SpaceX Must Fix 63 Issues Before Its Starship Can Fly Again
Following a joint “mishap investigation” by SpaceX and the FAA, the federal agency listed 63 issues that must be addressed before launches can resume at the Texas site.
New physics-based self-learning machines could replace current artificial neural networks and save energy
Artificial intelligence not only affords impressive performance, but also creates significant demand for energy. The more demanding the tasks for which it is trained, the more energy it consumes.
22, CS Major, More Fluent in Python than in Social Cues. Roast Me!
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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 …
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Best 6 AI Article Rewriter Tools for 2023
Jasper’s AI article rewriter tools are the best in the game. Find out why, plus see which 5 other tools we’d recommend.
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 …
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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 …
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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 …
Read more “A novel computational fluid dynamics framework for turbulent flow research”
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 …
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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 …
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