Technology

Deep learning techniques have seen significant advancements in recent years, with the ability to achieve human-level accuracy on various tasks such as image classification and natural language processing. As a result, researchers have been exploring new hardware solutions to cope with the high computational requirements of these techniques. One approach that has been gaining attention
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Language models have gained significant traction in recent years due to their ability to process, generate, and manipulate texts in various human languages. However, despite their impressive capabilities, these models are not without flaws. One of the major challenges faced by large language models (LLMs) is the issue of hallucinations, where the model generates nonsensical
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Energy consumption in buildings has long been a concern, with the need to reduce carbon footprints and increase energy efficiency becoming more pressing. One area of innovation that has shown great promise is electrochromic smart windows. These windows have the ability to dynamically regulate solar radiation, offering a potential solution to decreasing the energy consumption
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In the quest for designing more advanced and scalable transistors, electronics engineers have been exploring alternative materials with higher electron mobility. Transition metal dichalcogenides, particularly molybdenum disulfide (MoS2), have emerged as promising candidates for the development of field-effect transistors (FETs) due to their small length and good carrier mobility. Recent research conducted by a team
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OpenAI recently introduced GPT-4o, an advanced version of the chatbot system ChatGPT, emphasizing its human-like engagement and personality. The AI system is designed to have voice conversations with users in real-time, exhibiting behaviors such as telling jokes, showing empathy, and responding to body language. While the focus on enhancing user engagement is commendable, it also
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Artificial intelligence has the potential to revolutionize various industries, from healthcare to finance. However, the reliance on AI systems that are built on vast datasets raises concerns about the perpetuation of bias. The danger lies in the fact that AI algorithms can mirror the biases present in the data used to train them. This poses
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Streaming platform Spotify is facing legal action in the United States for allegedly underpaying songwriters, composers, and publishers. The Mechanical Licensing Collective (MLC) has filed a lawsuit in New York, claiming that Spotify reclassified its subscription services, leading to a drastic reduction in royalty payments. The Lawsuit The lawsuit accuses Spotify of reclassifying its Premium
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