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iPad Air, iPad Mini 2019 Models With Apple Pencil Support Launched Starting at Rs. 34,900

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Apple is bringing back the iPad Air to further expand the iPad line-up. The Cupertino, California-based company on Monday unveiled the new 10.5-inch iPad Air as well as an upgraded iPad mini model that will succeed the company’s existing iPad mini 4. The company has ditched the numbers from the branding and is simply calling the new models as the new iPad Air and the new iPad mini respectively. According to the Cupertino-based company, the new iPad models packs the A12 Bionic chip, an advanced Retina display, and support for Apple Pencil. The iPad (2018) and both iPad Pro models will continue to be available, however the iPad mini 4 seems to have been axed.


iPad Air (2019) and iPad mini (2019) price in India
iPad Air (2019) price starts at $499 for the Wi-Fi only model, whereas the Wi-Fi + Cellular model will retail starting $629. The iPad mini starts at $399 for the Wi-Fi only model and the Wi-Fi + Cellular model will be sold starting at $529. In India, the Wi-Fi only iPad Air has been priced starting at Rs. 44,900 and the Wi-Fi + Cellular version of iPad Air will retail at Rs. 55,900.

The iPad mini pricing starts at Rs. 34,900 for the Wi-Fi only model and at Rs. 45,900 for the Wi-Fi + Cellular model. Both iPad Air and iPad mini will be offered in silver, space grey, and gold colours in 64GB and 256GB storage configurations.

 


Apple says the new iPad Air and iPad mini models are now available for orders in 27 countries via Apple.com and Apple Store app. Some of the major markets that are getting the upgraded iPad models are US, UK, Germany, Australia, Canada, Singapore, Italy, and Japan. The new iPad models will be reaching to India “soon”, though the company yet to reveal a specific release date.


iPad Air (2019) and iPad mini (2019) specifications


In terms of the specifications, the iPad Air (2019) packs a 10.5-inch LED-backlit Retina display with 1668×2224 pixels resolution. It is powered by A12 Bionic chip, which is also present in the company’s iPhone XS ? 98,199 and iPhone XS Max ? 108,424 smartphones. For imaging, the company has included an 8-megapixel f/2.4 rear camera on the tablet with five-elements lens, but there is no flash. There is a 7-megapixel front shooter as well on the device with Retina flash support.


On the connectivity front, the iPad Air packs Wi-Fi 802.11ac (Wi-Fi 5), Bluetooth 5.0, and optional LTE support. Face ID is not present, but the company has include Touch ID support.


On the other hand, new iPad mini includes a 7.9-inch LED-backlit Retina display with 1536×2048 pixels resolution. Rest of the specifications of the device seem to identical to the iPad Air.


Apple claims that iPad Air (2019) delivers a 70 percent boost in the performance and twice in graphics capabilities when compared to the iPad (2018).


Apple iPad mini (2019) is powered by A12 Bionic SoC


The company says the Apple Pencil (First Generation, which is compatible with the original iPad Pro models and the iPad 2018) will be sold separately for $99 (Rs. 8,500 in India). The Smart Keyboard for the iPad Air will be offered at $159 (Rs. 13,900 in India). Additionally, Apple will also sell Polyurethane Smart Covers for both iPad Air and iPad mini, which will retail at $39 (Rs. 3500 in India) for iPad mini and at $49 (Rs. 3700 in India) for iPad Air in charcoal grey, white, pink sand and a new papaya, with additional Leather Smart Covers available for iPad Air in black, saddle brown, midnight blue, and red at $69.


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Tech-Film

Look Smarter, Feel Healthier with “Bloom” – SmartWatch by Toreto

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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.

Features:

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.

Pedometer:

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.

Calorie Count:

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

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Mumbai youth got a job of 1.2 crores at Google office in London

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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.

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Artificial intelligence may help develop clean, limitless fusion energy

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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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