Realme has officially announced its Valentine’s Day sale for 2024, promising a week filled with enticing offers on its popular Narzo series smartphones. The sale is scheduled to run from February 6 to February 12, exclusively on Amazon.in and Realme’s official website, realme.com. This sale event is particularly noteworthy for budget-conscious consumers looking for smartphones that do not compromise on features or performance.

The sale highlights include significant discounts on various models of the Narzo series, including the Narzo 60 Pro Series 5G, Realme Narzo 60x 5G, and Realme Narzo N55, among others. Realme is offering a mix of direct price reductions, coupon discounts, and additional bank offers to make these deals even more attractive.

For instance, the Realme Narzo 60 Pro 5G, initially priced at INR 29,999 for the 12GB+1TB variant, will see a price drop to INR 27,999, along with an additional INR 2,000 discount available through bank offers. Similarly, other variants of the Narzo 60 Pro 5G and models like the Narzo 60 5G and Narzo 60x 5G will also enjoy price cuts and bank offer discounts.

The Realme Narzo series is well-regarded for its blend of performance and value, with features such as dynamic RAM expansion, high-resolution cameras, fast charging capabilities, and distinctive designs. The Narzo 60 Pro 5G, for example, boasts 12GB of dynamic RAM, 1TB of storage, a 120Hz display, and a 108-megapixel OIS ProLight camera. Other models in the series also offer compelling specifications, including powerful chipsets, high-resolution cameras, and fast charging, all designed to cater to the needs and preferences of a wide range of users.

This Valentine’s Day sale represents a strategic move by Realme to capture the attention of smartphone buyers looking for deals on high-quality, feature-rich devices. Whether you’re in the market for a phone with advanced photography capabilities, long battery life, or immersive displays, the Realme Narzo series sale offers an excellent opportunity to acquire a premium smartphone at a more affordable price point.

As the electric vehicle (EV) market continues to expand with global sales nearing 10 million, the competition between industry giants Tesla and BYD intensifies. With 2023 seeing Tesla deliver its much-anticipated Cybertruck amidst recall challenges and BYD catching up in sales volume, the EV landscape is evolving rapidly. Here’s a rundown of the most promising electric vehicles set to hit the roads in 2024.

Kia EV3: Kia’s compact SUV, the EV3, is set to make its debut in 2024. Following the design footsteps of the EV9, it promises practicality and joy in driving. Priced between $35,000 and $50,000, the EV3 features a forward-pushed windscreen and a floating roof effect, catering to the environmentally conscious with its sustainable interior materials.

Hyundai Ioniq 5 N & Ioniq 7: Hyundai continues its innovative streak with the Ioniq 5 N and Ioniq 7. The former is a performance upgrade of the original Ioniq 5, boasting increased torque and power. Meanwhile, the Ioniq 7 is set to impress with built-in autonomous technology and an expected range similar to Kia’s EV9.

Range Rover Electric: Land Rover is finally joining the electric bandwagon with its Range Rover Electric, slated for a 2024 release. Promising a range of nearly 400 miles and featuring rapid charging, it’s set to redefine luxury in the EV sector.

Ford Explorer EV: After a slight delay, Ford’s Explorer crossover is due in summer 2024. Based on Volkswagen’s MEB platform, it offers up to 335 miles of range and an impressive interior design, promising a blend of style and functionality.

Polestar 4: The Polestar 4 is an SUV coupé with a unique design, forgoing the rear window for better aerodynamics. With a range of up to 350 miles and bidirectional charging, it’s a blend of performance and innovation.

Porsche Macan EV: Porsche is set to release its all-electric Macan in 2024. With a dual-motor setup and a range of at least 310 miles, it’s poised to continue Porsche’s legacy of performance and luxury.

Audi Q6 e-tron: Positioned between the Q4 and Q8 e-tron models, the Audi Q6 e-tron features the new Premium Platform Electric and boasts impressive performance metrics, including a zero-to-60 time of under six seconds.

Nimbus One: For the urban dweller, the Nimbus One offers a nimble and cost-effective solution. This three-wheeled EV promises a 93-mile range and a unique design perfect for navigating city streets.

BMW i4 2024: BMW is set to update its popular i4 model in 2024. With a possible increase in range and the latest infotainment system, it’s expected to be a strong contender in the luxury EV market.

Lotus Emeya & BYD Seal U: Lotus introduces the Emeya, a hyper-GT set to rival the Porsche Taycan, while BYD continues to expand its global presence with the Seal U, targeting the midsize SUV segment.

Volvo EX30: Volvo’s entry-level EX30 aims to attract new customers with its three variants offering different battery and motor configurations. It’s a move to make premium EVs more accessible.

As the EV market grows, 2024 promises a diverse and competitive range of electric vehicles. From luxury and performance to practicality and innovation, there’s an EV for every type of driver on the horizon.

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Google has recently equipped its Pixel 8 and Pixel 8 Pro devices with the ‘Circle to Search’ feature, a tool initially introduced with the Samsung Galaxy S24 series. This integration marks a significant enhancement in the Pixel lineup, offering users the ability to conduct visual searches directly from their current application, without the interruption of switching apps.

The ‘Circle to Search’ feature, which mirrors the capabilities of Google Lens, enables users to interact with their phone’s display in an entirely new way. By long-pressing the navigation bar, the screen image is frozen, allowing users to draw around an object or highlight text. This action triggers an immediate Google search, displaying results in a popup window on the screen. The ease of accessing information without leaving the app currently in use represents a leap forward in user convenience and multitasking efficiency.

This latest feature was seamlessly activated on Pixel devices without the need for a traditional software update, suggesting that Google enabled it remotely. This was verified by a Gadgets 360 staff member who noticed the new functionality on their Pixel 8, confirming the absence of a prior update installation.

The move to incorporate ‘Circle to Search’ into the Pixel 8 series aligns with Google’s broader strategy to democratize advanced search capabilities across the Android platform. The company has announced plans to extend this feature to select premium Android smartphones, indicating a push to set a new standard for on-device search across multiple brands and models.

While Pixel users can still access Google Lens through the dedicated app or via Google Assistant, the introduction of ‘Circle to Search’ offers a more direct and less disruptive route. This is particularly useful in scenarios where leaving the current app would mean losing sight of the content of interest, such as pausing a video or navigating away from a live feed.

The ‘Circle to Search’ feature comes as part of Google’s continuous efforts to enhance the user experience through AI-powered tools. These advancements not only elevate the functionality of smartphones but also reflect Google’s commitment to leading innovation in the tech industry. With the Pixel 8 and Pixel 8 Pro now on board, and the promise of other premium smartphones to follow, the Android ecosystem stands on the cusp of a more connected and intuitive search experience.

As Google expands the availability of ‘Circle to Search’, users and industry experts alike will be watching closely to see how this feature evolves and which manufacturers will be next to adopt it. This anticipation underscores the significance of such advancements in shaping the future of how we interact with our devices and access information in the digital age.

Digitalization has made its way in the data-driven century. No matter how big or small the company, everyone faces the risk offered by Data breach.Hackers had enormous amounts of new ways in order to harvest companies personal data to fetch the money. Data breach occurs when hackers gain an access on the organization database resulting in loss of data like banking details, credit card infomartion.Data breach is the major problem in the world growing digitally.

The fiver major data breach in the history are listed the information is provided to gain knowledge and to avoid the same mistake as it affects several people

Yahoo

Date: 2013-2016

Impact: Over 3 billion user accounts exposed

The first data breach of yahoo took place in 2013 and the information provided that a group of russian hackers accessed the data of the account of more than billion users . Irrespective of the attack the deal with Verizon held. The resources of Verizon played a great role in enhancing the security of yahoo and it was in 2017 after Verizon bought yahoo the actual data of 3 billion was disclosed. These breaches caused Yahoo to knock $350 million off their sales price to Verizon

Linkedin

Date: June 2021

Impact: 700 million users

Professional networking site Linkedin faced the data breach affecting 700 million users however they argued having no personal and sensitive data was being exposed the God user posted data containing personal information including email addresses, phone numbers, geolocation records, genders and other social media details. A hacker going by the moniker of “God User” exploited the site’s rules. The breach provided a way to hackers to target profile companies.

Facebook

Date: April 2018

Impact: 50-90 million users exposed

In 2018, a British consulting firm, Cambridge Analytica hacked the data of facebook users and sold it. The loophole found in the API of Facebook found the former to compile the date.The company sold the data illegally for a long term as no security forms were implemented. It was when the Federal Trade Commission (FTC) found a charge for facebook violation and poor data practice things came to an end.

Microsoft

Date: January 2021

Impact: 30,000 US companies (60,000 companies worldwide)

One of the largest cyber crimes that took place in the history of the US by gaining unauthorized access to emails from small businesses to local governments.

eBay

Date: March 2014

Impact: 145 million users

Lack of communication and poor implementation of the password-renewal process are the two main factors which resulted in the successful data breach providing the hacker an access to the main network. The financial information is stored in a separate server and as a result there are no records of financial fraud. The hacker gained access to names, addresses, dates of birth and encrypted passwords.

Prompt-based learning is an emerging class of ML model training techniques. It allows users to specify the task they want the pre-trained language model to interpret and complete in natural language. It is in contrast to traditional transformer training methods, in which models are first pre-trained using unlabeled data and then fine-tuned for the desired downstream task using labeled data.

A prompt is a natural language instruction written by the user for the model to execute or complete.

Several prompts may be required, depending on the complexity of the trained task. Prompt engineering is the process of developing the best prompt, or series of prompts, for the desired use task. In natural language processing, supervised comprehension, training AI models on input data annotated for a specific output until they can detect the underlying relationships between the inputs and outputs plays a significant role (NLP). Researchers used domain knowledge to extract information from training datasets and provide models with the guidance needed to learn from the data in early NLP models.

However, with the introduction of neural network models for NLP, the emphasis shifted from feature engineering to model architecture engineering. Neural networks enabled features to be learned concurrently with model training.

A language model trained unsupervised—that is, on unlabeled data—can solve various tasks when given a set of carefully designed prompts. However, there is a catch: learning prompt-based necessitates the selection of the most appropriate prompt to allow a language model to solve the task at hand.

Prompt learning repurposes an AI model in what way?

The traditional pre-train, fine-tune paradigm has numerous advantages over prompt-based learning. The most significant advantage is that prompting works well with small amounts of labeled data. With GPT-3, for example, it is possible to achieve high performance on specific tasks with just one labeled example. Indeed, studies have shown that a single prompt can be as effective as training with 100 conventional data points. It suggests that prompting could significantly improve training efficiency, resulting in lower costs, less energy expended, and a faster time to value for AI models. For many businesses looking to leverage and train their NLP models, prompt-based learning is a prospect. However, there are some difficulties.

Prompt Learning Challenges

Prompts can be created either manually or automatically. But, creating the perfect prompt requires understanding a model’s inner workings and trial and error.

Before we understand the impacts of cloud computing on data storage, we must first understand what cloud computing is. Here is your explanation.

Cloud computing is the on-demand delivery of IT resources over the net with pay-as-you-go pricing. Rather than purchasing, holding, and maintaining physical databases and servers, you can access technology benefits, such as computing capacity, storage, and databases, on an as-needed basis from a cloud provider like AWS.

Alliances of every kind, dimension, and enterprise use the cloud for data backup, disaster retrieval, email, virtual desktops, software effect and testing, big data analytics, and customer-facing web applications.

The three main kinds of cloud computing are Infrastructure as a Service, Platform as a Service, and Software as a Service. Each kind of cloud computing delivers different power, flexibility, and leadership to choose the right benefits for your requirements.

Here are some impacts of cloud computing on businesses and firms.

• It delivers a method for companies to handle their resources online.

• It lets enterprise entities access their data effectively, anytime and anywhere.

• It provides scalability for customers to rise and down the resource requirements of the association.

• It delivers flexibility to the clients or users to choose the services they want to utilize and pay as per use.

• Users can hold more data on it than on their local physical storage appliances.

• It enables the comfort of working and has been boosting productivity.

• Cloud has brought a process in the entertainment industry. It uses the cloud to provide the content.

• Digital forms of patients are held in the cloud by Hospitals or Healthcare assistance providers.

• The knowledge, lessons, and material used for education are stored in the cloud. Now students can access asked data anytime, anywhere.

• It allows users to appreciate network-based contact tools such as emails, messaging, and calling apps like Gmail, WhatsApp, Google Duo, and Skype that are established on cloud infrastructure.

Mobile app development has come a long way since the early days of smartphones. There are over 5 billion mobile users worldwide, and mobile apps have become an essential part of our daily lives. As a result, mobile app development has become a highly competitive and constantly evolving industry.

Cross-platform development, AI and ML, IoT, cloud integration, and security are some of the latest trends in mobile app development. User-centered design performance, testing, ASO, and regular updates are the best practices for developing mobile apps that are user-friendly, efficient, and secure.

Let’s discuss the latest trends and best practices for developing mobile apps.

1. Cross-platform development Developing an app for multiple platforms (Android and iOS) is essential to reach a wider audience. Cross-platform development allows developers to write code once and deploy it on various platforms.

2. AI and Machine Learning Integrating Artificial Intelligence (AI) and Machine Learning (ML) technologies in mobile apps can provide a personalized experience to the user. Chatbots, voice assistants, and recommendation engines are some of the popular AI and ML applications in mobile apps.

3. Internet of Things (IoT) IoT has gained much attention lately, and its application in mobile app development is significant. Mobile apps can control smart homes, wearables, and other IoT devices.

4. Cloud Integration Cloud technology has revolutionized mobile apps’ ways that are developed and deployed. Cloud integration provides scalability, reliability, and security to mobile apps.

5. With data breaches, security, and privacy have become a top priority for mobile app developers. Developers must ensure the app is secure and the user’s data is protected.

Best Practices for Developing Mobile Apps

1. User-Centered Design: The app design should be user-centered, ensuring the app is easy to use and navigate.

2. Performance: The app should be optimized for performance, ensuring it loads quickly and runs smoothly.

3. Testing: Through thorough app testing, you can ensure it works seamlessly on different devices and operating systems.

4. App Store Optimization (ASO) App Store Optimization (ASO) is crucial to ensure that the app is visible to users in the app store.

5. Regular Updates: Regular updates to the app are essential to keep it relevant and competitive in the market.

E-trade became a pressure inside the global economic system long before the pandemic struck. Consumers even commenced heading off retail stores in favor of cell transport apps. But, COVID-19 only expedited the shift to e-commerce that was already taking place.

In other phrases, we must not expect to see a curtailing of online shopping; it is going to in all likelihood, best end up more widespread. As primary outlets and e-commerce giants like Amazon double down on the technologies which have sustained their revenue streams during the pandemic, the price and comfort of the virtual economy are probably to attract large consumers now. It indicates conventional brick-and-mortar groups will maintain technological talking if they wish to stay viable inside the COVID-contextualized economy.

However, what technology is most likely to supply the best fee? In the online world, margins are too tight to deploy a bunch of structures and see what works. Outlets carefully manage their investment equipment and services, leading the quality ROI. And from a vantage point today, it looks like four key advancements are leading the e-trade fee. Right here they are:

Chatbots

Chatbots offer a conversational aspect to e-trade, allowing customers to discover what they want speedily at a low value to the retailer. As chatbot generation has refined and is better capable of ingesting and interpreting both spoken and written language, we expect them to augment the entire income method, streamline customer support, collect facts for advertising and marketing and trend prediction functions, or even generate sales leads.

Mobile Platforms

New apps and services are emerging daily, all geared toward making it easier to attract clients and improve purchasing enjoyment. The trend is so strong that some marketplace analysts have extended “m-trade,” as cellular e-commerce has been dubbed, to a new channel.

Augmented/Virtual Reality

Augmented reality (AR) and digital reality (VR) permit customers to peer themselves into new garments or at the back of the wheel of a new car. Snap Inc. estimates more than one hundred million clients have shopped with AR already, either online or in shops. The appearance of purchasing in the Metaverse is poised to be a game-changer inside the industry, bringing a brand new size of customer reviews to a target audience that possibly has now not been immersed in this degree of tech.

Artificial Intelligence

Artificial intelligence (AI) is quickly rising as a key sales and advertising device amid the COVID-19 pandemic. It is also making its way into the delivery chain, wherein it can triumph over most of the sizable hurdles stopping products from attaining customers in a well-timed fashion.

Countries are taking steps to protect their citizens’ online privacy. You can avoid fines and other penalties by staying informed about the data protection laws in the countries where your company operates.

Data has become a powerful and vital asset in the twenty-first century. It’s one of the main reasons why some well-known tech companies are happy to offer their services for free—doing so allows them to collect user data on an unprecedented scale.

Due to various factors, nearly all nations now have or are in the process of enacting data protection legislation. These laws intend to regulate how businesses collect, store, and use user data, transfer data across borders, and sell/share this data.

Data has become a significant and vital asset in the twenty-first century. It’s one of the main reasons why some well-known tech companies are happy to offer their services for free—doing so allows them to collect user data on an unprecedented scale.

Due to many factors, nearly all nations now have or are in the process of enacting data protection legislation. These laws regulate how businesses collect, store, and use user data, transfer data across borders, and sell/share this data.

Nigeria

Under the 2014 Malabo Convention, Nigeria’s Data Protection Regulation (NDPR) was issued in 2019. The NDPR provides all data subjects with nearly the same rights as the GDPR. However, its section on Administrative Sanctions in its Implementation Framework solidified its reputation as possibly one of the most stringent data protection regulations.

Canada

The Personal Information Protection and Electronic Documents Act (PIPEDA), Canada’s primary data protection law, is frequently cited as an example of a regulation designed specifically for businesses and corporations rather than a blanket piece of legislation.

Thailand

Thailand’s Personal Data Protection Act (PDPA) was supposed to take effect in May 2020. A royal decree allowed for a one-year delay to ensure that all organizations expected to be subject to it had enough time to prepare and be fully compliant.

Brazil

The Lei Geral de Proteção de Dados (LGPD) was one of the first data protection laws to take effect following the GDPR.