Machines make use of intelligence, this intelligence is known as artificial intelligence. Think of artificial intelligence and think of life made easy and less stressful. Artificial intelligence is the simulation of intelligence into machines that are programmed to act and perform human-like actions. Artificial Intelligence has made our lives better ranging from music recommendations, mobile banking to mapping direction. In most cases, artificial intelligence can perform tasks better than humans.

Vyopta, the leader in digital collaboration and experience optimization, today announced it has achieved U.S. Federal Risk and Authorization Management Program (FedRAMP) Authority to Operate (ATO). Vyopta earned this authorization in partnership with the U.S. General Services Administration (GSA), its sponsoring agency. Vyopta is the only multi-vendor collaboration solution available in the FedRAMP Marketplace. FedRAMP is one of the most extensive security authorizations cloud services providers can achieve. It provides a standardized approach to security assessment, authorization and continuous monitoring for cloud services to ensure all federal data is secure in cloud environments.

This may be one of your best chances of scoring a smart speaker or e-reader before the holiday rush. Amazon is selling multiple recent Echo devices (plus a Kindle reader) at very low prices. To start, the fourth-generation Echo speaker is on sale for just $60 (usually $100), or the same as its Prime Day pricing. You can also buy the new Echo Show 5 for an all-time low of $55 (normally $85), while its larger Echo Show 8 counterpart has dropped to $100 (typically $130). You might also appreciate the Kindle deal if you're a book lover.

As recommendation is essentially a comparative (or ranking) process, a good explanation should illustrate to users why an item is believed to be better than another, i.e., comparative explanations about the recommended items. Ideally, after reading the explanations, a user should reach the same ranking of items as the system's. Unfortunately, little research attention has yet been paid on such comparative explanations. In this work, we develop an extract-and-refine architecture to explain the relative comparisons among a set of ranked items from a recommender system. For each recommended item, we first extract one sentence from its associated reviews that best suits the desired comparison against a set of reference items. Then this extracted sentence is further articulated with respect to the target user through a generative model to better explain why the item is recommended. We design a new explanation quality metric based on BLEU to guide the end-to-end training of the extraction and refinement components, which avoids generation of generic content. Extensive offline evaluations on two large recommendation benchmark datasets and serious user studies against an array of state-of-the-art explainable recommendation algorithms demonstrate the necessity of comparative explanations and the effectiveness of our solution.

By enabling computers to perform each task intelligently, machine learning systems can carry out complex processes by learning from data. Recent years have seen exciting advances in machine learning, which have raised its capabilities across a suite of applications. For years, Google has been using machine learning for several tasks, including Autocorrecting misspelled words or showing useful results. Whats's more, they also created an individual's virtual assistant called Google Assistant. Just Say'OK Google,' and your assistant is ready to help you perform various tasks.

Traditional high-utility itemset mining (HUIM) aims to determine all high-utility itemsets (HUIs) that satisfy the minimum utility threshold (\textit{minUtil}) in transaction databases. However, in most applications, not all HUIs are interesting because only specific parts are required. Thus, targeted mining based on user preferences is more important than traditional mining tasks. This paper is the first to propose a target-based HUIM problem and to provide a clear formulation of the targeted utility mining task in a quantitative transaction database. A tree-based algorithm known as Target-based high-Utility iteMset querying using (TargetUM) is proposed. The algorithm uses a lexicographic querying tree and three effective pruning strategies to improve the mining efficiency. We implemented experimental validation on several real and synthetic databases, and the results demonstrate that the performance of \textbf{TargetUM} is satisfactory, complete, and correct. Finally, owing to the lexicographic querying tree, the database no longer needs to be scanned repeatedly for multiple queries.

Ivan covers Big Tech, India, policy, AI, security, platforms, and apps for TNW. He likes to say "Bleh." Ivan covers Big Tech, India, policy, AI, security, platforms, and apps for TNW. He likes to say "Bleh." GitHub announced its AI-assisted code writing feature called Copilot back in June.

Gene Chao is senior vice president and general manager, enterprise computing solutions, at Unisys. Whether you're a banker, a farmer or an Uber driver, technology is a cornerstone of your business. Adopting technology is not about having cool stuff. The value of technology is in how it's applied. That may involve applying technology to improve our daily lives, enhance a vehicle or other product, or rethink the way we run a business. C-level business leaders such as chief information officers, chief technology officers and chief financial officers must strive to understand that.

The scariest part of Halloween this year could be how much we're spending on it. American's are shelling out more than $10 billion – a whopping two billion dollars more than in 2020. We're buying up everything from "Squid Game" costumes and candy corn – both top Halloween searches via Google – to TikTok-trendy must-haves like vintage decorations, scary movies and even good old fashioned snail-mail greeting cards. If the high cost of it all is more trick than treat for you, here are several ways to turn your already smart home into a spook-tacularly genius haunted house. Protect your kids' privacy: Google tool lets minors pull images of themselves from search results An estimated one in every fourpeople in America own a smart speaker and 70% of those are Amazon Echo devices, according to analytics site eMarketer.

Today's deal will eliminate that hassle from your life. Amazon is selling the SharkNinja Shark IQ AV970 robot vacuum for $250. It's not clear when the sale price will end. This robovac features Wi-Fi, and the accompanying smartphone app allows you to set schedules or start a cleaning session. It also works with Amazon's Alexa and Google Assistant for activation via voice control.