Artificial Intelligence | News, analysis, features, how-tos, and videos
Three widely used frameworks are leading the way in deep learning research and production today. One is celebrated for ease of use, one for features and maturity, and one for immense scalability. Which one should you use?
AI/ML model training and knowledge-based storage and processing are more costly on a cloud than many thought, and prices for compute and storage equipment have fallen.
Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to run on a recurrent schedule.
What’s the point of open sourcing code that runs at a scale no one can replicate? AI needs collaboration, but let’s think about it differently.
What's the buzz about Google JAX? Find out how JAX combines Autograd and XLA for blazing-fast numerical computing and machine learning research on CPUs, GPUs, and TPUs.
Important knowledge is scattered throughout the organization. Simplify everything, make it easy for employees to find what they need, and use machine learning.
Microsoft is finally close to delivering its long-promised natural user interfaces. Here’s how you can build them into your code.
Copilot is available via subscription for commercial developers, free to students and maintainers of popular open source projects.
Artificial intelligence unlocks the true potential of IoT by enabling networks and devices to learn from past decisions, predict future activity, and continuously improve performance and decision-making capabilities.
New text classification API for Microsoft’s open source machine learning framework streamlines model training by using your data to fine-tune an existing model.