Amazon said the AWS AI & ML Scholarship will provide no-cost access to dozens of hours of free machine learning model training and educational materials.

Additionally, AWS said that it was adding geospatial capabilities to SageMaker to allow enterprises to increase its use or role in training machine learning models.

At its annual re:Invent conference, AWS today rolled out a slew of new features for SageMaker, the company’s managed service for building, training and deploying machine learning (ML) models ...

AWS and NVIDIA Collaborate on Next-Generation Infrastructure for Training Large Machine Learning Models and Building Generative AI Applications ...

How AWS created Inferentia and Trainium for powerful and cost-effective machine learning.

These training Ultra clusters are powered by a powerful machine learning supercomputer for rapidly training the most complex, deep learning models with trillions of parameters,” Selipsky said.

AWS has introduced SageMaker Studio Lab, a free service to help developers learn machine-learning techniques and experiment with the technology. SageMaker Studio Lab provides users with all of the ...

Amazon VP of machine learning Swami Sivasubramanian said AI is having its AWS moment, a period of democratizing the technology by "bringing ML to more builders." ...

The program uses AWS DeepRacer and the new AWS DeepRacer Student League to teach students foundational machine learning concepts by giving them hands-on experience training machine learning models ...

At its re:Invent 2021 conference, Amazon announced a slew of new Amazon Web Services features powered by AI and machine learning.

At re:Invent this week, AWS unveiled updates to database, machine learning and serverless offerings designed to reduce complexity and cost.