Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Global Carbon Budget 2024
Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate is critical to better understand the global carbon cycle, support t...
Generative AI in AI-Based Digital Twins for Fault Diagnosis for Predictive Maintenance in Industry 4.0/5.0
Generative AI (GenAI) is revolutionizing digital twins (DTs) for fault diagnosis and predictive maintenance in Industry 4.0 and 5.0 by enabling real-time simulation, data augmentation, and improved anomaly detection. DTs, virtual replicas of physi...
Tailoring Activation Intermediates of CO2 Initiates C–N Coupling for Highly Selective Urea Electrosynthesis
A comprehensive review of methodologies and application to use the real-world data and analytics platform TriNetX
Randomized controlled trials (RCTs) are the gold standard for evaluating the efficacy and safety of both pharmacological and non-pharmacological interventions. However, while they are designed to control confounders and ensure internal validity, t...
The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions
Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance
Abstract With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative arti...
Ethical and Bias Considerations in Artificial Intelligence/Machine Learning
Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges
Empowering sustainability through energy efficiency, green innovations, and the sharing economy: Insights from G7 economies
The power of generative marketing: Can generative AI create superhuman visual marketing content?
Software Update: The ORCA Program System—Version 6.0
ABSTRACTVersion 6.0 of the ORCA quantum chemistry program suite was released in July 2024. ORCA 6.0 is a major turning point in the history of the program since it represents a near complete rewrite of the code base that leads to: (1) major perfor...
The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence
AbstractThis paper presents a multidimensional view of AI's role in education, emphasising the intricate interplay among AI, analytics and human learning processes. Here, I challenge the prevalent narrow conceptualisation of AI as tools in Educati...
Toward expert-level medical question answering with large language models
Forecasts of coking coal futures price indices through Gaussian process regressions
AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators
The authors’ central premise is that a human–LLM (large language model) hybrid approach leads to efficiency and effectiveness gains in the marketing research process. In qualitative research, they show that LLMs can assist in both data generation ...
Large language models for robotics: Opportunities, challenges, and perspectives
ML-powered Internet of Medical Things (MLIoMT) Structure for Heart Disease Prediction
Background ML-powered Internet of Medical Things (MLIoMT) is a burgeoning framework poised to transform healthcare, particularly in the timely identification of heart disease. Objectives This article proposes an innovative MLIoMT structure aimed a...
A comprehensive review on environmental and human health impacts of chemical pesticide usage
Green hydrogen for a sustainable future: A review of production methods, innovations, and applications
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation
There has been a recent explosion of research on Large Language Models (LLMs) for software engineering tasks, in particular code generation. However, results from LLMs can be highly unstable; non-deterministically returning very different code for...
Market Trends
Academic Publication