We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
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WiMi researches hybrid quantum-classical learning for multi-class image classification
WiMi Hologram Cloud is studying a hybrid quantum-classical learning architecture for advanced multi-class image classification applications in artificial intelligence research worldwide.
In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...
Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
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It's easy to train your own image classification model with an ESP32, and I did it in five minutes
The ESP32 is a small but mighty microcontroller, capable of all kinds of amazing things. One of the most powerful use cases for one is TinyML, a small machine learning framework that can be used to ...
Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
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