AI

In recent years, the rapid advancement of artificial intelligence (AI) technology has given rise to a concerning phenomenon known as “deepfakes.” These manipulated media formats—be it video or audio—employ sophisticated AI techniques to produce realistic but fabricated content, allowing individuals to seemingly say or do things they never actually did. The implications of deepfake technology
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The Consumer Electronics Show (CES) 2025 is set to begin on January 7, marking yet another pivotal moment in the world of technology. Held annually in Las Vegas, this signature event acts as a barometer for trends in consumer electronics and the automotive sector, influencing the direction of the industry for the year to come.
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The landscape of generative artificial intelligence has become increasingly dynamic and diverse, showcasing an unprecedented surge in investments throughout 2024. Contrary to expectations of a potential downturn, the sector has defied predictions, emerging as a focal point for venture capital (VC) interest. With a staggering $56 billion raised globally across 885 deals, the year marked
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In a groundbreaking announcement, Microsoft has unveiled an ambitious investment plan aimed at bolstering its capabilities in artificial intelligence (AI). The tech behemoth is allocating a staggering $80 billion for the fiscal year 2025 to develop a network of data centers specifically designed to accommodate the demanding workloads associated with AI technologies. As articulated in
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The intersection of artificial intelligence (AI) and healthcare presents a transformative opportunity, but it is fraught with challenges, primarily due to data accessibility. Despite the abundance of health-related data generated daily, a considerable portion remains untapped. This underutilization can largely be attributed to patient privacy concerns, the complexity of regulations, and the need for intellectual
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In the rapidly evolving landscape of artificial intelligence (AI), unconventional benchmarks are making waves, transforming how AI performance is evaluated. Rather than sticking to traditional metrics that often resonate only with specialists and scholars, a growing trend sees the AI community embracing playful and sometimes absurd criteria to gauge AI capabilities. This shift opens up
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The application of artificial intelligence (AI) in healthcare has predominantly focused on enhancing medical diagnostics, treatment planning, and patient care. However, an increasing number of innovative startups are exploring the potential of AI beyond the clinical realm, recognizing its capacity to streamline operational tasks that can significantly impact both healthcare costs and outcomes. Brazilian startup
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