Machine learning
Researchers at King Saud University have sounded the alarm on the increasing inadequacy of traditional security mechanisms in the face of evolving cyberattacks. Artificial intelligence (AI) has emerged as a promising solution, but these AI-based Network Intrusion Detection Systems (NIDS) remain vulnerable to adversarial threats, particularly data poisoning attacks. In
Machine learning
Signal Advance's patented Analog Guard encryption system has demonstrated significant resistance to decryption by advanced artificial intelligence (AI) models, offering a new layer of security against next-generation AI threats. The system's analog-domain design allows it to provide intrinsic defense against AI attacks, making it a promising
Machine learning
Researchers at Calico Life Sciences LLC have made significant breakthroughs in using state-of-the-art machine learning tools to predict gene expression data from DNA sequences. By leveraging ideas from signal-processing literature, the team has developed new approaches inspired by state-space models, Fourier transforms, and wavelet transforms, which have shown promising results
Machine learning
Research published in the Aceh International Journal of Science and Technology has highlighted the potential of combining Self-Regulated Learning (SRL) and Machine Learning (ML) techniques to create intelligent and adaptive learning environments in Open and Distance eLearning (ODeL) contexts. The study, conducted by researchers at the University of South Africa,
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 Universiti Malaya in Kuala Lumpur, Malaysia, have developed a novel wireless electrochemical biosensor potentiostat system for the detection of lung cancer biomarkers. The system, enhanced with machine learning and Internet of Things (IoT) integration, offers a rapid and sensitive alternative to traditional detection methods. According to the World
Machine learning
As physicians document patient encounters, technological advancements quietly transform the sterile corridors of healthcare facilities worldwide. At the forefront of this transformation is Vamsi Reddy Chagari, machine learning lead at Suki, whose AI innovations have alleviated the administrative burden on healthcare delivery. By combining speech recognition, natural language processing, and
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
Machine learning
A patent application filed on June 18, 2025, by inventors FENG, Fan, FENICHEL, Allison, and REED, Illiana, proposes a system for linking physical location data and online channel data of entities in a database. The system utilizes natural language processing, machine learning, and graph theory to identify and associate online
Machine learning
A team of researchers from the Renmin Hospital of Wuhan University, in collaboration with international partners, has made a groundbreaking discovery in the field of personalized medicine. By leveraging machine learning algorithms, the team has developed a highly accurate prognostic model for gastric cancer, a highly heterogeneous disease that requires
Machine learning
A team of researchers from Tongji University in Shanghai, People's Republic of China, has made significant discoveries in the field of pancreatic cancer, identifying a new biomarker and shedding light on the regulatory mechanisms underlying the disease. The study, published in The FASEB Journal, aimed to examine the
Machine learning
A study on Information Technology and Data Encoding and Encryption has identified a significant challenge in protecting against cyber threats. The researchers from the University of Ha'il, in collaboration with Hassan II University of Casablanca, have proposed a novel framework, Empowering Privacy-Preserving Anomaly Detection (EPAD), to address this
