This article was published as a part of the Data Science Blogathon. Now imagine the last time when you wished to order some clothes and what you were aware of is that you wish to get a shirt/top with polka dots as they were in fashion but once you are on amazon you struggle in finding the best design as there may be more than millions of polka dot pattern shirt in that case what you prefer is scrolling to recommended part and 40% of times you end up ordering items from recommended tabs. So this problem accounts for major purchases in e-commerce and e-content-based apps, not just these 2 the list goes on and on. This case study is built on datasets provided by www.akeedapp.com It allows customers in Oman to order food from their favorite restaurants and have it delivered to their address.

In 2022, we haven't been fully able to access the Sci-fi future with Artificial Intelligence. We don't have robots on every corner of the street yet, taking over our jobs. In fact, most of the AI we experience is running in the background of our daily tasks. Let's take a look at some applications for AI in present times: In 2022, it seems like smartphone companies can't stop talking about the quality of photos their phone takes. We've got iPhone dominating smartphone video, Pixel dominating photo's and Samsung pumping out the craziest camera hardware.

For unleashing the full potential of Artificial Intelligence (AI), contemporary leadership that can augment AI and humans instead of strategizing to replace AI with humans is the need of the hour from a balanced social, legal, economic, political, and technological perspective. It is a pre-requisite for the organization in the current scenario post-pandemic to realign the business processes with AI considering adaptability, complexity, scalability, decision making, and customization of products and services. For example, in Morgan Stanley Robo-advisors offers clients an array of investment options based on real-time market information, in Pfizer wearable sensors for Parkinson's patients, track symptoms 24/7 allowing customized treatment and in Unilever automated applicant screening vividly inflates the pool of qualified candidates for hiring managers to appraise. According to Harvard business review, it is predicted that the performance and bottom line of organizations is enhanced when humans and AI augment each other leading to enhancing life skills of individuals and teams and technical skills of machines with the right fusion of learning and development activities. Pandemic and resultant transformations have fast-tracked the mechanization of many everyday jobs, with future skepticism towards artificial intelligence (AI) adding to the increase in the rate of unemployment. In reality, if actions are taken appropriately and strategically by the organizations and government combined the reverse might be true that is AI will add to more jobs.

Smart home or automation technology that converts a home fully tech-driven with a remote program device has integrated home appliances with sensors and actuators via the internet. But the next phase of it is bound to be of Artificial Intelligence that is fast taking off in this segment. The technology available so far is able to control devices like light, fan, TV, climate, enjoyment systems, and appliances. Some common applications include lighting control, HVAC, outdoor lawn irrigation, kitchen appliances, and security systems are already part of our daily life. Read: Canada's defense scientists develop a model to enable trust in Artificial Intelligence and Autonomy (January 28, 2021) Voice control devices like Amazon Alexa or Google Home have accentuated the process to control almost every aspect of home through the Internet of Things (IoT) at a cost that ranges from $174 to $10,000, which has made repetitive daily routines easier and significantly cut down on energy costs too.

The built-in screen gives you another helpful security feature if you have an Echo Show. You can turn on the camera from anywhere to make sure everything is OK at home. With Drop In, you can pop in on your speaker or one owned by a friend or family member who has authorized access. It's an excellent way to say hello without picking up the phone. Now, you can use the Alexa app to pop into your own Echo devices. In the app, tap Communicate at the bottom of the screen, then Drop In. Choose the device you want from the list. MORE ECHO USES: 'Alexa, I want to talk to a doctor' - How to use your Echo to get medical help The Amazon Echo, a voice-controlled virtual assistant, is seen at it's product launch for Britain and Germany in London, Britain, September 14, 2016.

With their crumbly texture and smeared with clotted cream and jam, scones are a favourite treat with Brits across the UK. But despite dating back to the early 1500s, one question remains – how do you pronounce the word'scone'? Now, Amazon's smart assistant, Alexa, claims to have settled the debate, just in time for the Queen's Platinum Jubilee celebrations. Alexa claims'scone' should rhyme with'gone' rather than'own' when speaking the Queen's English. Users just need to say'Alexa, what's the correct way to pronounce scone?' to get the response: 'I pronounce it scone, to rhyme with gone, just like the Queen does.'

For people who know it exists, the ability to set location-based reminders is one of Google Assistant's most useful features. It lets them specify a location, so that they can get an alert when they arrive wherever it is -- for instance, a user can say "Remind me to call [name of their friend] in NYC," and Assistant will send them a notification when they step foot in the city. The bad news for those who rely on the feature to remind them to get certain things from the grocery store or to fill up their car tanks when they pass by a gas station is that it'll soon no longer exist. In the Assistant Help page, Google added a line that says: "The option to create reminders for a certain location is going away soon." The company trailed behind Apple and Amazon in introducing the feature and first announced the ability to set location-based reminders via Google Home devices in 2018.

The machine learning models can determine the intent of the words being used, from audio commands to windshield wipers or even finding a five-star- …

Despite serving us well for the past two decades, Web 2.0 -- the current iteration of the world wide web -- comes with its own shortcomings. And due to widespread privacy and security concerns, we're steadily entering a new digital era known as Web 3.0. Web 3.0, also known as the Semantic Web, is the next phase of the internet's evolution, promising to bring more user empowerment, openness, and privacy. Web 3.0 applications aim to achieve a higher degree of security and interoperability by building decentralized infrastructure, which removes the need for central servers. Instead, Web 3.0 applications will be running on distributed blockchain and cloud networks.

Abstract: The recently proposed Graph Convolutional Networks (GCNs) have achieved significantly superior performance on various graph-related tasks, such as node classification and recommendation. However, currently researches on GCN models usually recursively aggregate the information from all the neighbors or randomly sampled neighbor subsets, without explicitly identifying whether the aggregated neighbors provide useful information during the graph convolution. In this paper, we theoretically analyze the affection of the neighbor quality over GCN models' performance and propose the Neighbor Enhanced Graph Convolutional Network (NEGCN) framework to boost the performance of existing GCN models. First, we at the first time propose the concept of neighbor quality for both node classification and recommendation tasks in a general theoretical framework. Specifically, for node classification, we propose three propositions to theoretically analyze how the neighbor quality affects the node classification performance of GCN models.