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Farhan Akhtar took a break from acting to focus on music career

The Kashmir Monitor

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Farhan Akhtar has donned several hats in his career — that of a filmmaker, a producer, an actor and a singer — but two years ago, he chose to take a break from everything else to focus on music.

Besides his acting and producing endeavours, the multi-hyphenated star has songs like “Rock On!”, “Socha Hai” and “Dil Dhadakne Do” to his credit.

After starring in his 2017 feature “Lucknow Central”, Farhan says he made a conscious decision to concentrate on his debut album, ‘Echoes’, which releases Friday.

 

“After I was done with ‘Lucknow Central’, I wanted to focus on this album without any distractions. When I act in films, I stay focused on my character. Similarly, I wanted to focus on music,” the actor-singer told PTI in an interview.

“If you don’t respect your work and don’t give that commitment, then it will reflect in your work. So, for me, it was important to put everything aside and take this album to a certain standard,” he adds.

It was in 2015, Farhan says when he felt the desire to pen down his thoughts in the form of poems and songs.

“I came at a point in my journey in 2015-16 when there was a desire to share all of it with the audience. We had been connecting with the audience through music with live concerts and I felt it is lot of fun to do. But to grow as a artiste, it is important to share an album with them.”

Three of his songs — “Why It Couldn’t Be Me”, “Seagull”, “Pain Or Pleasure” — from 11-track LP are already out and Farhan says the album is about the experiences he has lived over the years.

“It is about things that have happened in my life like falling in love, being in love, falling out of love, moving on, feeling lost, feeling elation, feeling distort, feeling optimistic and being devoid of hope, something that all of us have felt at different points in our life.”

Son of veteran lyricist and screenwriter Javed Akhtar, Farhan says he has been influenced by his father’s writing and he believes every track is a story in its own.

“What I have been influenced by is all his songs tell you a story. When you create a song from start to end, there has to be some kind of a story in your mind.

“There should be some image at the end of it which makes you understand what the song is about and the emotion that the artiste is putting out. The audience should also be able to resonate with it.”


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Tech-Film

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

The Kashmir Monitor

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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

The Kashmir Monitor

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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

The Kashmir Monitor

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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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