The COVID-19 epidemic has had a great impact on social media conversation, especially on sites like Twitter, which has emerged as a hub for public reaction and information sharing. This paper deals by analyzing a vast dataset of Twitter messages related to this disease, starting from January 2020. Two approaches were used: a statistical analysis of word frequencies and a sentiment analysis to gauge user attitudes. Word frequencies are modeled using unigrams, bigrams, and trigrams, with power law distribution as the fitting model. The validity of the model is confirmed through metrics like Sum of Squared Errors (SSE), R-squared ($R^2$), and Root Mean Squared Error (RMSE). High $R^2$ and low SSE/RMSE values indicate a good fit for the model. Sentiment analysis is conducted to understand the general emotional tone of Twitter users messages. The results reveal that a majority of tweets exhibit neutral sentiment polarity, with only 2.57\% expressing negative polarity.

The Covid-19 pandemic has had a major impact on the way companies operate and their need to implement innovative solutions in a fast paced and uncertain new world. The past year has widened the gap between organizations that were able to quickly react and implement new technologies, making smart use of data and analytics and those that struggled to keep up with the changing times. While organizations implemented numerous strategies to stay afloat, investment in artificial Intelligence (AI) has emerged as a major game changer for organizations. In fact, PricewaterhouseCooper's (PwC) 2021 annual AI Predictions Report has illustrated the importance companies' value in implementing artificial intelligence. According to the report, a quarter of the companies in the latest AI survey reported widespread adoption of AI, up from 18% the previous year, while another 54% are on their way towards implementation.

As AI rises up to the challenge, let's look at some of the ways in which artificial intelligence is supporting the healthcare industry in combating COVID-19.

The global artificial intelligence (ai) in retail market is expected to rise with an impressive CAGR and generate the highest revenue by 2026.

As covid-19 disrupted the world in March, online retail giant Amazon struggled to respond to the sudden shift caused by the pandemic. Household items like bottled water and toilet paper, which never ran out of stock, suddenly became in short supply. One- and two-day deliveries were delayed for several days. Though Amazon CEO Jeff Bezos would go on to make $24 billion during the pandemic, initially, the company struggled with adjusting its logistics, transportation, supply chain, purchasing, and third-party seller processes to prioritize stocking and delivering higher-priority items. Under normal circumstances, Amazon's complicated logistics are mostly handled by artificial intelligence algorithms.

The number of messages sent per user in New York City between April and June was three times that of San Diego, the app reported. The coronavirus pandemic has sparked a surge in online swingers across the country -- with New York City topping the list, according to a report. Threesome dating app "3Fun" reported a steady uptick in the number of messages sent between its 721,927 active users since lockdowns began in March. "Social distancing makes offline meetings tough … That means most open-minded people are trying to meet new friends online during the pandemic," spokeswoman Jennifer White said in a statement. Dating app "3Fun" reported a steady uptick in the number of messages sent between its 721,927 active users since lockdowns began in March.

The WHO intends to be one of the users of the website. Over time, access is expected to expand to include a wider group of policy makers and government officials. Thus far the site, which is password-protected and not yet available to the public, focuses on three topics. The first is the contact-tracing through mobile apps and AI of people with Covid-19. The goal of contact-tracing apps is to track, notify and isolate people who might have been exposed to the virus.

Artificial intelligence (AI) is one of the fast-growing industries in the world today, and there are several Canadian AI stocks already making a name for themselves in the sector. The industry has attracted attention from all sectors, and most companies are investing significantly in AI owing to the promise of bug returns going forward. Almost every company is now adopting AI, with over 80% of enterprises believing that AI will help them in sustaining or obtaining a competitive advantage. AI is becoming the tech everybody wants to adopt to help them grow profits and compete. Some Canadian AI stocks have already shown potential and taken the lead.

Scientists have developed an artificial eye that could provide vision for humanoid robots, or even function as a bionic eye for visually impaired people in the future. Researchers from the Hong Kong University of Science and Technology built the ElectroChemical Eye – dubbed EC-Eye – to resemble the size and shape of a biological eye, but with vastly greater potential. The eye mimics the human iris and retina using a lens to focus light onto a dense arrays of light-sensitive nanowires. Information is then passed through the wires, which act like the brain's visual cortex, to a computer for processing. During tests, the computer was able to recognise the letters'E', 'I' and'Y' when they were projected onto the lens.

Employing big data and AI prediction models could accelerate the de-confinement process by assessing each person on a risk scale. The coronavirus pandemic has been dealt in the same way by almost every country, self-isolation measures (usually implemented a few weeks too late), economic shutdown, with an aim to flatten the curve in a few months. Now, we are observing a few different ideas on how to transition back to normality. In the U.S., President Trump and several states want to re-open, stressing the economic impact of maintaining quarantine over several months. Other countries are planning a slow re-open, to avoid an even larger pandemic in the winter.