Fox News' Eben Brown reports on how more companies are using AI technology to set retail prices based on data-driven supply and demand. A new way of using artificial intelligence to streamline traffic could soon be coming to cities across the country. Tech giant Google's new Project Green Light system is currently being used in Seattle as a way to combat the city's gridlocked streets, using the company's Maps database and AI to optimize traffic lights and suggest changes to city engineers, according to a report from CBS News. Such a system might be the ideal use for AI in its current form, according to Pioneer Development Group Chief Analytics Officer Christopher Alexander, who noted that managing traffic takes "sifting through massive amounts of data to find patterns," something that AI is perfectly capable of through the use of machine learning. This view shows the Seattle Space Needle and the downtown skyline with Mount Rainier in the background.

Currently, the issue that concerns the world leaders most is climate change for its effect on agriculture, environment and economies of daily life. So, to combat this, temperature prediction with strong accuracy is vital. So far, the most effective widely used measure for such forecasting is Numerical weather prediction (NWP) which is a mathematical model that needs broad data from different applications to make predictions. This expensive, time and labor consuming work can be minimized through making such predictions using Machine learning algorithms. Using the database made by University of Dayton which consists the change of temperature in major cities we used the Time Series Analysis method where we use LSTM for the purpose of turning existing data into a tool for future prediction. LSTM takes the long-term data as well as any short-term exceptions or anomalies that may have occurred and calculates trend, seasonality and the stationarity of a data. By using models such as ARIMA, SARIMA, Prophet with the concept of RNN and LSTM we can, filter out any abnormalities, preprocess the data compare it with previous trends and make a prediction of future trends. Also, seasonality and stationarity help us analyze the reoccurrence or repeat over one year variable and removes the constrain of time in which the data was dependent so see the general changes that are predicted. By doing so we managed to make prediction of the temperature of different cities during any time in future based on available data and built a method of accurate prediction. This document contains our methodology for being able to make such predictions.

Realiste, a leading AI developer in the real estate market has finally launched in the Middle East, changing the real-estate and housing landscape using the latest advanced technologies within all operations. Realiste is an AI-based real estate market development company committed to providing users with accurate and timely market value appraisals. The company's mission is to digitise the real estate market of every major city across the world, while offering free access to appraisals and personalised recommendations. Since launching in December 2021 it has established operations in Riyadh, Dubai, London, New York, and Moscow and are planning more expansions in the next year. Realiste has successfully fielded an application capable of monitoring the market round-the-clock and displaying the true value of real estate, as well as predicting price movements of properties for the next 6 to 12 months.

Dubai: In the last decade the MENA region has proved to be one of the world's most lucrative fields for the deployment of AI technologies. Realiste, a leading AI developer in the real estate market has finally launched in the Middle East, changing the real-estate and housing landscape using the latest advanced technologies within all operations. Realiste is an AI-based real estate market development company committed to providing users with accurate and timely market value appraisals. The company's mission is to digitize the real estate market of every major city across the world, while offering free access to appraisals and personalized recommendations. Since launching in December 2021 they have established operations in Riyadh, Dubai, London, New York, and Moscow and are planning more expansions in the next year.

Google Maps is getting an "Immersive View" that will offer users digitally rendered looks at major US cityscapes, Alphabet CEO Sundar Pichai told the audience at Google's I/O 2022 keynote on Wednesday. The new feature uses computer vision and AI to blend Maps' existing Street View function with aerial photography to create high-resolution models of the various buildings and urban features of a given location. "With our new immersive view, you'll be able to experience what a neighborhood, landmark, restaurant or popular venue is like -- and even feel like you're right there before you ever set foot inside," wrote Miriam Daniel, VP of Google Maps, in a blog post. What's more, Maps' other tools and features can be applied to the view as well, enabling users to see what the area looks like at different times of the day and varying weather conditions. Immersive View will first be available for Los Angeles, London, New York, San Francisco and Tokyo later this year, with more cities to follow.

Alterra Property and Embark are forming an alliance to create autonomous-trucking hubs across the U.S.

So as a kid growing up in the 70's I loved science fiction movies. As a kid, I imagined the future as frightening and weird. Every day would be like Black Friday at Walmart. Who can forget "Mad Max"? Riveting tales of a dystopian earth where lawlessness reigns and survival becomes a daily challenge.

Welcome back to our "Life in 2050" series! In previous installments, we looked at how accelerating change and environmental issues will affect the future of warfare, economy, education, everyday living, and space exploration (in two installments). Today, we look at how people will get from A to B by mid-century, whether it's across town, from one city to the next, or one continent to the next. Transportation is another sector that is expected to undergo a major revolution in the coming decades. In several respects, this revolution is already underway thanks to the introduction of autonomous vehicles, the wide-scale adoption of electric vehicles, the growth of renewable energy, and the advent of commercial spaceflight. Between now and 2050, these technologies and trends will accelerate and lead to the creation of new transportation infrastructure, radically different from what we know today. Of course, the infrastructure of tomorrow will be built on existing transportation networks.

If we look back on the past five years, we would find many breath-taking tech advancements. Smart cities, micro-drones, Internet of Things, connected logistics, artificial intelligence, etc. have put us on a platform where pride comes naturally. We can talk about the coronavirus pandemic and lockdowns all we want. However, we shouldn't forget one thing. Technology has empowered us with numerous advantages to fight this crisis.

Dating app Grindr has said it will remove its'ethnicity filter' that allows users to search potential matches by race. Singletons prepared to pay £12.99-a-month for the'premium' service are currently able to sort users based on their ethnicity, weight, height, and other characteristics. But less than 24 hours after its tweet supporting'Black Lives Matter' received widespread condemnation over the filter, the company has said it will delete it. Protests have rocked the US for six days following the death of George Floyd, who was filmed gasping'I can't breathe' as an officer knelt on his neck in Logan County, West Virginia. Writing on Twitter, the app said: 'As part of our commitment to (Black Lives Matter), we have decided to remove the ethnicity filter from our next release.