The study of adverse childhood experiences and their consequences has emerged over the past 20 years. In this study, we aimed to leverage explainable artificial intelligence, and propose a proof-of-concept prototype for a knowledge-driven evidence-based recommendation system to improve surveillance of adverse childhood experiences. We used concepts from an ontology that we have developed to build and train a question-answering agent using the Google DialogFlow engine. In addition to the question-answering agent, the initial prototype includes knowledge graph generation and recommendation components that leverage third-party graph technology. To showcase the framework functionalities, we here present a prototype design and demonstrate the main features through four use case scenarios motivated by an initiative currently implemented at a children hospital in Memphis, Tennessee. Ongoing development of the prototype requires implementing an optimization algorithm of the recommendations, incorporating a privacy layer through a personal health library, and conducting a clinical trial to assess both usability and usefulness of the implementation. This semantic-driven explainable artificial intelligence prototype can enhance health care practitioners ability to provide explanations for the decisions they make.

Due to accessible big data collections from consumers, products, and stores, advanced sales forecasting capabilities have drawn great attention from many companies especially in the retail business because of its importance in decision making. Improvement of the forecasting accuracy, even by a small percentage, may have a substantial impact on companies' production and financial planning, marketing strategies, inventory controls, supply chain management, and eventually stock prices. Specifically, our research goal is to forecast the sales of each product in each store in the near future. Motivated by tensor factorization methodologies for personalized context-aware recommender systems, we propose a novel approach called the Advanced Temporal Latent-factor Approach to Sales forecasting (ATLAS), which achieves accurate and individualized prediction for sales by building a single tensor-factorization model across multiple stores and products. Our contribution is a combination of: tensor framework (to leverage information across stores and products), a new regularization function (to incorporate demand dynamics), and extrapolation of tensor into future time periods using state-of-the-art statistical (seasonal auto-regressive integrated moving-average models) and machine-learning (recurrent neural networks) models. The advantages of ATLAS are demonstrated on eight product category datasets collected by the Information Resource, Inc., where a total of 165 million weekly sales transactions from more than 1,500 grocery stores over 15,560 products are analyzed.

AI is not limited to any one industry; it is so diverse that it has an array of applications in various areas. Let's take another peek into Mark's life and discover AI's role in one of his ideal and amusing weekends. Mark is visiting his sister and her family in Montreal. He has decided to spend the whole weekend with them and his journey starts with an early morning flight. Once he is ready and having his breakfast, like a creature of habit he picks up his phone.

Amazon's Echo Dot started out as a low-cost way to dip your toe in smart home waters, and it remains that, but with upgrades like multi-room audio, stereo pairing, and Amazon Sidewalk compatibility, even seasoned smart home fans have good reason to add a Dot or two to their smart setup. There are three versions of the Dot: the Dot, the Dot with Clock, and the Dot Kids Edition. While the majority of this review will focus on the regular Dot, all of the same features can be found on the Dot with Clock and Kids Edition. The Dot with Clock is exactly what it sounds like. It has a numerical display on the front that shows the time or status of timers you've set.

When I first watched Ironman, I was thrilled with its advancement in technologies. But what hooked me to the movie was J.A.R.V.I.S. (Just A Rather Very Intelligent System). Well, what is not to like about it. The AI system was so intelligent that it painted the ironman suit with a single command. The best thing is that now we have the best AI Android apps that are making this dream come true. AI apps are there to assist the users to achieve their daily targets and accomplish their goals. Well, some of them can have completely different functionalities that will be described further.

Consumers are ready for personalization in their banking routines. A 2019 Accenture study on consumer patterns in financial services outlines four bank consumer personas: the pioneer, the pragmatist, the skeptic and the traditionalist. Of the four groups, representing 47,000 banking and insurance customers globally, only the traditionalists -- which make up about a fifth of survey respondents -- showed any true resistance toward using personalized data to help improve the customer experience. Even then, 55 percent of traditionalists still said personalization is what they wanted. Among the largest persona group, the tech-averse skeptics, 80 percent of respondents said they would be willing to share their data in return for personalized services.

Artificial Intelligence (AI) has become a promising field in recent years. Despite the disruption 2020 has delivered, the opportunities around AI show no sign of losing their momentum. AI is no more science fiction and is already being adopted by public and private organizations globally. People are far away from the mythical thought that AI robots are coming for humans. The fact is, as a society, humankind is relying more on artificial intelligence with its growth.

Many of us have already encountered artificial intelligence (AI) in product searches, online shopping processes, and out-of-home advertising. It seems to offer unlimited potential, from AI-powered automated content to predictive targeting and personalized product recommendations in real-time. AI's capability to collect and analyses vast quantities of data in record time is also a big advantage in marketing. AI is already providing guidance at many touchpoints along the customer journey with personalized content, product recommendations, and dialogue with virtual assistants such as Hallo Magenta, Amazon Alexa, or the Google Assistant. The latter uses RankBrain, a machine learning-based search engine algorithm, to increase search result precision.

This article was published as a part of the Data Science Blogathon. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the simplest to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception. Recent advancements have already led to invention that previously lived in the realm of science fiction – and we have only scratched the surface of what's possible" – JEFF BEZOS, Amazon CEO Some examples, vision-recognition systems on self-driving cars, in the recommendation engines that suggest products you might like based on what you bought in the past, speech, and language recognition of the Siri virtual assistant on the Apple iPhone. AI is making a huge impact in all domains of the industry.

We're all spending a lot more time at home lately, so when it comes to the holidays, it makes sense to give a gift that'll make the humble abode a lot more enjoyable. To that end, we've recommended an assortment of home-related goodies, from innovative kitchen gear to attractive smart speakers, to give that special someone in your life. It might not stop them from getting cabin fever, but it just might bring them a sense of home sweet home. Google's latest smart speaker is the Nest Audio, which delivers a huge upgrade over the small puck-like Nest Mini. It has automatic tuning so that its audio quality improves over time as it learns more about your loved one's listening habits and the room it's in. Your giftee can use it to play their favorite tunes, and thanks to Google Assistant, they can also ask it for info like the weather, upcoming calendar appointments or their to-do list simply by using their voice.