The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...
Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...
Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...
Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...
Overview:Machine Learning libraries like PyTorch, TensorFlow, and JAX help developers build, train, and deploy AI models ...
Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.
Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
Abstract: With the increasing adoption of Artificial Intelligence (AI) in various domains, the environmental impact of AI models, particularly their carbon footprint, has become a critical concern.
Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Preventive identification of Electric Vehicle (EV) drive faults always play a vital role in machine condition monitoring. Further, Machine Learning (ML) algorithms are becoming essential for ensuring ...