The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

The integration of AI and IoT has transformed farming into a dynamic data ecosystem, where predictive insights replace ...

IBM is entering a crowded and rapidly evolving market of small language models (SLMs), competing with offerings like Qwen3, ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Artificial intelligence is reshaping many fields, and its impact on healthcare grows by the day. Computational neuroscience, using mathematical and ...

In the narrow passageways of prehistoric caves, where torchlight once flickered against limestone walls, a quiet record of ...

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

Abstract: Robot skill learning and generalization in robotic polishing tasks play a pivotal role in efficient task planning, particularly in tasks where visual scanning is not convenient. Compared to ...