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Superhero Nokia X20 tested before launch

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The Nokia X20 smartphone has appeared in the database of the popular Geekbench benchmark application, which has confirmed some of its key characteristics. Recall that the smartphone has an internal code name Scarlet Witch (Scarlet Witch) in honor of the superheroine of the Marvel universe.

Geekbench confirms that the Nokia X20 is equipped with a Qualcomm SoC with model number SM4350, which hides the Snapdragon 480 mobile platform. It also states that the Nokia X20 has 6 GB of RAM and runs Android 11. In the Geekbench single-core and multi-core tests scored 507 and 1661 points, respectively.

A previous leak claimed that not only the Nokia X20 but also the Nokia X10 is equipped with a Snapdragon 480 chipset and 6GB of RAM. While the X10 will ship with 32GB of non-volatile storage, the X20 will come with 128GB of internal flash storage.

Nokia 9 PureView

Nokia X10 will be priced at 300 euros and will be offered in white and green. Nokia X20 in blue and sand is expected for 350 euros.

On April 8th, HMD Global will hold a press conference featuring the Nokia X10, X20, G10 and G20. All specifications, price and test results of the first “gaming” smartphone Nokia were published in the morning.

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Xturismo Flying Motorcycle Orders Started in Japan

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The Japanese company ALI Technologies has presented the “flying motorcycle” Xturismo, capable of speeds up to 100 km / h and stay in the air for up to 40 minutes. During the demonstration, the device rose several meters above the ground and flew for about one and a half minutes. The weight of the device, designed to carry one person, is 300 kg.

ALI Technologies, backed by Kyocera and Mitsui Sumitomo Insurance Venture Capital, has already started accepting orders and plans to begin shipping the first batch of 200 pieces in the first half of next year. The Xturismo is priced at approximately $ 682,000.

Xturismo Flying Motorcycle Orders Started in Japan

Interestingly, in the Xturismo, the main propulsion system does not use electric motors, but an internal combustion engine that drives the two main propellers. Auxiliary propellers help maintain balance and perform maneuvers. To do this, the “motorcycle” uses technology tested by ALI in drones.

One of the applications of the apparatus is called rescue operations on the water. True, it is not clear how exactly the assistance is supposed to be provided – neither the carrying capacity, nor the cruising range, nor the lack of the possibility of landing on water contribute to such an application, not to mention the fact that for aircraft operated over water, it is mandatory to reserve engines with the ability to continue flight if one of them fails.

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NASA: You Can Help Teach Rovers To Explore Mars Better

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The US Aeronautics and Space Administration NASA has published a note with the intriguing headline “You Can Help Teach NASA Mars Rovers to Explore Mars Better.”

As the department explains, artificial intelligence has tremendous potential to change the way spacecraft study the universe. But since all machine learning algorithms require human training, NASA is asking members of the public to help identify elements of scientific interest in images taken by the Perseverance rover.

The project, called AI4Mars, is a follow-up to a project launched last year based on imagery from the Curiosity rover.

NASA: You Can Help Teach Rovers To Explore Mars Better

Early contributors to this project mapped out nearly half a million images, using a tool to highlight objects such as sand and rock that NASA’s Jet Propulsion Laboratory (JPL) Mars rover drivers typically look at when planning routes on the Red Planet. The end result was an algorithm called SPOC (Classification of Soil and Object Properties) that could correctly identify these features in almost 98% of cases.

The SPOC algorithm is still in development, and NASA hopes that one day it can be sent to Mars aboard a spacecraft of the future that can do more autonomous driving than Perseverance’s AutoNav technology allows.

AI4Mars now provides additional markers to indicate more precise details, allowing people to choose options such as moving rocks or nodules (globular mineral formations).

The goal is to hone an algorithm that could help a future rover pick “needles out of a haystack” of data sent from Mars.

Equipped with 19 cameras, Perseverance sends tens to hundreds of images to Earth every day for scientists and engineers to view specific geologic features. But time is running out: after these images have traveled millions of kilometers from Mars to Earth, NASA team members have hours to develop the next set of instructions, based on what they see in these images, to send to Perseverance.

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GaN fast chargers are expected to surpass 50% in 2025

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Apple recently introduced a 140W MagSafe charger for the new MacBook Pro, marking the first time Apple has used gallium nitride (GaN) transistors in a charger. According to TrendForce analysts, this is a sign that fast chargers over 100W have entered a period of growth. This is facilitated by lower prices for power GaN transistors, which are already close to $ 1 apiece. TrendForce expects the share of models with such transistors among fast chargers this year will be 17%, which is almost double last year’s figure, and in 2025 it will exceed 50%.

TrendForce also notes that the peak power of the vast majority of GaN fast chargers in 2020 was in the 55-65W range. More specifically, the 55-65W model accounted for 72% of all GaN fast chargers sales, while the 90W or higher model accounted for only 8% of sales. 140W peak power fast chargers are the most powerful currently available.

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