Artificial Intelligence | News, analysis, features, how-tos, and videos
Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both.
Microsoft’s new tool makes it possible to use your own GPU to work with popular machine learning platforms.
Stressed supply chains cause revenue and productivity issues and disrupt our own lives. Whose supply chains are still working well, and what technology are they using?
Explore these breakthroughs, and more, at the GTC developer conference
Although we've called 'continuous intelligence' by different names in the past few decades, the concept is important. Don't be distracted by the label.
Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety.
Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models.
More organizations will tune into the far-reaching benefits of a symbiotic human-AI relationship in the coming year. Here’s how.
PipelineDP allows datasets containing personal information to be aggregated in a way that preserves the privacy of individuals.
Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset.