Artificial intelligence
Researchers at Jiangnan University in China have made significant contributions to the field of cybersecurity threat intelligence by developing a novel algorithm to detect fake CTIs. The algorithm, which uses a generalized language model (GLM)-based system for fake CTI generation, has shown impressive results in identifying and distinguishing between
Algorithms
Instagram has started testing a new feature that enables users to fine-tune the content they see in their Reels and Explore feeds, allowing them to directly influence the algorithm's recommendations. The experiment, announced by Instagram head Adam Mosseri, aims to give users more control over the app'
Artificial intelligence
Researchers from the University of Tunku Abdul Rahman have used machine learning algorithms to identify the main barriers to digital financial inclusion in Nigeria, a country with one of the lowest adoption rates of digital financial services (DFS). The study, published in the Journal of Informatics and Web Engineering, utilized
Artificial intelligence
Researchers at the Huazhong University of Science and Technology in Wuhan, China, have conducted a study on the use of artificial intelligence (AI) in chest computed tomography (CT) scans. The study aimed to investigate the effects of a precise imaging (PI) deep-learning AI algorithm combined with a low-dose scanning protocol
Machine learning
Research conducted at the Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical University and Huai'an Second People's Hospital, Huai'an, Jiangsu, People's Republic of China, has established a machine learning (ML) model to predict ICU mortality in patients
Machine learning
Researchers at Chiang Mai University have developed a data-driven quality improvement framework for enhancing production quality in the woven wire mesh industry. The framework employs machine learning, data visualization, and correlation analysis to predict optimal machine settings and minimize defects in the manufacturing process. A case study conducted at a
Algorithms
Researchers at the Chinese Academy of Sciences have made a significant advancement in the field of machine learning by developing a novel automated graph neural network (GNN) architecture search framework, dubbed AutoGNP, designed to tackle nonlinear optimization problems. This framework represents a major breakthrough in the application of GNNs to
Algorithms
Researchers at Northeastern University have proposed a new algorithm to tackle sparse large-scale multi-objective optimization problems (LSMOPs), a critical challenge in real-world applications. The algorithm, a multiple knowledge-based evolutionary algorithm, employs a two-layer encoding scheme, knowledge-driven evolution strategy, and association optimization method to optimize sparse distributions and non-zero variables simultaneously.
Algorithms
Researchers at the University of Bremen have made a significant breakthrough in quantum engineering, optimizing Shor's algorithm for quantum computing. By adopting a mid-level abstraction, the team analyzed the algorithm as a sequence of computational tasks, enabling systematic identification of idle time and optimization of execution flow. Their
Algorithms
Researchers at Gazi University have created a novel algorithm to overcome the limitations of existing methods in global optimization and engineering design problems. The new algorithm, called FDB-NSM-LSHADE-EpSin, combines the efficiency of fitness-distance balance (FDB) and natural survivor method (NSM) with the differential evolution (DE) algorithm, resulting in a more
Algorithms
A new study published in the Journal of Management Studies challenges the conventional view of artificial intelligence (AI) as an independent entity within organizations. Researchers from the University of Ottawa argue that AI arises from the relations among human and algorithmic actors, rather than residing within algorithmic actors themselves. This
Machine learning
Researchers at the University of Science and Technology Beijing have introduced a novel system identification method for developing a dynamic model of flapping-wing robots, presenting a significant advancement in robotics. This method constructs an independent frame for each flapping-wing, enhancing the authenticity of the model's structure. The team
