A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...
Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Abstract: A convolutional neural network (CNN)-based architecture for the optimization of demodulation reference signal (DMRS) patterns is proposed for 5G new radio systems. The proposed architecture ...
As the economy and society continue to develop, the range of underwater vehicles is expanding and technology is constantly being upgraded. Consequently, it is becoming increasingly difficult to ...
1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...
In telecommunication applications, target impedance serves as a crucial benchmark for power distribution network (PDN) design. It ensures that the die operates within an acceptable level of rail ...
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