He has choreographed action for Christian Bale in “The Dark Night” and for Tom Hardy in “Dunkirk” among over three dozen films in a career nearing 30 years. Hollywood’s famous action director Tom Struthers, who is now working on some high-octane stunts for Bollywood film “Race 3” in Abu Dhabi, finds Indian superstar Salman Khan no less a professional.
Race 3 marks the second time that Struthers is working with Salman, with whom he last collaborated for “Tiger Zinda Hai” — also widely shot in Abu Dhabi. He loved the experience both times.
“I think you can expect the same kind of enthusiasm and high-octane action in ‘Race 3’ as ‘Tiger…’, but there’s nothing I can tell you about (the plot),” Struthers told IANS over phone from Abu Dhabi, which is fast becoming a much-loved shooting destination for filmmakers.
He considers Salman as an actor who is sought after and “well-liked”.
“I am very fortunate that in my career I have worked with good, professional people. Salman is among the highest-paid actors in the world… I’ve worked with people like Christian Bale and Tom Hardy. I consider them to be friends and I consider them to be very, very professional.
“Never once have they been unprofessional with me. Salman is in the same category. He was kind, caring about his people, and concerned about his artistes. He cares about where he is going as an actor and about what he is doing about the character he is playing,” added Struthers, whose first tryst with Bollywood was with Nikkhil Advani’s 2013 film “D-Day”.
For “Race 3”, being directed by Remo D’Souza and starring Anil Kapoor, Jacqueline Fernandez, Bobby Deol, Daisy Shah and Saqib Saleem, apart from Salman, Struthers is choreographing the opening and closing sequences. He hopes these stunts, details of which he was guarded about, are something that the audience would love.
Struthers, along with Indian action director Anl Arasu, enlisted the help of the Armed Forces of the UAE, employing a Blackhawk helicopter, Oshkosh trucks, NIMR military vehicles, and Humvees for the shoot. twofour54 is providing the team production services as well as the support of its government and travel services department to ease the process.
The Australian stunts star, who has also worked on films like “Titanic”, “Braveheart”, “Blood Diamond”, “Inception” and “Terminator Salvation”, finds Bollywood becoming more professional with time.
“I think Bollywood is in a great place right now. They are experimenting with culturally different professionals in the camera, stunts, action-directing departments,” he said, and reminisced how, when he came on board for “D-Day”, he knew nothing about Indian films or Indian culture.
“When Nikkhil Advani called me and said he wanted to meet me, I said, ‘Why not? It will be a new experience, I will learn and you grow with experiences, so yes, absolutely’. So, I met Nikkhil and he convinced me to come to India… And rest is history, as they say.
“I enjoyed every moment in India. People have been super nice to me. I have never found anyone unpleasant. And as far as I am concerned, what more can you ask for,” he said.
Struthers had missed a chance to visit Jodhpur when the team of his mentor Christopher Nolan was in the Rajasthan city to shoot scenes for “The Dark Knight Rises”.
As for his filmography, he says it’s not purely action-heavy films that attract him.
“I love doing the action, but it’s also important for me to tell a story. I often choose films not because they have big budgets, but because I like the script, the story, the actors that are to be cast… All that is a part of what I do… I feel fortunate that I am at a stage in my career when I can do that… To pick and choose the films. It’s not just a financial game.”
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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