The multifaceted challenge of powering AI
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
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Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
In this post, we show you how Amazon Web Services (AWS) helps in solving forecasting challenges by customizing machine learning (ML) models for forecasting. We dive into Amazon SageMaker Canvas…
If you're looking to invest in the rapidly growing AI sector but don't know where to start, the "Manual of Investments for the AI Sector: Fundamentals of 250 Leading Stocks"…
This book on Natural Language Processing with Python is a must-have for anyone interested in harnessing the power of language using cutting-edge technology. Whether you're a data scientist, developer, student,…
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
In this post, we show you how Kyndryl integrated Amazon Q Business with ServiceNow in a few simple steps. You will learn how to configure Amazon Q Business and ServiceNow,…
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
The startup NALA, which began as an MIT class project, directly matches art buyers with artists.
In this post, we show how you can use our enterprise graph machine learning (GML) framework GraphStorm to solve prediction challenges on large-scale complex networks inspired by our practices of…
This post introduces HCLTech’s AutoWise Companion, a transformative generative AI solution designed to enhance customers’ vehicle purchasing journey. In this post, we analyze the current industry challenges and guide readers…