We're celebrating Earth Day 2022 from 4/22 through 4/29 with posts that highlight how to build, maintain, and refine your workloads for sustainability. AWS estimates that inference (the process of using a trained machine learning [ML] algorithm to make a prediction) makes up 90 percent of the cost of an ML model. Given with AWS you pay for what you use, we estimate that inference also generally equates to most of the resource usage within an ML lifecycle. In Part 3, our final piece in the series, we show you how to reduce the environmental impact of your ML workload once your model is in production. If you missed the first parts of this series, in Part 1, we showed you how to examine your workload to help you 1) evaluate the impact of your workload, 2) identify alternatives to training your own model, and 3) optimize data processing.

PALO ALTO, CA, Feb 21, 2023 – DeepBrain AI, a deep-learning based video synthesis startup company, announced that its solutions, AI Human and AI Studios, have successfully completed Amazon Web Services (AWS) Foundational Technical Review (FTR) and the company has joined the AWS Partner Network (APN). DeepBrain AI has successfully undergone the AWS Foundational Technical Review (FTR), which enables members of the Amazon Web Services (AWS) Partner Network (APN) to detect and address potential vulnerabilities in their solutions by utilizing the AWS Well-Architected Framework. The qualified solution AI Human helps customers utilize conversational virtual AI human in their business such as AI banker, AI tutor, etc. This solution is based on various interactive AI technologies that combines voice and video synthesis, voice recognition technologies, and natural language processing (NLP). AI Studios is a SaaS based text-to-video production tool that allows users to create interactive AI human video by texting, without studio, lighting, camera, set-staff, and even the video host.

Listen to Dr. Swami Sivasubramanian, Vice President, Amazon Machine earning, and other speakers on the latest key development and innovations in AWS AI & ML. There are new product & service launches, customer stories, demos, and more in this 2-hour Machine Learning keynote session. If you're interested to find out more on the past re: Invent Machine Learning keynote, the full video session and blogs are available below. Hugging Face is a fast-growing, popular, open-source AI/ML community hub for Natural Language Processing (NLP) models, datasets, as well as community ML apps, demo spaces. I am very keen to learn how I can quickly train a Hugging Face transformer NLP model on Amazon SageMaker with just a few lines of code using PyTorch or TensorFlow with SageMaker's distributed training libraries in this workshop.