In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...
More from Mark Russinovich’s Ignite 2025 sessions, detailing software developments that underpin Microsoft’s move to ...
2don MSN
How major nuclear protein complexes control specialized gene regulation in cancer and beyond
Precision and timing of gene expression is essential for normal biological functions and, when disrupted, can lead to many ...
Barry S. Honig The bulk materials industry is undergoing a significant technological transformation. Organizations across ...
RealClearDefense on MSNOpinion
The limits of artificial intelligence in professional military education
Why Military Colleges Should Not Go "All AI - All the Time" As the nation grapples with how to incorporate artificial ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
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