The effects of climate change grow more tangible by the day. As a result, the electric power industry is hastening efforts to reduce environmental impact. To do so, they need help to get a clearer picture of where they fall on the emissions reduction roadmap, and to better understand their opportunities for improvement. This is …
Read more “Harnessing AI and data analytics can make clean energy more viable”
Posted by Shantanu Shahane, Software Engineer, and Matthias Ihme, Research Scientist, Athena Team Turbulence is ubiquitous in environmental and engineering fluid flows, and is encountered routinely in everyday life. A better understanding of these turbulent processes could provide valuable insights across a variety of research areas — improving the prediction of cloud formation by atmospheric …
Read more “A novel computational fluid dynamics framework for turbulent flow research”
Efficient control policies enable industrial companies to increase their profitability by maximizing productivity while reducing unscheduled downtime and energy consumption. Finding optimal control policies is a complex task because physical systems, such as chemical reactors and wind turbines, are often hard to model and because drift in process dynamics can cause performance to deteriorate over …
Read more “Optimize equipment performance with historical data, Ray, and Amazon SageMaker”
To empower developers to identify sensitive content in a rapidly changing media environment, we are excited to announce Text Moderationpowered by PaLM 2, available through the Cloud Natural Language API. Built in collaboration with Jigsaw and Google Research, Text Moderation helps organizations scan for sensitive or harmful content. Here are some examples of how the …
Read more “Improving Trust in AI and Online Communities with PaLM-based Moderation”
Peter Relan, the founder of the YouWeb incubator, has unveiled the latest addition to his incubator portfolio, YouWeb IV, which will address climate change and carbon management. The incubator aims to support and accelerate the progress of early-stage companies in the field of carbon management, with a particular focus on technologies and solutions…Read More
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Posted by Si-An Chen, Student Researcher, Cloud AI Team, and Chun-Liang Li, Research Scientist, Cloud AI Team Time series forecasting is critical to various real-world applications, from demand forecasting to pandemic spread prediction. In multivariate time series forecasting (forecasting multiple variants at the same time), one can split existing methods into two categories: univariate models …
Read more “TSMixer: An all-MLP architecture for time series forecasting”
Modern enterprise networks are vast systems of remote and on-premises endpoints, locally installed software, cloud apps, and third-party services. Every one of these assets plays a vital role in business operations—and any of them could contain vulnerabilities that threat actors can use to sow chaos. Organizations rely on the vulnerability management process to head off these cyberthreats before …
Posted by Si-An Chen, Student Researcher, Cloud AI Team, and Chun-Liang Li, Research Scientist, Cloud AI Team Time series forecasting is critical to various real-world applications, from demand forecasting to pandemic spread prediction. In multivariate time series forecasting (forecasting multiple variants at the same time), one can split existing methods into two categories: univariate models …
Read more “TSMixer: An all-MLP architecture for time series forecasting”
Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). With the advent of these LLMs or FMs, customers can simply …