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 ...

Abacus.AI Inc. today launched what it says is the world’s first enterprise-scale, real-time machine learning and deep learning operations platform today. The startup’s platform enables ...

Ethical Concerns: Deep learning models can amplify biases present in the training data. If the data used to train a model contains biased information, the model may perpetuate these biases in its ...

Comparison of machine-learning antenna models, based on one deep neural network, an ensemble of neural networks and a mixture of experts, is presented. Two datasets comprising 100,000 samples each, ...

Time series prediction with neural networks has been the focus of much research in the past few decades. Given the recent deep learning revolution, there has been much attention in using deep learning ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. Topics Spotlight: New Thinking about Cloud Computing ...

Volume: AI models, especially deep learning models, often require vast amounts of data to learn effectively. The more data available, the better the model can understand complex relationships and ...