Artificial Intelligence | News, analysis, features, how-tos, and videos
Build your own supercomputer in the cloud with Azure’s high-performance computing tools.
Nvidia’s VMware-optimized AI software stack offers a strong alternative to doing machine learning in the AWS, Azure, and Google clouds. Nvidia LaunchPad lets you try it out for free.
Alexa does a lot of things but arguably doesn’t do many of them well. Perhaps a better approach would be to go deep instead of broad.
The ability to reuse pre-built AI solutions and components, and customize them without coding, will finally allow AI solutions to be created without requiring scarce AI talent or costly IT resources.
This emerging technology merges the physical and digital worlds in ways that have the potential to transform many industries.
New Relic has updated its full-stack analysis and observability platform, New Relic One, to allow data scientists and machine learning engineers to import data from different systems, monitor ML application performance and retrain models.
Focus on these engineering best practices to build high-quality models that can be governed effectively.
Amazon Textract, Azure Form Recognizer, and Google Document AI can parse your unstructured documents and produce structured information for all kinds of digital transformation use cases.
At re:Invent this week, AWS unveiled updates to database, machine learning and serverless offerings designed to reduce complexity and cost.
Amazon SageMaker Canvas provides a visual interface for preparing data and training models, no programming or machine learning expertise required.