Using this synthetic data, Uber sped up its neural architecture search (NAS) deep-learning optimization process by 9x. In a paper published on arXiv, the team described the system and a series of ...

Semi-Supervised Learning: Deep learning models receive both unlabeled and labeled data in their training set, requiring them to simultaneously give expected outputs and infer outputs based on ...

With deep learning, you start with sample data, deploy the model, and then expose it to the real world. But models that work well on training data often perform poorly on real data.

Data has always been a critical requirement for computer systems. Without enough data, testing is not robust. What’s important in artificial intelligence applications using deep learning (DL) is ...

Waymo put it best this past December when the company noted that “deep learning identifies correlations in the training data, but it arguably cannot build causal models by purely observing ...

Fueled by enterprises seeking greater insight from their analytics, deep learning is now seeing widespread adoption. While this artificial intelligence (AI) discipline was first conceived in the late ...

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 ...

July 28, 2022 — Researchers have created protonic programmable resistors -- the building blocks of analog deep learning systems -- that can process data 1 million times faster than the synapses ...