Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when ...

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.

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 ...

An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of electrical equipment. However, the noise the data carries during cyclic aging ...