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In India, actresses are pushed to marry late: Rani Mukherjee






How was it to come back to films (with Hichki) after the maternity leave?
It was great. My journey into motherhood and coming back to work was amazing, because as a professional you don’t realise how much you miss your work, unless you take a break. The experience of becoming a mother for the first time was just beautiful. After that, when I got back on set, I felt, ‘oh my god, I just belong here’, because suddenly everything just came back.
Were you nervous?
More than nervous, there was a lot of anxiety and fear. On the first day, when I left home to shoot the film, I remember I was howling in the car. I’ve always had the image of myself as a strong personality and I don’t show my emotions. Then I realised that in life it is so important to express yourself, your emotions, your fears, your anxiety, because eventually that makes you a stronger person. My fears were of leaving my daughter, Adira, behind for the first time. She was going to be without me for several hours, which she had not been since she was born. The other fear was of taking such a challenging role. Will I do justice to it? Do I really know how to act after taking a break? But when I walked in on set, it all came back in one second, and I felt I belong here.
Women tend to get swept up in life experiences.
It’s a choice that a mother makes. I feel that every woman is different, every mother is different. You can’t compare one mother to another. Everyone has different circumstances, background and reason. Our emotions and priorities are different. I’ve been in the industry for 22 years. It was high time I had my family and baby.
In the West, there is no discrimination between actors and actresses, they can go ahead, get married, have babies, and have a parallel work life. In India, strangely, women are pushed to get married late and have a baby. They want actress to be single for a longer period of time, which is strange because our heroes get married early, they have children and continue to work. But I think times are changing. It is our responsibility as actors to encourage actresses to get married early, have children and still pursue their career.
When you returned to work, did you find anything had changed in terms of workplace scenario or gender parity with regard to salary?
Siddharth (director of Hichki) was very well-planned. They all were sensitive to the fact that I just had a baby. My time was a major concern. We used to start shooting at six in the morning and wrap up by one, so I was home by Adira’s lunch time. That worked for me. In every profession, if they can be a little more accommodating for working mothers, women can pursue their careers and have a great family life as well.
In Hichki you play a teacher with Tourette Syndrome, and in Black you played a visually-impaired girl,
who is also deaf and mute. These are extremely challenging roles, based on real people. What did you take away from these experiences?
I connect with the specially-abled. What I love about them is that they are very spirited and confident, unlike how people perceive them to be. They know that there is something that god has taken away from them, but their other senses are way too strong compared to any one of us. That is the core I like to touch emotionally with the characters I play. If you see Michelle
McNally, she is very spirited, so is Naina Mathur, and she doesn’t see her disability as a roadblock.
What is your kind of feminism?
For me, feminism is to be able to live with a man along with your own individual identity, and that is a very powerful sentiment. If you have a husband who respects the kind of woman you are, individual you are, that for me is something special. A lot of times, we may talk about feminism, equality and other things, but what’s happening in your day-to-day life is most important. Changing the world is the next step.



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

The Kashmir Monitor



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.

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

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

The Kashmir Monitor



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



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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