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CES 2019: The Future Looks Like These Robot Dogs Delivering Your Shopping To Your Doorstep

At CES, you can usually expect to see some cool stuff and some weird stuff. It's not very often that you see both in the same display, ...

CES 2019: The Future Looks Like These Robot Dogs Delivering Your Shopping To Your Doorstep

At CES, you can usually expect to see some cool stuff and some weird stuff. It's not very often that you see both in the same display, but that's what you're getting this time from Continental. The company is developing robot dogs for last-mile deliveries and they are fre-e-aky. 
CES 2019: The Future Looks Like These Robot Dogs Delivering Your Shopping To Your Doorstep

Continental robot dog

The company has set up a Continental Urban Mobility Experience (CUbE), it's a project that aims at building a "seamless mobility chain." This involves driverless vehicles to run deliveries, and an automated delivery robot to bring packages to customers' doorsteps.

The dogs in question here employ AI to self-navigate. This means they don't just go from the van to your home; they can also navigate sidewalks, steps, and even ring your doorbell. Which makes absolute sense since the delivery vans being developed are also automated.

Continental believes the technology will become crucial as online shopping continues to boom, since delivery costs are also rising with it. With a fully-robot delivery team, sellers can cut out the delivery man and driver and just get your goods straight to you. In addition, the company imagines its self-driving vans will double as public transport vehicles during slow hours, to maximise efficiency.

Continental robot dog

It's not as strange an idea as it sounds either. We've already talked about Boston Dynamics and their robot dogs. They can already navigate stairs and difficult terrain, open doorknobs and hold doors open, and they're constantly advancing in capabilities.

Heck, maybe one day your Swiggy delivery won't be a person but a robot huffing to your door with your food.

Xiaomi’s Redmi Note 7 vs Redmi Note 6 Pro: Specifications, difference in features

Xiaomi recently launched its latest generation Redmi Note 7 smartphone in China. This is the first smartphone to be a part of the new Redmi by Xiaomi sub-brand. It is a successor to the Redmi 6 series launched last December.
Xiaomi’s Redmi Note 7 vs Redmi Note 6 Pro: Specifications, difference in features
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The Redmi Note 7 comes with some interesting features like a 48MP primary sensor, a waterdrop style notched display, 4,000mAh battery and more. We compare the new Redmi Note 7 vs the Redmi Note 6 Pro, and see what has changed in terms of design, specifications and features. There’s also Redmi Note 7 Pro on the cards, but that will only be revealed in February at the time of the Chinese New Year.

click here  to buy Redmi 6 pro (black, 4GB RAM, 64GB ROM) 
click here  to buy Redmi Note 6 pro (black, 4GB RAM, 64GB ROM)
click here  to buy Redmi Note 6 pro (blue, 4GB RAM, 64GB ROM) 

Redmi Note 7 vs Redmi Note 6 Pro: Price

Redmi Note 7 will be made available in three RAM/internal storage variants. The 3GB RAM/32GB internal storage is priced at 999 Yuan (approximately Rs 10,000), 4GB RAM/64GB internal storage priced at 1,199 (approximately Rs 12,000) and 6GB RAM/64GB internal storage priced at 1,399 Yuan (approximately Rs 14,000). The company hasn’t revealed any global availability details for the same. 
Given the popularity of the Redmi series in India, this phone should make its way to the market, though how soon that happens is unclear for now.

Xiaomi Mi A2 gets price cut in India, now starts at Rs 13,999

Xiaomi Mi A2, the company’s latest Android One-branded smartphone, is getting a price cut in India. 
Xiaomi Mi A2 gets price cut in India, now starts at Rs 13,999
The 4GB RAM and 64GB storage variant will now cost Rs 13,999, down from Rs 15,999. The model with 6GB RAM and 128GB storage will be made available at Rs 15,999, down from Rs 18,999. The company says the updated prices will reflect on Mi.com, Amazon.in and Flipkart starting today.
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The smartphone sports 5.99-inch FHD+ 18:9 LCD display and is powered by a Snapdragon 660 processor coupled with either 4GB or 6GB RAM and 64GB or 128GB storage. Unfortunately, the phone does not support a microSD card slot and a 3.5mm headphone jack.
In terms of camera, the handset comes with dual cameras on the rear. The setup consists of a 12MP primary cameras and 20MP secondary snapper. Given this phone is Android One-branded, the handset runs a pure version of Android and guaranteed security updates for the next 2 years. Mi A2 runs on Android 9.0 Pie, the latest version of Android. Originally, Mi A2 shipped with Android 8.1 Oreo.
click on below given link to buy this phone:
Redmi Mi a2, (black 4GB Ram 64GB Rom)
Redmi Mi A2 (black 6GB Ram, 128GB Rom)
Redmi Mi A2 (Gold 4GB Ram, 64GB Rom)
Redmi Mi A2 (Red 4GB Ram, 64GB Rom)
Redmi Mi A2 (Red 6GB Ram, 128GB Rom)

We Have Created AI That Knowingly Cheats & Keeps Data Hidden From Us, And We Should Be Worried

Artificial intelligence is fascinating, both when considering how it works and the potential it holds for various applications. The thing is, it can sometimes work in strange wayAnd if you're part of the faction insisting how dangerous AI can be, well you're not going to like this. 
We Have Created AI That Knowingly Cheats & Keeps Data Hidden From Us, And We Should Be Worried.

AI

According to new research from Google and Stanford, they developed a machine learning system designed to convert aerial images into street maps and back. What's interesting though, is that they found the AI was carrying a cheat sheet to its exams.

Let me explain. The main aim of this was to develop a faster and more efficient way to convert satellite imagery into accurate maps like those of Google. TO do that, the team of researchers were using something called a CycleGAN, where the letters stand for Generative Adversarial Network. It's a type of neural network that's taught, through a lot of experimentation, to convert one type of image into another and back as accurately as possible. GAN here just means its divided into two pieces that work against each other in competitive fashion to speed along the process.

The thing is, the neural network was doing really well in early results. Far too well, in fact. What tipped the researchers off though was how some details that were omitted for the conversion to a street map suddenly reappeared when reconverting to an aerial image, contrary to logic. For instance, skylights visible on the satellite photo weren't represented in any way on the street map, yet they were showing up in the reconstructed image.

AI maps

As they later discovered, the system wasn't omitting that data at all, just hiding it in the middle step using "a nearly imperceptible, high-frequency signal." See, the researchers wanted it to be able to interpret either type of map and convert it to the other. However, what they were grading results on was how close the reconstructed map was to the original and how clear the street map was.

So, instead of learning how to convert and reconvert, the system realised an easier way would be to hide the data it would later need in the intermediate result. It used thousands of tiny differences in colour wavelength changes to store this, something humans can't see but a computer can.

It's not that the AI here is smarter than it was intended to be, it just found a way to avoid the actual task it was given. After all, if given only the job of converting a street map to an aerial view, it would fail spectacularly without a cheat sheet. And all because the researchers didn't properly think of the loopholes it could use.

AI maps

It's a harmless demonstration of AI's flaws, but one reason why the dangers it poses are illustrated as valid concerns. AI is unlikely to "rise up" and dominate humans. But they can go horribly wrong when their creators haven't adequately considered all the varying factors at play.

Why Electric Cars Have A Single Gear And How It Is Better Than Multiple Gears In Petrol Cars

Electric vehicles universally have a single gear ratio. In layman terms, this can be equated to an automatic transmission. Time and again, many have wondered why, as their internal combustion engine (ICE) counterparts use multiple gear ratios to attain the same amount of engine power. In case you have too, here is the simple reason why the electric drivetrains do not require a similar gear shift.

Why Electric Cars Have A Single Gear And How It Is Better Than Multiple Gears In Petrol Cars

Electric Cars, Electric Vehicles, Electric Vehicles Gear Shift, Electric Cars Single Gear, Electric

To understand this, you will have to consider the gear shifting requirement as a limitation. Multiple gear ratios are generally used to keep the engine in its power band as the ICE can only generate usable torque, and hence power, in a narrow band of engine speeds. This is an understandable phenomenon as any reciprocating engine comes with its own set of physical restrictions that limit its power and revolution rate. To overcome this, the multiple gears reset the rpm every time a gear is shifted

Now keeping the electric drivetrains in perspective, since there are almost next to no mechanical parts involved, electric motors do not face any such limitation. They are able to produce 100 percent of their torque at very low speeds. As the pedal is pressed and the rpm increases, the torque of these vehicles falls off in a linear proportion just as the power rises. To put these into an application, torque is crucial for acceleration while power helps maintain the speed of the vehicle. Hence, both of the aspects are covered without the need for a gearshift in the case of an electric motor. 

The reason why things are so easy when it comes to electric motors is the fact that they do not rely on mechanical parts to do the job. As with any mechanical engine, there is an energy loss with every corresponding transmission of power between these parts. Electric motors eliminate this by reducing the number of such parts to almost nil. In the case of Tesla for instance, the motors are connected to the motor axle and hence the movement of the car can directly be controlled by alternating the amount of current flown through the motor. The same applies at the point of reversing the car, wherein the inverter used in the car starts supplying AC instead of DC and then voila! The wheels start rotating in the opposite direction

Electric Cars, Electric Vehicles, Electric Vehicles Gear Shift, Electric Cars Single Gear, Electric

A point to note here, the speed of the electric cars are generally not limited as per the capability of the motor, meaning an equal speed can be achieved in both the drive and the reverse gears, as can be figured. These speeds are generally limited through software tweaks within the car. No wonder that the new-age electric cars have proved to be faster than the existing IC engine vehicles in all aspects.

So now that you know the reason why electric cars do not need a manual gear shift for multiple transmissions, are you ready to give up the stick in your future car, or not? Let us know in the comment section below.