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…
Frank Emmert‐Streib, Olli Yli‐Harja, Matthias Dehmer
The field artificial intelligence (AI) has been founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed though various stages of popularity and received recently a revival in the form of deep neural networks. Some problems of AI are that so far neither 'intelligence' nor the goals…