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Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
West Point Elementary's Teacher of the Year Valerie Carter helps gifted students discover their potential through growth ...
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
Demis Hassabis, CEO of Google DeepMind, predicts artificial general intelligence will transform science and health within a ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative investing and frontier AI labs are converging on the same institutional machine: ...
This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...
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