If the parameters are too few, the learned model can be too simple and fail to capture all the nuances of the data it’s trained on. Too many and the model becomes overly complex, learning the patterns ...

Microsoft announced on-device training of machine language models with the open source ONNX Runtime (ORT). The ORT is a cross-platform machine-learning model accelerator, providing an interface to ...

Recently, Shaila Niazi, a third-year doctoral student in Çamsari’s lab, achieved a significant breakthrough in that effort, becoming the first to use probabilistic hardware to train a deep generative ...

Like its fossil-fuel counterpart, the process of deep learning has an outsize environmental impact. In a new paper, researchers at the University of… Deep learning has a terrible carbon footprint.