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Redmi 9 Prime is set to go on sale in India today. The device was launched during the big Amazon Prime Day sale, but now it is available to buy from Mi.com and Amazon India both. The sale will begin at 12pm (noon) and will go on till the stocks last. Key features of the Redmi 9 Prime include a large 5,020mAh battery with 18W fast charge support. The phone is equipped with a MediaTek Helio G80 SoC and offers a quad-camera setup at the back.

Redmi 9 Prime price in India, sale offers

The sale of the Redmi 9 Prime, as mentioned, will begin at 12pm (noon) on Amazon.in and Mi.com both. The device will be available in four colour options – Matte Black, Mint Green, Sunrise Flare, and Space Blue. The Redmi 9 Prime is priced in India starting at Rs. 9,999 for the 4GB RAM + 64GB storage option and Rs. 11,999 for the 4GB RAM + 128GB storage option.

Sale offers for the Redmi 9 Prime from Amazon.in include no-cost EMI options and 5 percent instant discount on HSBC cashback card.

Redmi 9 Prime specifications

The dual-SIM Redmi 9 Prime runs on Android 10 with MIUI 11 on top and features a 6.53-inch full-HD+ IPS display. It is powered by the octa-core MediaTek Helio G80 SoC, paired with 4GB DDR4x RAM. Xiaomi has provided up to 128GB of onboard storage on the Redmi 9 Prime that is expandable via microSD card (up to 512GB).

Redmi 9 Prime has a quad rear camera setup that includes a 13-megapixel primary image sensor, an 8-megapixel secondary ultra-wide-angle lens, a 5-megapixel macro shooter, and a 2-megapixel depth sensor. For selfies, there is an 8-megapixel camera sensor at the front.

The Redmi 9 Prime packs a 5,020mAh battery that supports 18W fast charging. Connectivity options include 4G VoLTE, Wi-Fi 802.11ac, Bluetooth 5.0, GPS/ A-GPS, IR blaster, and a USB Type-C port. The phone also has the rear-mounted fingerprint sensor.


Is Redmi Note 9 the perfect successor to Redmi Note 8? We discussed this on Orbital, our weekly technology podcast, which you can subscribe to via Apple Podcasts, Google Podcasts, or RSS, download the episode, or just hit the play button below.

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Vivo V20 Pro 5G Launched in India With Snapdragon 765G SoC, Dual Selfie Camera: Price, Specifications

vivo v20 pro 5g 1606893901447

Vivo V20 Pro 5G has finally launched in India after many teasers. This phone sits alongside the already launched Vivo V20 and Vivo V20 SE in the series. The Vivo V20 Pro 5G offers a Qualcomm Snapdragon 765G SoC and has a triple camera setup at the back with a 64-megapixel primary sensor. The phone also has a dual selfie camera setup with a 44-megapixel primary sensor inside a display notch. Vivo V20 Pro 5G was first unveiled in Thailand in September.

Vivo V20 Pro 5G price in India, sale

The new Vivo V20 Pro 5G is priced in India at Rs. 29,990 for the sole 8GB RAM + 128GB storage option. It will be available via Amazon, Flipkart, Vivo India e-store, Paytm Mall, Tata Cliq, and Bajaj Finserv EMI store. Online offers include an instant Rs. 2,000 off on ICICI Bank credit and debit card transactions, Rs. 2,500 extra off on exchange, V-Shield complete mobile damage protection, and no-cost EMI options of up to 12 months. The phone has been made available in Midnight Jazz and Sunset Melody colour options.

It will also be available via offline stores including Croma, Reliance Digital, Jio exclusive stores, Sangeetha, Vijay Sales, Poorvika, Big C, and LOT. Offline offers on the Vivo V20 Pro 5G include 10 percent cashback on ICICI Bank, Bank of Baroda, and Zest cards. There’s also a one-time screen replacement, Jio benefits worth Rs. 10,000, and financing options from HDB, Home Credit, and Bajaj Finserv. Buyers can also opt for the Vivo Upgrade plan that offers 80 percent buyback money guarantee.

Vivo V20 Pro 5G specifications

The new Vivo V20 Pro 5G has a dual-SIM (Nano) slot and runs on Android 10-based FunTouch OS 11 software. The phone features a 6.44-inch full-HD+ (1,080×2,400 pixels) AMOLED display with a wide notch. It is powered by the Qualcomm Snapdragon 765G SoC paired with 8GB RAM. Internal storage is listed to be 128GB.

Vivo V20 Pro has a triple rear camera setup that houses a 64-megapixel primary Samsung ISOCELL GW1 sensor with an f/1.89 lens — along with an 8-megapixel secondary sensor with an f/2.2 ultra-wide-angle lens and a 2-megapixel monochrome sensor with an f/2.4 lens. The dual selfie camera setup has a 44-megapixel primary sensor with an f/2.0 autofocus lens and an 8-megapixel secondary sensor with an f/2.28 ultra-wide-angle lens that has a field of view (FoV) of 105 degrees.

Coming to the battery, the Vivo V20 Pro 5G has a 4,000mAh battery that supports 33W FlashCharge fast charging. Connectivity options for the phone include 5G, 4G LTE, Bluetooth v5.1, dual-band Wi-Fi, GPS/ A-GPS/ NavIC, and a USB Type-C port. It also has an in-display fingerprint scanner. Other sensors include accelerometer, ambient light sensor, proximity sensor, e-compass, and gyroscope. The dimensions measure at 158.82×74.20×7.39mm and the Vivo V20 Pro 5G weighs only 170 grams.

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AWS re:Invent Day 1: Top 5 announcements include machine learning, storage innovations, and container capabilities

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CEO Andy Jassy covered 24 new product announcements in his three-hour keynote on the first day of the virtual Amazon Web Services event.

Aurora is the fastest growing service in the history of AWS, CEO Andy Jassy said in announcing the next version of Amazon Aurora Serverless at AWS re:Invent.

The newest products and services from Amazon Web Services (AWS) extend cloud tools and services to on-prem installations, reduce the cost of machine learning operations, and create more storage options. AWS CEO Andy Jassy announced 24 new capabilities during the keynote at the first day of AWS re:Invent which is a virtual event this year. The news covered everything from customer service platforms and computer vision algorithms to machine learning operations and serverless deployments.

Jassy said the company has been focused on listening to customers and inventing more options for instances, containers, and serverless deployments. Reducing costs is always a priority as well, he said, so AWS engineers looked for ways to make common operations more cost efficient.

Here is a look at all the product news AWS announced today.

More support for machine learning

Jassy said that machine learning has been growing rapidly, and a lot of the costs are related to inference, not necessarily training the data initially. He said that cloud providers have not focused on reducing those costs. 

“Alexa has reduced their cost of inference by 30% and lowered their latency by 25% using our Inf1 instances,” he said.

SEE: Cloud data storage policy (TechRepublic Premium)

AWS is also working on reducing costs for training models with Habana Gaudi-based Amazon EC2 instances that will be available in 2021. AWS Trainium is another option for reducing costs and will be available in the second half of 2021. 

The company also announced five new industrial machine learning services:

  • Monitron for end-to-end machine monitoring that includes sensors, gateway, and machine learning service to detect abnormal equipment conditions that may require maintenance
  • Lookout for Equipment to give customers with existing equipment sensors the ability to use AWS machine learning models to detect malfunctions
  • AWS Panorama Appliance for customers with existing cameras in industrial facilities to use computer vision to improve quality control and workplace safety
  • AWS Panorama Software Development Kit (SDK) to allow industrial camera manufacturers to embed computer vision capabilities in new cameras
  • Lookout for Vision to use AWS-trained computer vision models on images and video streams to find flaws in products or processes

Axis, ADLINK Technology, BP, Deloitte, Fender, GE Healthcare, and Siemens Mobility are using these new machine learning services, according to a press release.

Bringing cloud container capabilities on prem

Jassy claimed that two thirds of the containers in the cloud run on AWS. AWS has three offerings for containers: Elastic Kubernetes Service, Elastic Container Service, and Fargate.

He said all three offerings continue to grow like weeds, and that many customers use all three services to accommodate a particular team or use case.

Jassy said customers have requested options to manage containers on premises as they make the transition to the cloud. The four new container capabilities announced today extend the same cloud tools to on-prem containers:

  • ECS Anywhere enables customers to run Amazon Elastic Compute Services in their own data centers
  • Amazon EKS Anywhere provides the ability to run Amazon Elastic Kubernetes Services in their own data centers
  • AWS Proton provides a new service to automate container and serverless application development and deployment
  • Amazon Elastic Container Registry Public provides developers a way to share and deploy container software publicly

New storage innovations

In his keynote presentation, Jassy emphasized the need to constantly reinvent products and services and to build what customers want. He said Amazon customers have been asking for more options for global content distribution, storage compliance, and data-sharing. These four storage innovations announced Tuesday meet those needs: 

  • Amazon EBS io2 Block Express volumes: A storage area network (SAN) built for the cloud, with up to 256,000 IOPS, 4,000 MB/second throughput, and 64 TB of capacity
  • Next-generation Amazon EBS Gp3 volumes: A new iteration that gives customers the ability to provision additional IOPS and throughput performance independent of storage capacity and is priced 20% lower per GB than previous generation volumes
  • Amazon S3 Intelligent-Tiering: Now includes S3 Glacier Archive and Deep Archive access to existing Frequent and Infrequent access tiers to automatically reduce storage costs for objects that are rarely accessed
  • Amazon S3 Replication (multi-destination): The ability to replicate data to multiple S3 buckets simultaneously in the same AWS Region or any number of AWS Regions 

Supporting a move to serverless installations

Aurora is the fastest growing service in the history of AWS, Jassy said in announcing the next version of Amazon Aurora Serverless

SEE: Top cloud providers in 2020: AWS, Microsoft Azure, and Google Cloud, hybrid, SaaS players (TechRepublic)

This new capability is designed in part to make it easier to migrate from SQL Server to Amazon Aurora. This new iteration includes these features:

  • Aurora Serverless v2 to accommodate hundreds of thousands of transactions in a fraction of a second, delivering up to 90% cost savings compared with provisioning for peak capacity
  • Babelfish for Aurora PostgreSQL to provide the ability to run SQL Server applications directly on Amazon Aurora PostgreSQL with little to no code changes 
  • Open source Babelfish for PostgreSQL to extend the benefits of the Babelfish for Amazon Aurora PostgreSQL translation layer which will be coming in 2021 under the permissive Apache 2.0 license in GitHub

Expanding analytics capabilities

Rahul Pathak, vice president of analytics at AWS, said in a press release that these new services represent an order-of-magnitude performance improvement for Amazon Redshift. These new services make it easier for customers to move data between data stores and to ask natural language questions in their business dashboards and receive answers in seconds, according to the company. The new options include:

  • Advanced Query Accelerator for Amazon Redshift provides a new hardware-accelerated cache to improve query performance  
  • AWS Glue Elastic Views lets developers build materialized views that automatically combine and replicate data across multiple data stores
  • Amazon QuickSight Q is a machine learning-powered capability lets users type questions about their business data in natural language and receive highly accurate answers in seconds

Five new capabilities for Amazon Connect 

Amazon Connect is the company’s customer service-in-a-box offering. John Hancock, Capital One, Intuit, Best Western, Fujitsu, GE Appliances, and Square use the service to make customer service more efficient, according to AWS. The new features announced today include

  • Connect Wisdom provides contact center agents with real-time information 
  • Connect Customer Profiles gives agents a unified profile of each customer  
  • Real-Time Contact Lens offers a new option for contact center managers to use during a call
  • Connect Tasks automates, tracks, and manages tasks for contact center agents
  • Connect Voice ID delivers real-time caller authentication using machine learning-powered voice analysis

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Skoltech scientists run a ‘speed test’ to boost the production of carbon nanotubes

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Skoltech researchers have investigated the procedure for catalyst delivery used in the most common method of carbon nanotube production, chemical vapor deposition (CVD), offering what they call a “simple and elegant” way to boost productivity and pave the way for cheaper and more accessible nanotube-based technology. The paper was published in the Chemical Engineering Journal.

Skoltech scientists run a ‘speed test to boost the production

Image credit: Skoltech/Pavel Odinev

Single-walled carbon nanotubes (SWCNT), tiny rolled sheets of graphene with a thickness of just one atom, hold huge promise when it comes to applications in materials science and electronics. That is the reason why so much effort is focused on perfecting the synthesis of SWCNTs; from physical methods, such as using laser beams to ablate a graphite target, all the way to the most common CVD approach, when metal catalyst particles are used to “strip” a carbon-containing gas of its carbon and grow the nanotubes on these particles.

“The road from raw materials to carbon nanotubes requires a fine balance between dozens of reactor parameters. The formation of carbon nanotubes is a tricky and complex process that has been studied for a long time, but still keeps many secrets,” explains Albert Nasibulin, a professor at Skoltech and an adjunct professor at the Department of Chemistry and Materials Science, Aalto University School of Chemical Engineering.

Various ways of enhancing catalyst activation, in order to produce more SWCNTs with the required properties, have already been suggested. Nasibulin and his colleagues focused on the injection procedure, namely on how to distribute ferrocene vapor (a commonly used catalyst precursor) within the reactor.

They grew their carbon nanotubes using the aerosol CVD approach, using carbon monoxide as a source of carbon, and monitored the synthesis productivity and SWCNT characteristics (such as their diameter) depending on the rate of catalyst injection and the concentration of CO2 (used as an agent for fine-tuning). Ultimately the researchers concluded that “injector flow rate adjustment could lead to a 9-fold increase in the synthesis productivity while preserving most of the SWCNT characteristics”, such as their diameter, the share of defective nanotubes, and film conductivity.

“Every technology is always about efficiency. When it comes to CVD production of nanotubes, the efficiency of the catalyst is usually out of sight. However, we see a great opportunity there and this work is only a first step towards an efficient technology,” Dmitry Krasnikov, a senior research scientist at Skoltech and co-author of the paper, says.

Source: Skoltech




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