Huawei Mate 20 Pro Launched

 
Last week Huawei announced the Mate 20 Pro and it brings together all of the greatness of Huawei into a single device that is going to be tough to beat. The Mate 20 Pro includes the first Android 7nm process chipset with the Kirin 980 (Apple's A12 Bionic also uses the 7nm process), two Neural Processing Units, a fourth-generation image signal processor, and a LTE Cat.21 modem.

The triple rear camera capability from the Huawei P20 Pro is brought to the Mate 20 Pro, but in a different central two-by-two arrangement with one change made to one of the three lenses. The three rear cameras have 40MP, 20MP, and 8MP resolution with a 24MP front-facing shooter and artificial intelligence to help you capture great shots. The monochrome lens has been replaced with a wide-angle lens so that you now have telephoto, wide-angle, and standard camera functionality.


A large 6.39 inch OLED is on the front with cool Midnight Blue, Emerald Green, Black, Pink Gold, and Twilight color options for the device. Android 9.0 Pie powers things while EMUI has been updated to version 9.0.

One interesting move from Huawei is the inclusion of an external storage card slot using its own new nano memory card rather than standard microSD cards. We also see one of the first fingerprint scanners embedded right into the display. Huawei is known for very long battery life and massive batteries so the 4,200 mAh battery is no real surprise, but much appreciated.

We will soon have a review and other articles on this new flagship from Huawei. The 6GB RAM/128GB internal storage model is priced at €1049 and is available now in countries outside the US.

Ring Smart Home Security System

 
Home security systems have been around for decades, providing a way to have your home monitored for intrusions and emergencies while you’re away or sleeping. But traditional home security systems have required professional installation, costly subscription plans, and long-term contracts that lock you in to the service. They’ve not been practical to move from home to home or for use in apartments.

Thanks to advances in sensors and other smart home technology, the landscape of home security systems is changing dramatically. It’s now possible to install a professionally monitored system in your home yourself in just a matter of minutes. You can even bring the system along with you when you move to another house or apartment. And the cost for these new systems is far less than traditional home security plans.

Ring’s Alarm, which is finally shipping to customers starting today, is the latest in these new, do-it-yourself home security systems. It’s most similar to the Secure system that Nest released last year, and uses a variety of motion, entryway, and fire / carbon monoxide sensors, along with Ring’s other home security cameras to monitor your home for emergencies and intrusions.

The Alarm system does not have as many bells and whistles as Nest’s system, nor does it have some of the conveniences Nest provides. But at $199 for the starter bundle, which includes the necessary hub, a keypad, a motion detector, a contact sensor for doors or windows, and a range extender, plus $10 per month for professional monitoring, Ring’s system is significantly cheaper than Nest Secure (which was just recently reduced to $399 for its starter kit) and is one of the least expensive home security systems you can purchase.

Neural Compute Stick USB



Intel has launched the next version of its Neural Compute Stick, a simple USB device that the company says can greatly accelerate AI processing and deep learning inference on consumer PCs. It is aimed at use cases where neural networks need to be deployed without a connection to cloud-based computing resources. The new Neural Compute Stick 2 uses the Intel Movidius Myriad X VPU (visual processing unit). Intel acquired Movidius, a computer vision processing startup, in 2016. The device is priced at $99 (approximately Rs. 7,137).

The Neural Compute Stick 2 is slightly larger than a thumb drive and plugs into a standard USB 3.0 port. The device is fanless and does not require additional power. It can be used with pre-trained neural networks for smart cameras, IoT devices, robotics, drones, and VR hardware. It can also be used to test AI models “at the edge”, which means on a local machine rather than in the cloud, for quick turnaround or when sensitive data cannot be sent to a remote server. Intel has previously showed demos of the first-gen Neural Compute Stick recognising and classifying people and objects in a video stream in real-time, which could be used in security applications or for traffic management when low latency is important.

Intel claims up to 8X better performance in certain situations with the Neural Compute Stick 2 compared to its predecessor. The Myriad X VPU has a dedicated neural compute engine, 16 programmable compute cores, and logic for processing dual 720p video streams. The device currently works with Linux on standard PCs or Raspberry Pi computers, but Intel has said that support for Windows ML is coming soon. The Tensorflow and Caffe frameworks are supported, and Intel distributes its own version of the OpenVino toolkit for accelerating computer vision performance.
According to Intel, 43 percent of AI tasks will need to be processed at the edge rather than in the cloud by 2023, and there will be a 15X growth in the number of edge devices that support AI processing. The company expects AI capabilities to become an important part of client PC workloads in the future. Nearly 70 percent of Indian companies might deploy AI by 2020, according to the company's research.

In addition to its acquisition of Movidius, Intel also bought AI startup Nervana Systems and deep learning company Vertex.AI over the past few years. Intel also recently said it had sold over $1 billion worth of AI-capable processors in 2017. The company recently held an AI DevCon conference in Bengaluru where it announced that it has trained over 99,000 Indian students, teachers and developers in AI and is working on improving the accessibility of AI development tools in India.

Introduce Qualcomm Snapdragon 410, 64-bit Processor for Low End Segment




It did not take long for the world of mobile processor manufacturers to follow in the footsteps of Apple by producing a 64-bit processor. The first company to follow Apple's lead product is a Qualcomm Snapdragon 410 Processor.

This processor has just introduced by using 64-bit technology. Although it comes with high technology, this device is intended for middle and lower segments. This processor was eventually going to be found on a mobile device at a price less than 150 USD.

With the price is cheap, does not mean that the processor provides cheap quality. Snapdragon Processor 410 provides some additional features such as LTE networks as well as an increase in graphics features.

Previously, 64-bit processors could become one of the top ribbing material Qualcomm. And due to the olokannya, high officials named Anand Chandrasekher Qualcomm and have to be willing to step down.

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