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In a bold move that reverberated throughout the automotive industry, President Donald Trump recently announced his intention to impose a staggering 25% tariff on imported vehicles. This declaration invokes a sentiment of nationalism and has stirred up conversations about the continued viability of American manufacturing. Yet, within this complexity lies a narrative that intertwines the
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In today’s gaming industry, where realism often eclipses creativity, KenForest’s “LiDAR Exploration Program” emerges as a breath of fresh air. This atmospheric horror game ingeniously wraps a scientifically inspired mechanic around an experience that is both calming and thrilling. LiDAR, short for “Light Detection and Ranging,” serves as not just a tool for distance measurement
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As the landscape of artificial intelligence continues to evolve, Microsoft is making significant headway by introducing multi-step reasoning AI capabilities into its Microsoft 365 Copilot. Recent announcements following Google’s and OpenAI’s showcases have highlighted the arrival of two pioneering AI agents—Researcher and Analyst. These innovations not just mark a technological advancement but signify a crucial
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Amazon is propelling itself into the future of retail by harnessing the power of generative artificial intelligence. As a giant in e-commerce, the company is leveraging AI to refine its shopping experience, showcasing its commitment to innovation and customer satisfaction. Recently, Amazon has initiated beta tests for two ground-breaking tools: an intelligent shopping assistant named
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In the ever-evolving landscape of social media, transparency is not just a regulatory requirement; it is a public demand. TikTok, a platform characterized by its dynamic user-generated content, has taken significant strides to align with the EU’s Code of Practice on Disinformation through its latest Transparency Report. The insights derived from this report underscore the
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In the evolving landscape of artificial intelligence (AI), organizations often grapple with an unavoidable paradox: the paradox of dirty data. While most businesses possess vast amounts of data and a vision for its utilization, the struggle to work with unrefined, poorly structured information can lead to subpar AI model performance. This widespread issue has driven
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