F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Neural Network Architectures for Signals Supported on Graphs," IEEE Trans. Signal Process., vol. 67 ...

We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks. This approach is well ...

If you are interested in learning more about how the latest Llama 3 large language model (LLM)was built by the developer and team at Meta in simple terms. You are sure to enjoy this quick overview ...

Deep neural network models (DNNs) have emerged as the dominant class of AI models for performing many tasks, and as promising, albeit debated, candidate models for how the brain functions 1,2,3,4. A ...

Lapp, S., and Kitzes, J., 2025. "Bioacoustics Model Zoo version 0.13.0". https://github.com/kitzeslab/bioacoustics-model-zoo See a description of each model and basic ...

Sample size estimation is a crucial step in experimental design but is understudied in the context of deep learning. Currently, estimating the quantity of labeled data needed to train a classifier to ...

In February, we announced DeepSpeed, an open-source deep learning training optimization library, and ZeRO (Zero Redundancy Optimizer), a novel memory optimization technology in the library, which ...

Application of deep convolutional spiking neural networks (SNNs) to artificial intelligence (AI) tasks has recently gained a lot of interest since SNNs are hardware-friendly and energy-efficient.