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Xiaomi Mi Band 3 review: There’s more than just fitness on this tiny device

The Kashmir Monitor





Xiaomi earlier this week introduced its next generation fitness band Mi Band 3 in India. Priced at Rs 1,999, Mi Band 3 is a major upgrade over the predecessor in terms of design, features and overall specifications.
Unlike the HRX edition, Mi Band 3 has key fitness features like heart rate monitor without altering the battery life of the wearable.
Xiaomi’s Mi Band 3 has a capsule shaped 0.78-inch OLED display which is bigger and better than its predecessor, Mi Band 2. It still features the circular menu button but is less prominent, making the device more subtle. The Mi Band 3 strap is 247mm long and fits pretty easily on your wrist. Even for someone with a tiny hand like mine, I could still manage to fit it properly while the display took up my wrist completely.
We had the black colour Mi Band 3 which is also the only variant available now. It also comes in blue and orange colours which are definitely more attractive.
Xiaomi’s fitness bands have been catering to only one function, fitness. With the Mi Band 3, the company has introduced notification alerts, a feature I enjoyed using. Mi Band 3 is compatible with many apps for notifications including WhatsApp, Instagram, Facebook, Gmail, and SMSes as well.
Getting app alerts on the Mi Band 3 can be a little confusing, and took me a while to come around too. On the profile section of the Mi Fit app, tap on Mi Band 3 and you will get a menu for different app permissions. Here, you can select apps that you wish to receive notifications on the Mi Band 3.
There was no delay in messages appearing on the Mi Band 3. It doesn’t show just the alerts but displays the full message as well. You can just swipe right to read the full text of your message. I could receive and read WhatsApp, Instagram messages, and reject calls as well. You can also check notifications on the Mi Band 3 and clear them once you’re done. Mi Band 3 uses Bluetooth v4.2 for connectivity, so note that both devices need to be within close distance.
Other health-focused features on the Mi Band 3 include counting steps, calculating burned calories, and distance walked. It also tracks your sleep and you can set alarms to it. Mi Band 3 showed regular updates on all these categories. There’s also an exercise section for your workouts. ALSO?READ:?Xiaomi Mi A2 review
Xiaomi has included a heart-rate sensor on the Mi Band 3, something which was missing in the HRX-edition. The Mi Band 3 takes about 20 seconds to calculate your heart rate.
Xiaomi’s phones are known for their battery prowess. The Mi Band 3 doesn’t shy away from delivering the same. Its 110mAh battery is promised to offer juice for up to 20 days straight. The Mi Band 3 takes about an hour to fully charge. The Mi Band 3 lasted well for three days with around 20% of charge. May be not 20 days, but battery life can surely be relied on the Mi Band 3.
It also comes with 5ATM making it water resistant up to 50 metres. Xiaomi says that you can the Mi Band 3 for your regular swims. I’m not a swimmer but the Mi Band 3 did just fine with regular sink splashes and is easy to dry up too. The touchscreen also doesn’t face any delay in response.?ALSO?READ: Redmi Note 5 Pro Review
The Mi Band 3 is more than satisfactory in terms of performance. It’s like the perfect companion for your phone without burning a hole in your pocket. There are other alternatives from brands like Lenovo and GOQii. But if your pick is Xiaomi, then you should definitely go for the Mi Band 3.

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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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