Link prediction is the task of inferring missing links between entities in knowledge graphs. Embedding-based methods have shown effectiveness in addressing this problem by modeling relational patterns in triples. However, the link prediction task often requires contextual information in entity neighborhoods, while most existing embedding-based methods fail to capture it. Additionally, little attention is paid to the diversity of entity representations in different contexts, which often leads to false prediction results. In this situation, we consider that the schema of knowledge graph contains the specific contextual information, and it is beneficial for preserving the consistency of entities across contexts. In this paper, we propose a novel Schema-augmented Multi-level contrastive LEarning framework (SMiLE) to conduct knowledge graph link prediction. Specifically, we first exploit network schema as the prior constraint to sample negatives and pre-train our model by employing a multi-level contrastive learning method to yield both prior schema and contextual information. Then we fine-tune our model under the supervision of individual triples to learn subtler representations for link prediction. Extensive experimental results on four knowledge graph datasets with thorough analysis of each component demonstrate the effectiveness of our proposed framework against state-of-the-art baselines. The implementation of SMiLE is available at https://github.com/GKNL/SMiLE.

Fox News national security correspondent Jennifer Griffin provides insight on responding to drone attacks in Ukraine on'America Reports.' "Star Wars" actor Mark Hamill donated 500 drones to assist Ukraine in its efforts to push back Russian forces. "Very simply: Ukraine needs drones," Hamill told host Joe Mathieu during an appearance on Bloomberg Radio's "Sound On." "They define war outcomes, they protect their land, their people, they monitor the border, they're eyes in the sky," Hamill said, adding that he was "honored" to support the mission, which would include raising funds to support Ukraine's UNITED24 "Army of Drones" project. Ukrainian President Volodymyr Zelenskyy announced the program's launch last year, including Hamill's role as an ambassador for the program. So far, donations through UNITED24 have reached more than $210 million. CONOR KENNEDY, RFK'S GRANDSON AND TAYLOR SWIFT'S EX, REVEALS UKRAINE SERVICE: 'I WAS … WILLING TO DIE' "I was really shocked because they give me these updates at least two or three times a week about what's going on, and they said they've received over 500 drones since I started this," the actor revealed.

Singh, the Minister of State for Personnel, said artificial intelligence (AI) and machine learning can detect frauds in GST and income tax returns …

The Computer Accent is a documentary following the boundary-pushing pop group Yacht as they try something terrifying and new: handing over the reins of their entire creative process to Artificial Intelligence. Working with technologists and leading AI researchers, Yacht uses cutting-edge data analysis tools, machine learning, neural networks, sci-fi instruments, and generative composition strategies to create a new kind of human-machine album--music, lyrics, artwork, videos, and all. Putting AI to the test in the name of art, Yacht is a guide through the brave new world of machine intelligence. Along the way, they will question their own roles in a future where software anticipates, generates, and synthesizes human work. They have collaborated with multi-hyphenate filmmakers and artists to bring their debut films to fruition, such as: Celia Rowlson-Hall's MA, Carson Mell's Another Evil, Dean Fleischer-Camp's Fraud, Theo Anthony's Rat Film, Marnie Ellen Hertzler's Crestone, and Zia Anger's My First Film project.

It's been two years since OpenAI announced the arrival of GPT-3, its seminal natural language processing (NLP) application. Users were blown away by the AI language tool's uncanny ability to generate insightful, considered and colorful prose -- including poems, essays, song lyrics and even detailed manifestos -- using the briefest of prompts. Known as a "foundation model," OpenAI's GPT-3 was trained by feeding it practically the entire internet, from Wikipedia to Reddit to the New York Times and everything in between. It uses this vast dataset to predict what words are the most plausible given any prompt. Given the scale of such a vast research undertaking, there are only a handful of these foundation models.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Some complete works by George Orwell are coming to Substack. On Oct. 28, the Orwell Foundation will launch Orwell Daily, which for free will serialize at least a portion of the author's famous books and other writings. Orwell Daily begins with his debut, "Down and Out in London and Paris," Orwell's expose of poverty in two of the world's wealthiest cities.

If you're like most people, you've probably never heard of generative AI. But even though it's still in its infancy, generative AI is starting to make waves in a variety of industries. Here's a closer look at what this promising technology is all about and why you should care. In a nutshell, generative AI refers to AI systems that are capable of creating new data based on what they have learned. That might sound confusing, so let's break it down with an example.

How do you make music sound cool? How can you explain why the soundtrack to, say, any of the spy films of the 1960s still sound cool decades later? How can Foxy Lady still get into your body and make you groove so much, 55 years since Jimi Hendrix laid down those slick licks? Jungle, Thundercat or Lil Nas X might be able to tell you – but so can the people behind the soundtrack to Deathloop, one of the most effortlessly classy-looking (and sounding) games in years. Arkane's mind-bending sci-fi thought experiment is a masterclass in cool.

Writers come in all shapes and sizes, as do the styles and themes that they use in their prose. The most obvious categories include the novel, blog, and script writing, along with journalism. All these categories of writing require different approaches. In this article, we will look at how AI writing systems are already hard at work helping writers to improve their work and how AI-assisted moviemaking tools can help writers improve their dialogue scenes. Nearly everyone on the planet now benefits from some form of machine learning or artificial intelligence system that assesses the things that we write.

The recent success in StyleGAN demonstrates that pre-trained StyleGAN latent space is useful for realistic video generation. However, the generated motion in the video is usually not semantically meaningful due to the difficulty of determining the direction and magnitude in the StyleGAN latent space. In this paper, we propose a framework to generate realistic videos by leveraging multimodal (sound-image-text) embedding space. As sound provides the temporal contexts of the scene, our framework learns to generate a video that is semantically consistent with sound. First, our sound inversion module maps the audio directly into the StyleGAN latent space. We then incorporate the CLIP-based multimodal embedding space to further provide the audio-visual relationships. Finally, the proposed frame generator learns to find the trajectory in the latent space which is coherent with the corresponding sound and generates a video in a hierarchical manner. We provide the new high-resolution landscape video dataset (audio-visual pair) for the sound-guided video generation task. The experiments show that our model outperforms the state-of-the-art methods in terms of video quality. We further show several applications including image and video editing to verify the effectiveness of our method.