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A team of researchers from Japan’s RIKEN Guardian Robot Project has created an android child called Nikola capable of successfully displaying six basic emotions: happiness, sadness, fear, anger, surprise, and disgust.

While the android child is definitely not at the Ex Machina level, the project, led by Wataru Sato from RIKEN, is significant since it’s the first time the quality of these six android-expressed emotions has been examined and validated.

How does it work?

The humanoid robot is equipped with 29 pneumatic actuators that control the movements of artificial muscles within its face. It also uses six extra actuators to move its head and eyeballs, making it even more life-like.

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Strategies built by data definitely work.

The overall strength of a professional sports team is measured with one straightforward metric: wins. However, winning one game, let alone a championship, is extremely difficult in professional sports leagues. As the popularity of sports has grown worldwide over the last century, so has the level of competition in professional sports leagues and what it takes to win. Athletes today are bigger, faster, stronger, and more skilled than their counterparts from previous generations. Professional sports organizations need to look for any advantage to help put their teams in the best position to win. More and more pro sports organizations have turned to data science in search of competitive advantages in recent years. One sports team that has consistently used data science as part of its recipe for success is the English football club Liverpool FC. Although all professional football teams feature an analytics department, Liverpool is unique in its approach.

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Why waste a perfectly good (but obsolete) fighter?

It sure looks like China is converting Cold War fighters into flying drones. Dozens of Shenyang J-16 fighter planes, spotted in satellite photos, are still present at China’s military airfields, despite the People’s Liberation Army Air Force (PLAAF) retiring the type in 2010. China could use the planes in a conflict, either masquerading them as modern jets, or using the drones to carry out combat missions of their own.

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“[It is] encouraging to see this long-term, collaborative approach to privacy-protective personalized advertising from Google,” Graham Mudd, vice president of product marketing, ads and business at Facebook said on Twitter. “We look forward to continued work with them and the industry on privacy-enhancing tech through industry groups.”

Google said it will continue to support the current identifiers for the next two years, which means other companies have time to implement changes.

Apple was criticized by Facebook and other companies for rolling out its App Tracking Transparency feature, which reduces targeting capabilities by limiting advertisers from accessing an iPhone user identifier. With that change, users were given a pop-up window that let them block apps from tracking their data for advertising purposes.

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GreenCore EV Services has a goal of building and operating a network of over 10,000 solar EV charging plazas throughout the United States by the end of the decade. The company’s charging plazas will serve both consumer and commercial vehicles.

To help usher in this goal, GreenCore announced that it has selected B&D Industries to provide labor and prefabrication services to build out the company’s network of solar-powered EV charging plazas.

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Laser-driven ion acceleration has been studied to develop a compact and efficient plasma-based accelerator, which is applicable to cancer therapy, nuclear fusion, and high energy physics. Osaka University researchers, in collaboration with researchers at National Institutes for Quantum Science and Technology (QST), Kobe University, and National Central University in Taiwan, have reported direct energetic ion acceleration by irradiating the world’s thinnest and strongest graphene target with the ultra-intense J-KAREN laser at Kansai Photon Science Institute, QST in Japan. Their findings are published in Nature’s Scientific Reports.

It is known that a thinner target is required for higher ion energy in theory. However, it has been difficult to directly accelerate ions with an extremely thin target regime since the noise components of an intense laser destroy the targets before the main peak of the laser pulse. It is necessary to use plasma mirrors, which remove the noise components, to realize efficient ion acceleration with an intense laser.

Thus, the researchers have developed large-area suspended graphene (LSG) as a target of laser ion acceleration. Graphene is known as the world’s thinnest and strongest 2D material, which is suitable for laser-driven ion sources.

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