AI

Art and technology have always shared a complex relationship, with each influencing and reshaping the other. In recent years, the incursion of artificial intelligence (AI) into creative fields has become a hotbed of discussion, particularly within the realm of theater. The recent productions “McNeal” by Ayad Akhtar, featuring the famed Robert Downey Jr., and Matthew
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The recent announcement of significant layoffs at the National Institute of Standards and Technology (NIST) has sent shockwaves throughout the organization and the broader technology community. Following new directives from the Trump administration, NIST—an agency crucial for establishing benchmarks for safety and reliability across various sectors, including AI and consumer products—faces potential cuts impacting up
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Meta has recently unveiled its ambitious Waterworth Project, a groundbreaking initiative set to establish a monumental 50,000-kilometer network of undersea cables connecting five continents. This venture aims to strengthen not only Meta’s oversight over its vast digital landscape but also to ensure that the necessary infrastructure is in place to support the rapid evolution of
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In a groundbreaking move that could redefine the landscape of artificial intelligence (AI) and decentralized technology, Talus—an innovative platform designed for on-chain AI agents—has emerged as a pivotal player in the Web3 ecosystem by collaborating with Sui, a high-performance blockchain. This partnership signifies a step towards mainstream adoption of decentralized applications (dApps) through the integration
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Artificial Intelligence (AI) has long been dominated by a handful of companies that set a high price for access to their sophisticated tools, leaving many potential users—particularly smaller businesses and individuals—at a disadvantage. However, with the advent of Perplexity’s Deep Research tool, this dynamic is shifting dramatically. Perplexity has introduced a solution that democratizes access
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Recent advancements in artificial intelligence, particularly with large language models (LLMs), have reshaped the landscape of computational reasoning. A groundbreaking study from Shanghai Jiao Tong University presents a paradigm shift in our understanding of how to train LLMs for complex reasoning tasks. Traditionally, it has been believed that extensive datasets—comprising tens of thousands of examples—are
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As artificial intelligence continues to evolve and permeate various facets of our lives, the transformative role of specific technological architectures becomes evident. Among these, the advent of transformer architectures marks a pivotal shift in how AI models operate, particularly in the realm of natural language processing and beyond. Products that utilize advanced models like GPT-4,
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In the competitive landscape of data management and artificial intelligence (AI), innovations are essential for staying relevant. Recently, German software powerhouse SAP made significant strides by launching the Business Data Cloud (BDC), a transformative Software as a Service (SaaS) solution that capitalizes on lakehouse architecture. This initiative allows companies to enhance their existing SAP data
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