Partnership with Axel Springer to deepen beneficial use of AI in journalism
Axel Springer is the first publishing house globally to partner with us on a deeper integration of journalism in AI technologies.
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This AI Paper Presents Find+Replace Transformers: A Family of Multi-Transformer Architectures that can Provably do Things no Single Transformer can and which Outperform GPT-4 on Several Tasks
In the annals of computational history, the journey from the initial mechanical calculators to Turing Complete machines has been revolutionary. While impressive, early computing devices, such as Babbage’s Difference Engine and the Harvard Mark I, lacked the Turing Completeness—a concept defining systems capable of performing any conceivable calculation given adequate time and resources. This limitation…
Meet OLMo (Open Language Model): A New Artificial Intelligence Framework for Promoting Transparency in the Field of Natural Language Processing (NLP)
With the rising complexity and capability of Artificial Intelligence (AI), its latest innovation, i.e., the Large Language Models (LLMs), has demonstrated great advances in tasks, including text generation, language translation, text summarization, and code completion. The most sophisticated and powerful models are frequently private, limiting access to the essential elements of their training procedures, including…
Researchers from Grammarly and the University of Minnesota Introduce CoEdIT: An AI-Based Text Editing System Designed to Provide Writing Assistance with a Natural Language Interface
Large language models (LLMs) have made impressive advancements in generating coherent text for various activities and domains, including grammatical error correction (GEC), text simplification, paraphrasing, and style transfer. One of the emerging skills of LLMs is their ability to generalize and perform tasks that they have never seen before. To achieve this, LLMs are fine-tuned…
This AI Paper Unveils Mixed-Precision Training for Fourier Neural Operators: Bridging Efficiency and Precision in High-Resolution PDE Solutions
Neural operators, specifically the Fourier Neural Operators (FNO), have revolutionized how researchers approach solving partial differential equations (PDEs), a cornerstone problem in science and engineering. These operators have shown exceptional promise in learning mappings between function spaces, pivotal for accurately simulating phenomena like climate modeling and fluid dynamics. Despite their potential, the substantial computational resources…
AI News Weekly – Issue #440: The 15 biggest announcements at Google I/O 2025 – May 22nd 2025
ByWeb Dev
Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News The 15 biggest announcements at Google I/O 2025 Google just wrapped up its big keynote at I/O 2025. As expected, it was full of AI-related announcements, ranging from updates across Google’s image and…
ByteDance Introduces MagicVideo-V2: A Groundbreaking End-to-End Pipeline for High-Fidelity Video Generation from Textual Descriptions
ByWeb Dev
There’s a burgeoning interest in technologies that can transform textual descriptions into videos. This area, blending creativity with cutting-edge tech, is not just about generating static images from text but about animating these images to create coherent, lifelike videos. The quest for producing high-fidelity, aesthetically pleasing videos that accurately reflect the described scenarios presents a…
