The mobile app development industry is taking the world by storm, with the new technologies trending across the market. Geolocation is one such trend that is predicted to reach a revenue of $40 billion by 2024 for the location-based service market, according to MarketsandMarkets report. Geolocation applications open up new opportunities for entrepreneurs to explore. They are also a gateway for the service industry to improve customer experience and interact with their user base. The rising number of location-based apps, like on-demand service apps, is proof that geolocation is quintessential to survival in the mobile app market.

Apple is continuing its string of AI startup acquisitions, this time to improve Siri's performance. The company has confirmed to Bloomberg that it recently acquired Inductiv, a Waterloo, Ontario, Canada-based company that uses AI to correct data -- which, in turn, improves machine learning. The company didn't elaborate on its plans and relied on its standard response that it "buys smaller technology companies from time to time," but Siri appears to be the focus. The iPhone maker appears to be focused on improving its voice assistant's understanding as of late, most recently acquiring Voysis to boost natural language comprehension. Cleaner data would go a long way toward that goal by reducing the chances that garbage information confuses Siri.

Upgrading from a smart speaker (like the Echo Dot) to a smart display (like the Echo Show) can be a game-changer. With a display, you can have recipes at your fingertips in the kitchen, a multi-functional digital photo frame in your living room, and easily enjoy a hands-free video chat from anywhere in the house. You can also quickly see information like the outside temperature and control your smart light switches and door locks from the touch screen. But smart displays are also great for watching your favorite shows while you work, whether you're cooking in the kitchen or putting away laundry in the bedroom. There's just one caveat: Different devices support different streaming platforms.

Recommendation system or also known as a recommender system is a tool to help the user in providing a suggestion of a specific dilemma. Thus, recently, the interest in developing a recommendation system in many fields has increased. Fuzzy Logic system (FLSs) is one of the approaches that can be used to model the recommendation systems as it can deal with uncertainty and imprecise information. However, one of the fundamental issues in FLS is the problem of the curse of dimensionality. That is, the number of rules in FLSs is increasing exponentially with the number of input variables. One effective way to overcome this problem is by using Hierarchical Fuzzy System (HFSs). This paper aims to explore the use of HFSs for Recommendation system. Specifically, we are interested in exploring and comparing the HFS and FLS for the Career path recommendation system (CPRS) based on four key criteria, namely topology, the number of rules, the rules structures and interpretability. The findings suggested that the HFS has advantages over FLS towards improving the interpretability models, in the context of a recommendation system example. This study contributes to providing an insight into the development of interpretable HFSs in the Recommendation systems.

An artificial intelligence agent named Tala may open the door on a new way of gathering feedback from New Zealand's Samoan community. The Talanoa Project is a pilot project that uses IBM's artificial intelligence virtual agent solution, Watson, to interact in real time in Samoan for public consultation and community engagement. Developed and designed by Beca, business director Matthew Ensor said it was about consulting with'the silent majority' in the public on projects and community facilities. "We don't hear so much from the people where language is a barrier, where culturally there's no tradition of responding to public consultation. "We then created a conversational agent, it's like a chat-bot and what it does is it mimics the kind of conversation that you would have with a consultation expert," Mr Ensor said. "It will ask open questions about your thoughts on different things and really lets the person lead the conversation rather than a survey form where the questions are completely scripted." Steve O'Donnell from IBM New Zealand's Managing Partner for Global Business Services said this was the first time IBM Watson Assistant had been used for public consultation in New Zealand in a language other than English. "What we are seeing now is AI being able to scale down, and drive value in many industries," he said. "IBM Watson has already transformed the world of customer service, due largely to its ability to understand human sentiment and interact naturally with people and Tala is a promising first step towards that." The Talanoa Project, part funded by Callaghan Innovation, tested Tala among a few dozen Samoan speakers, asking them for their thoughts on their local community facilities. The focus group of Samoans ranged from 19-years of age to 77 being the oldest and included Samoan elders, law students, psychologists and sociologists. "It was overwhelmingly positive the response we got back from the Samoan community," Mr Ensor said. "We had a few people share that it was great to hear technology using their native language.

Facebook today announced improvements to the shopping experiences across its platform, including Facebook Shops, a new way for businesses to set up a single online store for customers to access on Facebook and Instagram. The company characterized the new products -- all of which are powered by a family of new AI and machine learning system -- as a step toward its vision of an all-in-one AI assistant that can search and rank products, while at the same time personalizing its recommendations to individual tastes. Ecommerce businesses like Facebook Marketplace lean on AI to automate a host of behind-the-scenes tasks, from learning preferences and body types to understanding the factors that might influence purchase decisions. McKinsey estimates that Amazon, which recently deployed AI to handle incoming shopper inquiries, generates 35% of all sales from its product recommendation engine. Beyond ranking, AI from startups like ModiFace, Vue.ai, Edited, Syte, and Adverity enable customers to try on shades of lipstick virtually, see model images in every size, and spot trends and sales over time.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A Utah man was arrested on Sunday after he called police claiming he had killed a woman he met on Tinder. Ethan Hunsaker, 24, surrendered to officers from the Layton Police Department and was charged with first-degree murder. He told police he had met the 25-year-old victim late Saturday night after connecting on the dating app.

Ethan Hunsaker, 24, called 911 early Sunday to report he'd killed someone inside a home in Layton, the Layton Police Department said in a prepared statement. When officers responded to the home, they found a woman lying on the floor with multiple stab wounds to her torso. Emergency workers tried to resuscitate her, but she died of her injuries at the scene. The woman's name was not immediately released.

Artificial Intelligence …. world's tech giants from Amazon to Alibaba, are in a race to become the world's leaders. The companies are AI trailblazers, embracing AI to next-level products and services. Here are some of the best examples of how these companies are using artificial intelligence in practice. Alphabet, Google's parent company and Waymo, self-driving technology division, started as a project at Google. Waymo wishes to bring self-driving technology to the world, today, to move people around and reduce accidents and crashes.

Just 30 years ago, you would have to wait days for a bank to approve your credit. Or spend weeks bogged down by your insurance company's bureaucracy just to get a refund after a minor car accident. Today, these operations take less than a day as documents are submitted and processed online with little or no human interaction. In this article, we'll cover a set of technologies that promise to transform the whole idea of doing business in the finance world. Artificial Intelligence – is it simply a trendy phrase to put on your landing page or an innovation-ready use case? We, of course, will talk about real-life examples of using AI in several areas of the financial industry.