Relational deep learning (RDL) settles among the most exciting advances in machine learning for relational databases, leveraging the representational power of message passing graph neural networks (GNNs) to derive useful knowledge and run predicting tasks on tables connected through primary-to-foreign key links. The RDL paradigm has been successfully applied to recommendation lately, through its most recent representative deep learning architecture namely, ContextGNN. While acknowledging ContextGNN's improved performance on real-world recommendation datasets and tasks, preliminary tests for the more traditional static link prediction task (aka personalized item recommendation) on the popular Amazon Book dataset have demonstrated how ContextGNN has still room for improvement compared to other state-of-the-art GNN-based recommender systems. To this end, with this paper, we integrate ContextGNN within Elliot, a popular framework for reproducibility and benchmarking analyses, counting around 50 state-of-the-art recommendation models from the literature to date. On such basis, we run preliminary experiments on three standard recommendation datasets and against six state-of-the-art GNN-based recommender systems, confirming similar trends to those observed by the authors in their original paper. The code is publicly available on GitHub: https://github.com/danielemalitesta/Rel-DeepLearning-RecSys.

University of San Diego professors are developing programs to empower neurodivergent students --- those with autism spectrum disorder, ADHD, dyslexia, among other learning differences.

In the first few days of its release, Fallout – the Prime Video adaptation of the post-apocalyptic video game franchise – has become a hit with global audiences, shooting to the top of the UK chart and ranking among Prime's top three most-watched titles ever. On Friday, just a week after the show debuted in more than 240 countries and territories, Amazon announced it had renewed it for a second season. "The bar was high for lovers of this iconic video game and so far we seem to have exceeded their expectations, while bringing in millions of new fans to the franchise," the streamer said. The success of the show, which is set 200 years after a nuclear armageddon and stars Ella Purnell, Kyle MacLachlan and Aaron Moten, demonstrates the extent to which video game adaptations have improved in recent years and finally pierced the mainstream. A slew of commercial and critical hits, including last year's HBO series The Last of Us – which won eight Emmys – and The Super Mario Bros Movie – which made 1.36bn ( 1.094bn) in the global box office – has led to market experts comparing them to Marvel adaptations, which have long been big moneymakers for studios.

Sir Lucian Grainge, the chairman and C.E.O. of Universal Music Group, the largest music company in the world, is curious, empathetic, and, if not exactly humble, a master of the humblebrag. His superpower is his humanity. A sixty-three-year-old Englishman, who was knighted in 2016 for his contributions to the music industry and has topped Billboard's Power 100 list of music-industry players several times in the past decade, Grainge is compact and a bit chubby, with alert eyes behind owlish glasses. He isn't trying to be noticed. He presides over a public company worth more than fifty billion dollars, but he could be a small-business owner who sells music in a London shop, as did his father, Cecil.

For enterprises, chatbots such ChatGPT have the potential to automate mundane tasks or enhance complex communications, such as creating email sales campaigns, fixing computer code, or improving customer support. Research firm Gartner predicts that by 2025, the market for AI software will reach almost $134.8 A large part of that market will be chatbot technology, which uses artificial intelligence (AI) and natural language processing to respond to user queries. The human-like answers are in the form of prose; more sophisticated programs allow for follow-up questions and responses, and they can be modified for specific business purposes. In a report last week, Gartner spelled out possible uses for ChatGPT and its base language model GPT-3 (GPT 3.5 and 4 also exist), which can be customized.

After years in which artificial intelligence-generated content was known more for its comic absurdity--only occasionally drifting into disconcerting realism--2022 was the year that generative AI finally graduated into a full-fledged creative force. A host of realistic image generators led by research group OpenAI's Dall-E 2 made it easy for anyone to create lifelike visuals with a simple text prompt. Meanwhile, OpenAI's ChatGPT put a conversational interface on the organization's state-of-the-art text generation system, allowing users to simply instruct a machine what to write and receive a detailed and rhetorically sound--if not always factually correct--passage in seconds. These new systems, trained on datasets that span hundreds of millions of images and pages of text, respectively, have already led to widespread experimentation among brands, agencies, burgeoning startups and creative tool integrations. But experts say 2023 will be the year that brand marketers and agencies start to get serious about how synthetic content of this sort can actually be deployed to serve bottom lines and augment human creativity.

Looking to accelerate the ROI on IT's digital transformation projects, ServiceNow has delivered an offering that combines an AI-based recommendation engine with a collection of support tools and technical support. When ServiceNow started developing its new software, called ServiceNow Impact, two years ago, it interviewed 500 of its customers along with 200 software buyers. What the company learned from those conversations was the majority of organizations lacked the ability to map a strategic vision for transformation and then turn that map into an operating model. IDC estimated in a report released this month that users have spent some $3 trillion on digital transformation projects in the past three years. However, less than half of those companies said those projects delivered the expected results.

This is the second in a series of articles looking at the impact of artificial intelligence and emerging technologies in restaurants. Artificial intelligence is becoming a crucial asset in the restaurant technology playbook. But as many brands invest in consumer-facing products like automated drive-thrus and in-store kiosks, experts argue that back-of-house improvement will have the biggest impact on bottom lines. As the industry nears an AI tipping point, it's more important than ever for smaller companies to seriously consider how to implement the tech in their systems -- or risk facing serious consequences in three to five years, Aaron Allen & Associates CEO Aaron Allen told Restaurant Dive. "We see massive closures and bankruptcies and retooling of restaurants in much the same way we're seeing in retail," Allen said.

Companies are trying to find the most efficient ways to use machine learning models in their businesses. Modzy, a product of Booz Allen, is designed to make that process easier and safer for enterprises. Seth Clark, senior associate at Booz Allen, described Modzy in an interview with VentureBeat as a machine learning operationalization platform. More colloquially, it's an online store where you can find and acquire AI tools. "What we're trying to do is help organizations get AI capabilities out of the lab, off of someone's laptop, and into a production system," said Clark.

Mr. Robot creator Sam Esmail says portraying Elliot (Rami Malek) in a hooded sweatshirt was a deliberate choice: "That hoodie made us closer to who Elliot was." Mr. Robot creator Sam Esmail says portraying Elliot (Rami Malek) in a hooded sweatshirt was a deliberate choice: "That hoodie made us closer to who Elliot was." Editor's note: This interview contains a racial slur. Sam Esmail, the creator, lead writer and director of the TV series Mr. Robot, has always identified with computer programming and hacker culture -- in part because of his experiences with social anxiety. In college, he shied away from parties and instead took refuge in the computer lab. It felt safer to talk to people online than in person, Esmail says.