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Computational memory-based inference and training of deep neural networks

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Computational memory-based inference and training of deep neural networks

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The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

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Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

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Biologically plausible unsupervised learning in shallow and deep neural networks

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