Machine learning
The AI in aviation market is rapidly growing, driven by advancements in machine learning, computer vision, sensor fusion, and natural language processing technologies. The market is expected to reach $4.86 billion by 2030, from $1.75 billion in 2025, with a compound annual growth rate (CAGR) of 22.6%
Artificial intelligence
Artificial intelligence (AI) has made significant strides in nursing education, offering personalized and interactive communication training that can enhance learning outcomes. However, there is a lack of comprehensive information about its use in nursing education, hindering its widespread adoption. A recent scoping review published in the Journal of Professional Nursing
Artificial intelligence
A research team at Peking University has made a significant breakthrough in artificial intelligence (AI) computing by developing the world's first efficient sorting hardware architecture based on storage-computing integration technology. The team, led by Professor Yang Yuchao and Researcher Tao Yaoyu, has overcome the bottleneck problem of low
Machine learning
Research published by Harvard University's Institute for Quantitative Social Science has made significant strides in analyzing park-based health-promoting behavior and emotion using machine learning-aided text mining methods. By extracting detailed park-based behavior from large-scale social media data, the study aimed to provide a more accurate understanding of the
Machine learning
A new study on data security is now available, presented by researchers at Khalifa University. The research provides a comprehensive survey and experimental evaluation of machine learning techniques for Big Data Analytics across four critical domains: IoT, Social Media, Natural Language Processing (NLP), and Information Security. The study integrates large-scale
Machine learning
A recent patent application filed by Japanese inventors Nobuyuki Enomoto, Kazuya Iriguchi, and Keitaro Minami has outlined a groundbreaking approach to controlling robots using natural language processing (NLP). The patented system enables robots to work flexibly based on user interactions through instructions in natural language, revolutionizing the field of robotics
Artificial intelligence
The global artificial intelligence (AI) in pharmaceutical market is rapidly growing, driven by the increasing demand for rapid drug discovery, precision medicine, and efficient clinical trials. The market is projected to reach USD 13.46 billion by 2032, expanding at a CAGR of 29.33 percent during the forecast period
Artificial intelligence
China's People's Liberation Army has been actively deploying AI across its major warfighting functions under the banner of "intelligentised warfare", causing concern for India's defense capabilities. Beijing is taking a graded approach, starting with applying AI to improve battlefield equipment and integrating
Machine learning
Researchers at Karpagam College of Engineering have made a significant breakthrough in the detection of cyberbullying through the development of a novel deep learning method called Hybrid averaged and weighted averaged review vector Quantum long short-term memory neural based Multitask Learning with Black-winged kite Optimization (HQMLBO). This method uses a
Machine learning
A new study published in the International Journal of Economics and Financial Issues has made a groundbreaking discovery in understanding the causes of Turkish Lira volatility. The research, led by Mahat Maalim Ibrahim and Asad Ul Islam Khan from Ibn Haldun University, has revealed that international media sentiments have a
Machine learning
Researchers from the Universitatea de Vest din Timisoara are exploring the potential of artificial intelligence (AI) in transforming personalized medicine. According to their study, AI can revolutionize the healthcare industry by enabling treatments to be tailored to individual patients' profiles. The researchers highlight the importance of AI in making
Machine learning
Nigeria's treasury leaders are embracing artificial intelligence to transform the function from a back-office guardian of liquidity to a driver of enterprise resilience and growth. AI is being used to improve forecasting accuracy, working capital efficiency, and risk management, enabling treasuries to contribute strategically to business decisions. The
