A well-designed Voice Activity Detection (VAD) front-end minimizes processing demands. Spiking Neural Networks (SNNs), a cutting-edge paradigm in brain-inspired computing, excel in energy efficiency ...

This is the code related to the paper titled "Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation" published in ICLR, 2020 ...

This is a lightweight repository of bayesian neural network for PyTorch. @article{lee2022graddiv, title={Graddiv: Adversarial robustness of randomized neural networks via gradient diversity ...

Data Needs: Predictive AI thrives on extensive labeled datasets for accurate forecasting, while generative AI can operate ...

One major category of the next generation of energy-efficient microelectronic devices and information processing technologies ...

It’s official: generative AI is now the fastest growing job skill. With an 866% year-on-year demand, here are the top 10 high ...

This useful study presents a virtual reality-based contextual fear conditioning paradigm for head-fixed mice. The approach provides a way to perform multiphoton imaging of neural circuits during ...

The authors develop an analysis package for characterizing the activity of neural dendrites and soma ... suggestive of network-level computational mechanisms.

Looking at AI-generated art shows that machines may never truly understand the human mind, because there are states of mind ...

Wang等人提出了一种单组分n型光电化学突触，该突触能够响应电和光刺激进行电流调制。这是用于多光谱传感，突触可塑性，记忆，图像识别和运动检测，为生物启发光电应用。