Inside Cult Brands and Their Fanatical Followings

Brands are always looking for new ways to connect with current and potential customers. Some brands have managed to go beyond just customer loyalty to create a fanatical following. We call these cult brands.  What are cult brands?  Cult brands are B2C companies with customers so passionate that they view their association with the brand …

image1 1

A novel computational fluid dynamics framework for turbulent flow research

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 …

Harnessing AI and data analytics can make clean energy more viable

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 …

image1

A novel computational fluid dynamics framework for turbulent flow research

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 …

DBS ML 14215 OptimizeEquipment Architecture 1 1024x516 1

Optimize equipment performance with historical data, Ray, and Amazon SageMaker

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 …

Improving Trust in AI and Online Communities with PaLM-based Moderation

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 …

YouWeb launches climate tech incubator to drive carbon management

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

hero 1

TSMixer: An all-MLP architecture for time series forecasting

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 …