Digital India: Soon you will be able to purchase Wi-Fi data at a kirana store

The Centre for Development of Telematics (C-DoT) has developed a ‘public data office’ (PDO) technology solution to deliver low-cost Wi-Fi solutions. The mass PDO solution is priced at Rs 50,000.

Ever thought you could buy Wi-Fi data from your ‘kirana’ shop? Soon, that would be a possibility.

The Centre for Development of Telematics (C-DoT) has developed a ‘public data office’ (PDO) technology solution to deliver low-cost Wi-Fi solutions. The mass PDO solution is priced at Rs 50,000, says an Economic Times report.

C-DoT is a government-owned telecom research and development centre.

Small stores like local kirana shop – with help of PDO – will be able see Wi-Fi data through vouchers. These vouchers coukld be priced as low as Rs 10 also.

“The concept of PDO will enable even a thelawallah to sell low-cost Wi-Fi-based broadband services anywhere. Even a nearby kirana shop can resell data services for as low as Rs 10 or even less," C-DoT's executive director Vipin Tyagi told ET.

The vendor will get a tech solution pack including both software and hardware elements. It will include a Wi-Fi access point with e-KYC, one-time password authentication and a mechanism to manage service vouchers. A billing system will also accompany the package.

According to the report, the service will be available over a license-free ISM (industrial, scientific and medical) band.

For commercial production of the device, C-DoT plans to transfer the technology to nearly 20 manufacturing partners including Bharat Heavy Electricals (BHEL) and Himachal Futuristic Communications (HFCL).
According to C-DoT, in semi-urban or rural areas, the technology will be available in 2.4 GHz and 5.8 GHZ bands, which do not require any regulation for access.

Last month, the telecom regulatory authority of India (TRAI) had asked the Department of Telecom (DoT) to modify the internet service provider (ISP) permit rule and make cheap Wi-Fi devices in line with the government’s Digital India move.

The TRAI had recommended ‘public data offer aggregators’ (PDOAs) for license-free public Wi-Fi services. These could work with small public data officer for penetration of Wi-Fi.

Reffred From: moneycontrol

Google Introduces AI for Its Android Services That Learns from You Without Compromising Privacy

Google, the company that rules the internet, is now testing a method to leverage its machine learning with its ubiquitous presence on mobile devices. The new model they're employing is called Federated Learning, and it hopes to apply artificial intelligence to Google's services on Android without compromising user privacy.

The Federated Learning model would be downloaded directly onto a mobile device. It would then learn from data gathered by Google's apps and services, and apply this knowledge as an update to improve the experience on your phone.

Fairly straightforward so far, right? But the trick would be gathering and using this data without compromising the user's privacy. To accomplish that, the information is encrypted, anonymized, and aggregated with other users' data before being analyzed in the cloud. The combined user data is then used to improve the base model of Google's ecosystem.

But before the aggregated data is used to improve Google services on the whole, a bit of machine learning is applied locally to enhance your personal experience. This act takes place strictly on your phone, and is not shared with Google's cloud-based AI until after it's been anonymized and combined with other users' data.

The improvements made by the local AI will happen immediately, "powering experiences personalized by the way you use your phone."

On that front, the research currently being done involves the Gboard virtual keyboard app on Android. Following the Federated learning model previously described, Venture Beat explains:

To sum it up, research scientists Brendan McMahan and Daniel Ramage stated in a blog post that "Federated Learning allows for smarter models, lower latency, and less power consumption, all while ensuring privacy."

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