Kara Frederick, tech director at the Heritage Foundation, discusses the need for regulations on artificial intelligence as lawmakers and tech titans discuss the potential risks. Meta has acknowledged that it used public posts on its Facebook and Instagram platforms to train its new artificial intelligence virtual assistant. Meta President of Global Affairs Nick Clegg said that the company used only public posts and stayed clear of both private posts that were shared with friends and family as well as private messages to train the company's AI bot, according to a report from Reuters. "We've tried to exclude datasets that have a heavy preponderance of personal information," Clegg said during the company's annual Connect conference, adding that the "vast majority" of the data used was already publicly available. Mark Zuckerberg, CEO and founder of Facebook Inc., speaks during the Silicon Slopes Tech Summit in Salt Lake City on Jan. Tech companies have been under fire in recent months over reports that they have been using information from the internet with permission to train AI models, which are capable of sorting through a massive amount of data. "AI's need staggering amounts of training data, so user posts are an ideal way to'feed the beast,'" Christopher Alexander, chief analytics officer of Pioneer Development Group, told Fox News Digital.

A Chicago man was arrested for allegedly holding a woman he met on a dating app against her will and beating her. A Florida man got more than he bargained for after his dating app match set him up to get carjacked, police said. The Titusville Police Department said that 24-year-old Brionna Eaddy and an unidentified 35-year-old Orlando man decided to meet in-person Sept. 24 at an apartment complex after communicating over the Tagged dating app. Brionna Eaddy, 24, was booked into the Brevard County jail on an armed carjacking felony charge Saturday after a warrant was issued for her arrest. According to the affidavit, obtained by FOX 35 Orlando, the pair drove to a nearby park in the victim's 2013 Mazda CX9.

While dating apps were once seen as taboo, they're now one of the most popular ways for couples to connect. Whether it's Tinder, Bumble, or even Singles With Food Allergies, figures show that a third of marriages begin online. But a new study suggests that if you want a happy marriage, swiping right isn't the best way to go. Researchers from Arizona State University say that couples who meet on dating apps are unhappier in their marriages than people who meet in the real world. 'The results support an online dating effect, particularly by showing that people who meet in online dating report different levels of satisfaction and stability than those who meet offline,' the researchers said.

Social recommendations utilize social relations to enhance the representation learning for recommendations. Most social recommendation models unify user representations for the user-item interactions (collaborative domain) and social relations (social domain). However, such an approach may fail to model the users heterogeneous behavior patterns in two domains, impairing the expressiveness of user representations. In this work, to address such limitation, we propose a novel Disentangled contrastive learning framework for social Recommendations DcRec. More specifically, we propose to learn disentangled users representations from the item and social domains. Moreover, disentangled contrastive learning is designed to perform knowledge transfer between disentangled users representations for social recommendations. Comprehensive experiments on various real-world datasets demonstrate the superiority of our proposed model.

Knowledge Distillation (KD), which transfers the knowledge of a well-trained large model (teacher) to a small model (student), has become an important area of research for practical deployment of recommender systems. Recently, Relaxed Ranking Distillation (RRD) has shown that distilling the ranking information in the recommendation list significantly improves the performance. However, the method still has limitations in that 1) it does not fully utilize the prediction errors of the student model, which makes the training not fully efficient, and 2) it only distills the user-side ranking information, which provides an insufficient view under the sparse implicit feedback. This paper presents Dual Correction strategy for Distillation (DCD), which transfers the ranking information from the teacher model to the student model in a more efficient manner. Most importantly, DCD uses the discrepancy between the teacher model and the student model predictions to decide which knowledge to be distilled. By doing so, DCD essentially provides the learning guidance tailored to "correcting" what the student model has failed to accurately predict. This process is applied for transferring the ranking information from the user-side as well as the item-side to address sparse implicit user feedback. Our experiments show that the proposed method outperforms the state-of-the-art baselines, and ablation studies validate the effectiveness of each component.

Amazon's second Prime-related event for 2023 is officially called Prime Big Deal Days and will happen October 10 and 11. This is the second year in a row for a fall-based, site-wide Amazon sale and we're already seeing discounts pop up. You'll need a Prime membership to access many of the deals, though a few are available to everyone. This week, there are early Prime Day deals on the AirPods Pro, Amazon's Echo Dot, Amazon Music Unlimited, Eero 6 mesh Wi-Fi systems, Ring Video Doorbells and security systems and Amazon Fire Omni smart TVs. Here are the best early October Prime Day deals you can get right now.

Amazon's Echo Show smart displays with Alexa voice control are already a good value next to the competition, but a big smart display sale is making them even cheaper. The Show 5 is the least expensive, on sale right now for just $40, or 53 percent off the regular price -- a great deal for Alexa capability with a display. And if you need a larger screen, the Echo Show 8 is priced at just $60 (54 percent off) and the Echo Show 10 is $160, for a savings of 36 percent. The Echo Show 5 scored a very solid 85 score in our Engadget review, as it's small size is ideal if don't have a ton of space on your desk, nightstand or countertop. It has a 5.5-inch, 960 x 480 resolution display that shows things like weather forecasts, calendar events, photos and more. The 2MP camera can be used to video chat with friends and family, but it can also be used as a makeshift security camera of sorts.

To ensure that citizens, including young people, become responsible users and creators of intelligent solutions, there has been increasing attention towards incorporating artificial intelligence (AI) curricula, including NLP, into 21st century computing education [11, 46, 54]. Children are growing up with NLP-powered applications, making them ideal learning platforms. For example, conversational agents have been demonstrated to enhance engagement in reading [57], foster language learning [16, 56] and promote story comprehension and engagement [55]. Despite the prevalence of NLP in young people's lives, there is limited research on teaching them NLP concepts. Traditionally, AI and NLP concepts have been taught primarily in higher education [3, 32, 40]. However, research indicates that children are capable of grasping AI and NLP concepts from a young age [10, 20].

Nowadays, many platforms on the Web offer organized events, allowing users to be organizers or participants. For such platforms, it is beneficial to predict potential event participants. Existing work on this problem tends to borrow recommendation techniques. However, compared to e-commerce items and purchases, events and participation are usually of a much smaller frequency, and the data may be insufficient to learn an accurate model. In this paper, we propose to utilize social media retweeting activity data to enhance the learning of event participant prediction models. We create a joint knowledge graph to bridge the social media and the target domain, assuming that event descriptions and tweets are written in the same language. Furthermore, we propose a learning model that utilizes retweeting information for the target domain prediction more effectively. We conduct comprehensive experiments in two scenarios with real-world data. In each scenario, we set up training data of different sizes, as well as warm and cold test cases. The evaluation results show that our approach consistently outperforms several baseline models, especially with the warm test cases, and when target domain data is limited.

With Prime Big Deal Days being a little more than one week away, Amazon has kicked things off early by discounting most of its Echo smart speakers. You can get up to 69 percent off Echo devices and bundles right now, and that goes for any Amazon shopping -- not just Prime members. Of note is the Echo Dot for $23, a record low that matches its July Prime Day price, and the Echo Dot bundled with a Kasa Smart Plug Mini for just about $1 more. Considering the Echo Dot is one of our favorite smart speakers and the Kasa accessory earned a spot on our list of best smart plugs, that bundle is an affordable way to get your smart home started. As part of a big Echo speaker sale, this bundle that includes the Echo Dot and a Kasa smart plug is 67 percent off. The Echo Dot was not one of the many Amazon devices to receive an upgrade last month during Amazon's hardware event, which means you're getting the latest model of the speaker in this sale.