Today, machine learning is quickly gaining traction with developers, and AWS wants to help remove some ... to manage the machine learning model process while removing some of the heavy lifting ...

For AWS this means a triple-layered ... to tweak every part of their modeling process, whether with TensorFlow, PyTorch, MXNet, or another machine learning framework. SageMaker promises to ...

ML inference is the process of running new data points ... like high-performance computing, graphics, and machine learning—AWS has built Inferentia and Trainium for a specific purpose ...

Amazon Web Services has released AWS Entity Resolution, a machine-learning-powered analytics service that analyzes, matches and links related records across applications, channels and data stores, in ...

JPMorgan's internal data and AI platform relies on AWS SageMaker, a tool for creating and training machine-learning models ... The bank has simplified the process of developing new models ...

without needing to manage the underlying machine learning infrastructure or train their own healthcare-specific large language models (LLMs), according to AWS executives. Executives said AWS ...

AI has been ‘democratised’ — a process of becoming accessible ... Simon Johnston, AWS Artificial Intelligence and Machine Learning Practice Lead for ANZ, had this to say: “Empowering ...

A key element of this effort is development of the Digital Athlete, a joint effort between the NFL and Amazon Web Services (AWS ... intelligence (AI) and machine learning (ML) to build a complete ...