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Explores Seq2Seq models with and without attention mechanisms, covering encoder-decoder architecture, context vectors, decoding processes, and different types of attention mechanisms.
Explores the detection of stable particles in particle physics experiments, covering observed and unobserved particles, their lifetimes, and the impact of Lorentz boost.
Explores Recurrent Neural Networks for behavioral data, covering Deep Knowledge Tracing, LSTM, GRU networks, hyperparameter tuning, and time series prediction tasks.
Explores Neuromorphic Computing with Artificial Spin Systems, discussing the need for new computing paradigms and the potential of artificial spin systems for neuromorphic computing applications.
