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NRL Designs Faster, More Energy Efficient Unpiloted Underwater Vehicles

US Navy WASHINGTON, D.C. – NRL Postdoctoral Research Associate from the Laboratories for Computational Physics & Fluid Dynamics designs faster and more energy efficient underwater vehicles using bioinspired shark skin-like surfaces. Nicole Xu, Ph.D., a U.S. Naval Research Laboratory (NRL) Postdoctoral Research Associate from the Laboratories for Computational Physics & Fluid Dynamics designs faster and more energy efficient underwater vehicles using bioinspired shark skin-like surfaces. “Shark skin comprises arrays of teeth-like denticle structures, which contribute to fast and stealthy swimming by turbulent drag reduction,” Xu said. She began her NRL postdoctoral associateship in January 2021. “Xu has demonstrated extraordinary motivation and initiative, as well as technical expertise in the area of unpiloted systems research,” said Jason Geder, an NRL aerospace engineer who is Xu’s mentor.

Queen Mary University of London: Queen Mary researchers win prestigious design award for innovative sea turtle behaviour simulator

Share Every year, the iF DESIGN AWARD identifies outstanding design, its relevance for business and everyday life, and awards one of the most important seals of quality in the world. This year, the award, which spans multiple disciplines, received almost 10,000 entries from over 50 countries. The simulator is the product of a unique collaboration between the Eizaguirre Lab and design studio Wolf In Motion, to create novel tools for analysing the complex behaviours of Cabo Verdean Loggerhead sea turtles. It translates raw movement data collected on real turtles into a 3D visualisation, drastically shortening interpretation time for the scientists. By enabling researchers to visualise their dives, the simulator will ultimately help scientists and conservationists to better understand and protect these endangered animals.

Can I see your parts list? What AI s attempted chat-up lines tell us about computer-generated language » Stuff

Have you ever wondered what flirting with artificial intelligence would look like? Research scientist and engineer Janelle Shane has given us an idea by training a neural network – an algorithm loosely inspired by biological brain structures – to produce chat-up lines. Some of the results are hilarious and completely nonsensical, such as the inelegant: “2017 Rugboat 2-tone Neck Tie Shirt”. But some of them turned out pretty well. At least, if you’re a robot: I can tell by your red power light that you’re into me. You look like a thing and I love you. Can I see your parts list?

I can tell by your red power light that you re into me Computer-generated chat-up lines might not work in the real world

I can tell by your red power light that you’re into me Computer-generated chat-up lines might not work in the real world Some of the results are hilarious and completely nonsensical Daniel Smith Can I see your parts list? (Image: Getty) GET THE BIGGEST STORIES FROM ACROSS SOMERSET STRAIGHT TO YOUR INBOXInvalid EmailSomething went wrong, please try again later. SIGN UP When you subscribe we will use the information you provide to send you these newsletters. Your information will be used in accordance with ourPrivacy Notice. Thank you for subscribingWe have more newslettersShow meSee ourprivacy notice Have you ever wondered what flirting with artificial intelligence would look like? Research scientist and engineer Janelle Shane has given us an idea by training a neural network – an algorithm loosely inspired by biological brain structures – to produce chat-up lines.

I can tell by your red power light that you re into me Computer-generated chat-up lines might not work in the real world

I can tell by your red power light that you re into me Computer-generated chat-up lines might not work in the real world
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