Moto G6, Moto G6 Plus and Moto G6 Play smartphones are expected to make a debut in Sao Paulo in Brazil on April 19. Ahead of launch, Motorola has put out a teaser giving us glimpse of Moto G6, which will feature a 3D glass back. The official teaser was put out by Motorola UK on Twitter. The smartphone will have a dual rear camera setup and dual curved back. The fingerprint scanner will be placed on the front, below the edge-to-edge display. The power button will have a textured design, unlike volume rocker keys.
Separately, Moto G6 and Moto G6 Plus cases have been spotted on MobileFun site, listed to become available in three to five days. The cases are priced between $7.49 (Rs 492 approx) to $11.99 (Rs 788 approx) and can be pre-ordered from the website. The accessories confirm that dual cameras on the two upcoming phones will be aligned horizontally. Though Moto G6 and Moto G6 Play will have 18:9 aspect ratio display, it looks like Motorola will not get rid of the home button on the front, which will also double up as fingerprint sensor.
Moto G6, Moto G6 Play and Moto G6 Plus specifications and features have leaked online, though we will have a confirmation once the phones are made official. Design, display, processor, price and more, here’s a look at everything we know about Moto G6, Moto G6 Play and Moto G6 Plus so far based on leaks:
Motorola, Moto G6, Moto G6 Play, Moto G6 Plus, Moto G6 price, Moto G6 price in India, Moto G6 features, Moto G6 specifications, Moto G6 Play price, Moto G6 Plus price Moto G6 could have dual 12MP+5MP rear cameras with dual LED flash and features like ‘Portrait’ shots and face filters.
Moto G6 is rumoured to come with a 5.7-inch full HD Max vision display with an aspect ratio of 18:9. It will sport a design similar to that of Moto X4, which means a 3D glass back. The phone was previously spotted on Amazon in the US and Canada. The listing has been taken down since. Moto G6 could have dual 12MP+5MP rear cameras with dual LED flash and features like ‘Portrait’ shots and face filters. The front shooter will be 16MP. Other camera features expected for Moto G6 include selective focus, Cutout, real-time animated face filters, and more. Powered by Artificial Intelligence (AI), the cameras on Moto G6 will be able to recognise object and scenes.
Moto G6 will be powered by a 1.8 GHz Octa-Core processor. Authentication methods include fingerprint sensor, though several reports hint as Face Unlock feature as well. Moto G6 could measure 7.2×0.8×15.4cm and weigh 163 grams. Apart from a 32GB storage variant, the phone is also said to launch in a 64GB storage model. It will have either 3GB or 4GB RAM. Moto G6 will be backed by a 3,000mAh battery, with support for the company’s Turbo Charging technology.
Moto G6 Plus: All we know so far
Moto G6 Plus was previously spotted on the Geekbench benchmarking site, which reveals that it will be powered by an Octa-core Qualcomm Snapdragon 660 processor, coupled with 4GB RAM. The smartphone scores 4123 points in multi-core performance and 866 in the single-core.
Leaks suggest that Moto G6 Plus will be a higher-end variant of Moto G6. The phone will sport a 5.93-inch FHD+ display, a Snapdragon 630 processor, a dual camera setup on the back (12MP+5MP) and a 5MP front snapper. The dual-SIM smartphone will run Android 8.0 Oreo. It will come with support for fingerprint reader. The battery on Moto G6 Plus will be a 3,200mAh one.
Motorola, Moto G6, Moto G6 Play, Moto G6 Plus, Moto G6 price, Moto G6 price in India, Moto G6 features, Moto G6 specifications, Moto G6 Play price, Moto G6 Plus price Moto G6 Play was leaked in a nine-second hands-on video, revealing 18:9 aspect display and dual curved edge design at the back.
Moto G6 Play was leaked in a nine-second hands-on video, revealing 18:9 aspect display and dual curved edge design at the back. Motorola’s upcoming G6 series could be heavily inspired from Moto X4, which has a 3D contoured glass back. Moto G6 Play will not have a home button on the front, while a circular fingerprint sensor is expected to be placed at the back. The phone will have an 18:9 aspect ratio Full display, though with prominent bezels on top and bottom. Bezels on sides will be thin. The smartphone is said to pack a 4,000mAh battery.
The dual-SIM smartphone could come with a 5.7-inch HD+ IPS display and run Android 8.0 Oreo. Moto G6 Play will be powered by an Octa-core processor, coupled with 2GB RAM and 16GB internal memory, which will be expandable up to 256GB via a microSD card slot. Moto G6 Play will feature a 12MP primary camera and a 5MP front shooter.
Look Smarter, Feel Healthier with “Bloom” – SmartWatch by Toreto
Toreto, a prominent leader in the innovative and portable digital product market, announces the launch of Bloom SmartWatch.
The newly launched “Bloom” keeps a track of your health while letting you create your own style statement; it not only keeps you updated on your daily physical activities but also helps you monitor various other aspects.
Toreto Bloom is equipped with Corning Gorilla Glass 5 and has an alloyed metallic finish which adds on to your everyday style.
IP68 waterproof feature keeps the watch safe up to 1.5 meters for half an hour.
Combined with an advanced chipset, the band boasts of lower battery consumption that ensures long term performance.
Equipped with Bluetooth 4.4, you can stay connected with the world as you get alerts for the messages, calls on your wrist. Simply pair your SmartWatch with Wear Health App on your Android and iOS Smartphone to access all its features.
Toreto Bloom immaculately measures the number of calories burnt, tests blood pressure, tracks heart rate, while keeping a count of the steps taken; in order to improve the users’ fitness.
This stylish SmartWatch works well with all the Android, iOS devices and is waterproof as well.
Bloom enables users to follow social media updates without looking at your phone.
Supports Android, iOS devices:
Bloom works well with all Android and iOS devices and gets easily connected over Bluetooth for easy access.
Track your BP, heart rate:
Bloom has an inbuilt light mechanism that helps measure heart rate and blood pressure so that you can stay in the best of your health.
The inbuilt pedometer of the SmartWatch lets you keep a track of steps which helps you track the steps you have taken in the entire day along with the distance you have travelled.
Bloom also has a calories counter with which you can control your calorie intake and maintain your fitness.
Track Calls and Social Media:
As you connect your Smartphone to your watch via Bluetooth, you automatically get Call and SMS notifications on your device. Also, you can track WhatsApp, Facebook, Messenger, WeChat, Twitter and other social media app notifications on your watch easily.
Customize watch screen:
Unlike other SmartWatches, one of Bloom’s amazing features enables you to choose any image on your phone and put it as your watch’s wallpaper. Other Features: Apart from the above features Bloom also has an alarm clock and a countdown timer.
Pricing and Availability:
Toreto Bloom is available at an introductory and pocket-friendly price-point of INR 3,499/- through all the leading e-commerce platforms and retail stores across India. This SmartWatch comes along with two detachable straps and a 12-month warranty. For more information, kindly visit www.toreto.in
Mumbai youth got a job of 1.2 crores at Google office in London
It is true that Abdullah Khan (21) could not clear the IIT entrance, but he has made an offer that many IITians would envy.
Earlier this week, Khan got a job at the Google office in London, for a package of 1.2 crore rupees.
The average salary offered to a graduate of a non-IIT engineering college in the city is around Rs 4 lakh per anum. Khan, a student at Shree LR Tiwari Engineering College, Mira Road, was called for a Google interview based on his profile on a site that hosts competitive programming challenges.
After some online interviews, earlier this month Khan was asked to show up for the final screening at Google’s office in London.
His six-figure package includes the base salary of Rs 54.5 lakh (£ 60,000) per year, a bonus of 15 per cent and stock options worth Rs 58.9 lakh ($ 85,000) for four years.
Khan, who is pursuing his last year BE (Computer Science), will join the reliability engineering team at Google’s site in September.
An email from a Google official in November last year mentioned that they had seen Khan’s profile on the programming site and said they were looking for people for locations across Europe.
Khan said that he did not expect such an offer when he participated in competitions on that site.
“I used to participate as it was fun. I did not even know that firms check programmers’ profiles on such sites. I showed the email to my friend who knew someone who had received such an email in the past. I am looking forward to joining their team. It will be an amazing learning experience for me,” said Khan. The coding enthusiast did his education in Saudi Arabia and moved to Mumbai only after Class XII.
Artificial intelligence may help develop clean, limitless fusion energy
Artificial intelligence (AI) may help develop safe, clean and virtually limitless fusion energy for generating electricity, scientists say.
A team, including researchers from Princeton University and Harvard University, are applying deep learning to forecast sudden disruptions that can halt fusion reactions and damage the doughnut-shaped tokamaks or apparatus that house the reactions.
Deep learning is a powerful new version of the machine learning form of AI, according to the findings published in the journal Nature magazine.
“This research opens a promising new chapter in the effort to bring unlimited energy to Earth,” Steven Cowley, director of US Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL).
“Artificial intelligence is exploding across the sciences and now it’s beginning to contribute to the worldwide quest for fusion power,” Cowley said in a statement.
Fusion, which drives the Sun and stars, is the fusing of light elements in the form of plasma — the hot, charged state of matter composed of free electrons and atomic nuclei — that generates energy.
Scientists are seeking to replicate fusion on Earth for an abundant supply of power for the production of electricity.
“Artificial intelligence is the most intriguing area of scientific growth right now, and to marry it to fusion science is very exciting,” said William Tang, a principal research physicist at PPPL.
“We have accelerated the ability to predict with high accuracy the most dangerous challenge to clean fusion energy,” Tang said.
Unlike traditional software, which carries out prescribed instructions, deep learning learns from its mistakes.
Accomplishing this seeming magic are neural networks, layers of interconnected nodes — mathematical algorithms — that are “parameterised,” or weighted by the programme to shape the desired output.
For any given input the nodes seek to produce a specified output, such as correct identification of a face or accurate forecasts of a disruption.
Training kicks in when a node fails to achieve this task: the weights automatically adjust themselves for fresh data until the correct output is obtained.
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