By combining the strengths of humans and machines, AI can help us achieve more than we could on our own. AI algorithms can analyze mountains of data with the efficiency of a hundred Sherlock Holmeses (yes, that is the plural of "Holmes"), identifying patterns and insights that humans might miss. In healthcare, this has led to breakthroughs in disease detection and treatment, and in finance, it has helped investors make better investment decisions -- because let's face it, we can't all be Warren Buffet. And let's not forget about AI-powered robots and machines, who have joined forces with human workers to increase efficiency and productivity. According to a recent report from PwC, AI has the potential to contribute a staggering $15.7 trillion to the global economy by 2030.

Incorporating knowledge graph into recommendation is an effective way to alleviate data sparsity. Most existing knowledge-aware methods usually perform recursive embedding propagation by enumerating graph neighbors. However, the number of nodes' neighbors grows exponentially as the hop number increases, forcing the nodes to be aware of vast neighbors under this recursive propagation for distilling the high-order semantic relatedness. This may induce more harmful noise than useful information into recommendation, leading the learned node representations to be indistinguishable from each other, that is, the well-known over-smoothing issue. To relieve this issue, we propose a Hierarchical and CONtrastive representation learning framework for knowledge-aware recommendation named HiCON. Specifically, for avoiding the exponential expansion of neighbors, we propose a hierarchical message aggregation mechanism to interact separately with low-order neighbors and meta-path-constrained high-order neighbors. Moreover, we also perform cross-order contrastive learning to enforce the representations to be more discriminative. Extensive experiments on three datasets show the remarkable superiority of HiCON over state-of-the-art approaches.

Artificial intelligence (AI) is transforming the marketing and advertising landscape in ways that were once unimaginable. From personalized advertisements to chatbots, AI is changing how businesses engage with customers. In this article, we explore how AI is changing the face of marketing and advertising. One of the most significant ways AI is revolutionizing marketing is through personalized advertisements. With AI, businesses can analyze customer data, such as their search history and purchase behavior, to create tailored advertisements that target specific individuals.

The truth behind dating app scams has now been exposed in new research revealing the tell-tale signs of a Tinder swindler. Scientists have pinpointed the key personality traits exhibited by romance scammers in a bid to crackdown on cybercrime. Flattery, pets names and personal questions are among the numerous ways that criminals may try to reel you in before asking for help with money. Many fraudulent accounts pose as military servicemen too - emotionally manipulating partners before demanding emergency funds. The Abertay University research comes at a time when romance tricks are surging, with many across the world being scammed out of money.

Deep learning-based recommender systems (DRSs) are increasingly and widely deployed in the industry, which brings significant convenience to people's daily life in different ways. However, recommender systems are also shown to suffer from multiple issues,e.g., the echo chamber and the Matthew effect, of which the notation of "fairness" plays a core role.While many fairness notations and corresponding fairness testing approaches have been developed for traditional deep classification models, they are essentially hardly applicable to DRSs. One major difficulty is that there still lacks a systematic understanding and mapping between the existing fairness notations and the diverse testing requirements for deep recommender systems, not to mention further testing or debugging activities. To address the gap, we propose FairRec, a unified framework that supports fairness testing of DRSs from multiple customized perspectives, e.g., model utility, item diversity, item popularity, etc. We also propose a novel, efficient search-based testing approach to tackle the new challenge, i.e., double-ended discrete particle swarm optimization (DPSO) algorithm, to effectively search for hidden fairness issues in the form of certain disadvantaged groups from a vast number of candidate groups. Given the testing report, by adopting a simple re-ranking mitigation strategy on these identified disadvantaged groups, we show that the fairness of DRSs can be significantly improved. We conducted extensive experiments on multiple industry-level DRSs adopted by leading companies. The results confirm that FairRec is effective and efficient in identifying the deeply hidden fairness issues, e.g., achieving 95% testing accuracy with half to 1/8 time.

Apple is copying Amazon's Alexa with a major change to Siri, a respected leaker claims. According to Apple tipster Mark Gurman, Siri users will soon only need to say'Siri' instead of'Hey Siri' when activating the personal assistant. The change would match Alexa, the virtual assistant from rival Amazon, which requires to users to simply say'Alexa' without the word'hey' first. It could be implemented across multiple Apple operating systems, including iOS for iPhones, as well as iPadOS, watchOS, macOS and more. Gurman has already revealed Apple is planning to unveil its mixed reality headset in less than two months.

Those who've been in the market for a video doorbell to add to their array of smart home devices may want to check out a sale on some options from Google Nest. A sale has dropped the prices of Nest video doorbells by 28 percent. That means the second-gen Nest Doorbell Wired has dropped to $130, which is a record low for that model. Nest's latest wired doorbell works with both Google Assistant- and Amazon Alexa-enabled devices. The latest iteration of the device can continuously record footage for up to 10 days at a time if you have a Nest Aware Plus subscription. A Nest Aware subscription includes 30 days of event video history and a familiar face detection function.

Smart assistants like Amazon's Alexa and Apple's Siri recognize patterns in speech using Natural Language Processing, comprehend meaning and provide a meaningful response. Search engines surface relevant results based on the similar search behaviors. For instance, when you start typing, Google not only predicts what searches may apply to your query, but looks at the whole picture rather than the exact search words. All thanks to NLP as it associates the ambiguous query to a relative entity and provides useful results. These are not the only use cases where Natural Language Processing emerges as a game changer; there are other applications as well.

The Era 300 is the second in Sonos's next-generation line of wifi hi-fis, packing six speakers into one curvaceous box capable of immersing listeners in quality sound. The speaker costs £449 ($449/A$749) and sits above the new £249 Era 100, competing directly with Apple's HomePod and other high-end speakers – premium audio at a premium price. But where the Era 100 is a compact bookshelf speaker, the Era 300 is a different animal. It needs to sit out in the open to allow it to project music outwards from its front, sides and top to fill the room with sound. The cinched-in design allows a series of speakers to fire up and out to the sides from the back half of the Era 300, projecting sound all around the listener for full stereo and new spatial audio surround sound.

CyberGuy shows you how to create and customize events in the calendar app. When the pandemic hit and so many aspects of our lives went digital, older adults had to get accustomed to using more technology like Facetime, Zoom and more. Now, older adults have become a lot more tech-savvy and even have their favorite devices that they enjoy using. Here are five tech obsessions that older adults have adopted over the last few years. Perhaps the most popular devices among older adults are ones like Apple Watches, FitBits and other products that help people keep track of their health.