Sunday, October 25, 2020
Apple iPhone 12 Mini Vs iPhone SE 2020: The Best Small-Sized Phone
Friday, October 23, 2020
Edge computing
Edge computing is transforming the way data is being handled, processed, and delivered from millions of devices around the world. The explosive growth of internet-connected devices – the IoT – along with new applications that require real-time computing power, continues to drive edge-computing systems.
While early goals of edge computing were to address the costs of bandwidth for data traveling long distances because of the growth of IoT-generated data, the rise of real-time applications that need processing at the edge will drive the technology ahead.
What is edge computing?
Gartner defines edge computing as “a part of a distributed computing topology in which information processing is located close to the edge – where things and people produce or consume that information.”
At its basic level, edge computing brings computation and data storage closer to the devices where it’s being gathered, rather than relying on a central location that can be thousands of miles away. This is done so that data, especially real-time data, does not suffer latency issues that can affect an application’s performance. In addition, companies can save money by having the processing done locally, reducing the amount of data that needs to be processed in a centralized or cloud-based location.
Edge computing was developed due to the exponential growth of IoT devices, which connect to the internet for either receiving information from the cloud or delivering data back to the cloud. And many IoT devices generate enormous amounts of data during the course of their operations.
![Network World - How Edge Computing Works [diagram]](https://images-idgesg-net.cdn.ampproject.org/i/s/images.idgesg.net/images/article/2017/09/nw_how_edge_computing_works_diagram_1400x1717-100736111-large.jpg)
Think about devices that monitor manufacturing equipment on a factory floor, or an internet-connected video camera that sends live footage from a remote office. While a single device producing data can transmit it across a network quite easily, problems arise when the number of devices transmitting data at the same time grows. Instead of one video camera transmitting live footage, multiply that by hundreds or thousands of devices. Not only will quality suffer due to latency, but the costs in bandwidth can be tremendous.
Edge-computing hardware and services help solve this problem by being a local source of processing and storage for many of these systems. An edge gateway, for example, can process data from an edge device, and then send only the relevant data back through the cloud, reducing bandwidth needs. Or it can send data back to the edge device in the case of real-time application needs.
These edge devices can include many different things, such as an IoT sensor, an employee’s notebook computer, their latest smartphone, the security camera or even the internet-connected microwave oven in the office break room. Edge gateways themselves are considered edge devices within an edge-computing infrastructure.
Why does edge computing matter?
For many companies, the cost savings alone can be a driver towards deploying an edge-computing architecture. Companies that embraced the cloud for many of their applications may have discovered that the costs in bandwidth were higher than they expected.
Increasingly, though, the biggest benefit of edge computing is the ability to process and store data faster, enabling for more efficient real-time applications that are critical to companies. Before edge computing, a smartphone scanning a person’s face for facial recognition would need to run the facial recognition algorithm through a cloud-based service, which would take a lot of time to process. With an edge computing model, the algorithm could run locally on an edge server or gateway, or even on the smartphone itself, given the increasing power of smartphones. Applications such as virtual and augmented reality, self-driving cars, smart cities and even building-automation systems require fast processing and response.
“Edge computing has evolved significantly from the days of isolated IT at ROBO [Remote Office Branch Office] locations,” says Kuba Stolarski, a research director at IDC, in the “Worldwide Edge Infrastructure (Compute and Storage) Forecast, 2019-2023” report. “With enhanced interconnectivity enabling improved edge access to more core applications, and with new IoT and industry-specific business use cases, edge infrastructure is poised to be one of the main growth engines in the server and storage market for the next decade and beyond.
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Companies such as NVIDIA have recognized the need for more processing at the edge, which is why we’re seeing new system modules that include artificial intelligence functionality built into them. The company’s latest Jetson Xavier NX module, for example, is smaller than a credit-card, and can be built into smaller devices such as drones, robots and medical devices. AI algorithms require large amounts of processing power, which is why most of them run via cloud services. The growth of AI chipsets that can handle processing at the edge will allow for better real-time responses within applications that need instant computing.
In its predictions for 2020, Forrester also cited the need for on-demand compute and real-time application engagements would play a role in driving the growth of edge computing in 2020.
It’s clear that while the initial goal for edge computing was to reduce bandwidth costs for IoT devices over long distances, the growth of real-time applications that require local processing and storage capabilities will drive the technology forward over the coming years.
Thursday, October 22, 2020
GetResponse Review
GetResponse Review - All-in-One Solution
CANON ANNOUNCES THE RELEASE OF A NEW 250MP APS-H SENSOR
A new super-specialised 250MP APS-H sensor from Canon is coming soon. Canon itself announced the release.
Canon Japan confirmed the market launch of this new sensor in late October 2020. The 250MP APS-H sensor will be available in both color and monochrome versions. The new sensors are named LI8020SAC (color) and LI8020SAM (monochrome). Typically, this kind of sensors are employed in scientific applications.Canon has a long history in making multi-purpose or otherwise highly specialized cameras. It seems two more are going to be added. A few days ago two Canon multi-purpose cameras showed up at a Russian certification agency: the ML-100 and the ML-105. I wonder if this sensor will be featured on the ML-100 and the ML-105. Chances are good, in our opinion.
Presentation of the new sensor:
Here is the machine translated text from Canon Japan:
Main features
The new product is an ultra-high resolution CMOS sensor with approximately 250 million pixels, which enables you to capture detailed information in an image while shooting a wide range. In addition, by setting the pitch of one pixel to 1.5 μm (micrometer), we have achieved approximately 250 million pixels in APS-H size, making it possible to use it for various purposes. It can be used for various purposes such as FPD (flat panel display) inspection, which has become higher definition due to the development of 4K / 8K video technology, industrial inspection, video production, digital archive, wide area surveillance, microscope, etc. Meet the needs of users.
Get detailed information even in a wide range of shooting with ultra-high resolution of about 250 million pixels
The new product is capable of imaging at ultra-high resolution of about 250 million pixels, which is about 125 times that of full HD (1,920 x 1,080 pixels) and about 30 times that of 4K (3,840 x 2,160 pixels), and can be taken in any shooting range. Sufficient resolution can be obtained by trimming the area and enlarging it with an electronic zoom.
Achieves ultra-high-speed signal reading of approximately 1.25 billion pixels / second
With CMOS sensors, the amount of signal increases as the number of pixels increases, causing signal delays and slight timing deviations. The new product has an ultra-multi-pixel structure of approximately 250 million pixels, but by refining the circuit and advancing signal processing technology, it has achieved an ultra-high-speed signal readout of approximately 1.25 billion pixels per second. This enables ultra-high resolution imaging at a speed of approximately 5 frames / sec even when all pixels are read out.
Supports data output according to user needs with “ROI read function” etc.
The new product is equipped with a “ROI (Region of Interest) read function” that selectively reads only an arbitrary area. If you want to read only a specific area at high speed, you can use the “ROI read function” at 24 fps for 8K (7,680 x 4,320 pixels), 30 fps for 4K (3,840 x 2,160), and 60 fps for full HD (1,920 x 1,080). Video recording is possible. It also has a “thinning out reading function * ” that thins out the entire image area in the vertical direction to read out, so you can select the data output method that suits your needs.
*4 patterns of thinning are possible. 1/3 is about 15fps, 1/5 is about 25fps, 1/7 is about 35fps, and 1/9 is about 45fps.
Wednesday, October 21, 2020
iPhone 12 Pro so expensive in India that you can fly to Dubai to buy it, come back, and still save money
Apple had launched four new iPhones including the iPhone 12 Mini, iPhone 12, iPhone 12 Pro, and iPhone 12 Pro Max on October 13.
HIGHLIGHTS
iPhone 12 Mini, iPhone 12, iPhone 12 Pro, and iPhone 12 Pro Max were launched on October 13.
Apple discontinued the iPhone 11 Pro and iPhone Pro Max after iPhone 12 launch.
iPhone 12 Pro costs Rs 1,19,900 in India for the base variant.
Apple launched four new iPhones including the iPhone 12 Mini, iPhone 12, iPhone 12 Pro, and iPhone 12 Pro Max. Out of all the four new releases, only two will be available in India for now- the iPhone 12 and iPhone 12 Pro. Soon after the new iPhones were announced, Apple discontinued the iPhone 11 Pro and iPhone Pro Max. The company also reduced the prices of its existing iPhones including the iPhone 11, iPhone XR, and iPhone SE.
The Apple iPhone 12 is priced starts at Rs 69,900 for the base variant whereas the iPhone 12 Pro costs Rs 1,19,900 for the base variant. Well, that is not something unexpected. Considering the previous trends, the iPhone Pro models are released with an exorbitant price tag. Now to add to the woes of people looking to buy the iPhone 12 Pro, they should know that the Apple iPhone 12 Pro is more expensive in India than in any other country. Dubai for instance sells the iPhone 12 Pro for Rs 84,000.
Now this rings a bell. The iPhone 12 Pro is comparatively cheaper in Dubai. So cheap that you can actually go to Dubai, buy the phone and come back. Let us explain the math to you for a better understanding.
iPhone 12 Pro Price in India for 128 GB: Rs 1,19,000
iPhone 12 Pro Price in Dubai for 128GB: Rs 84,000. It costs Dh 4,199 in Dubai and if you convert the currency to INR, the price comes down to almost Rs 84,000.
So, should this mean that you can go to Dubai, buy the phone and then come back? Well, if you ask me. It is not that bad an idea. The 12 Pro will go on sale from November 6. So you book a flight for Dubai from Delhi or Kolkata for November 6 or later than that, you can get the return ticket for a little over Rs 18,000.Below is the exact amount, you would be spending on your flight tickets to Dubai from New Delhi. However, the amount might change depending on the availability but this is what we found when tried booking a ticket to Dubai.
Flight ticket: Indigo Rs 17929 approx iPhone 12 Pro 128GB: 84,000 Some other expenses: Around Rs 10,000 Total: Around Rs 1,11,929 Money saved: Around Rs 8000
Now, considering that the world is battling coronavirus pandemic and the virus is in no mood to slow down, we do not encourage anyone to travel. The whole idea was to not send you to Dubai but to draw your attention towards Apple’s exorbitant pricing in India. It is no secret that the taxes and duties that are applied to imported phones are highest in India. The taxes are so high that for an important iPhone that you will end up paying an average tax of Rs 24,000 for something like an iPhone 12 or iPhone 12 Mini.
However, despite the sky-rocketing prices, iPhone still sells best in India and the buyers give whatever price Apple asks them to pay. So for a business, that is not a bad deal at all.
Xiaomi Redmi K30S specs
Xiaomi Redmi K30S
PERFORMANCE
The phone is powered by Octa-core (1x2.84 GHz Kryo 585 & 3x2.42 GHz Kryo 585 & 4x1.80 GHz Kryo 585) processor.
It runs on the Qualcomm SM8250 Snapdragon 865 Chipset. It has 6 GB, 6 GB RAM and 128 GB internal storage.
DISPLAY 📱
Xiaomi Redmi K30S smartphone has a IPS LCD display. It measures 165.1 mm x 76.4 mm x 9.3 mm and weighs 216 grams.
The screen has a resolution of 1080 x 2400 Pixels and 395 ppi pixel density.
It has an aspect ratio of 20:9 and screen-to-body ratio of 85.2%.
Camera 📷
On camera front, the buyers get a 64 MP, f/1.9, 26mm (wide), 1/1.73", 0.8µm, PDAF, 13 MP, f/2.4, 123˚ (ultrawide), 1.12µm, 5 MP, f/2.4, (macro), AF camera and on the rear, there's an 64 MP + 13 MP + 5 MP camera with features like Digital Zoom, Auto Flash, Face detection, Touch to focus.
Battery🔋
It is backed by a 5000 mAh battery.
Special
Connectivity features in the smartphone include Bluetooth, GPS, Volte, NFC and more.
Xiaomi Redmi K30S Price in India
Xiaomi Redmi K30S smartphone price in India is likely to be Rs 13,545.
Xiaomi Redmi K30S is speculated to be launched in the country on Not Announced Yet.
As for the colour options, the Xiaomi Redmi K30S smartphone may come in Cosmic Black, Lunar Silver colours.
Tuesday, October 20, 2020
Gadget Review
Dell 22 Monitor: E2218HN
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