Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

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Magnetic bit writing by short-wave magnons without conversion to the electrical domain is expected to be a game-changer for in-memory computing architectures. Recently, the reversal of nanomagnets by propagating magnons was demonstrated. However, experimen ...

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Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

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Robust machine learning for neuroscientific inference

Driving and suppressing the human language network using large language models

Machine Learning for Modeling Stock Returns

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Topics in statistical physics of high-dimensional machine learning

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Magnon-Assisted Magnetization Reversal of Ni81Fe19 Nanostripes on Y3Fe5O12 with Different Interfaces

Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation

3D diffractive optics for linear interconnects and nonlinear processing

Predicting the long-term collective behaviour of fish pairs with deep learning

Hydrogen-induced tunable remanent polarization in a perovskite nickelate