Technology

In recent years, advancements in deep learning techniques have led to remarkable achievements in various tasks such as image classification and natural language processing. The rise in the use of these techniques has spurred research into developing hardware accelerators that can meet the computational demands of deep neural networks. These accelerators are specialized computing devices
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Large language models (LLMs) have become increasingly common in various applications, allowing for quick and accurate text generation and interpretation. However, one significant issue that has arisen with these models is the occurrence of hallucinations, where the model produces incoherent or inaccurate responses. Researchers at DeepMind have recently proposed a new approach to address the
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Recent advancements in the field of electronics engineering have paved the way for the design of more intricate and scaled-down transistors. Conventional silicon-based field effect transistors (FETs) have limitations that have led researchers to explore alternative designs using materials with higher electron mobility. Transition metal dichalcogenides (TMDs), such as molybdenum disulfide (MoS2), have shown promise
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Artificial intelligence, particularly in the form of tools like ChatGPT, has the potential to revolutionize decision-making processes in various sectors such as healthcare, finance, and law. However, the underlying data on which AI systems are trained may contain inherent biases that could lead to discriminatory outcomes. As Joshua Weaver from the Texas Opportunity & Justice
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Spotify, the popular music streaming platform, is facing a legal battle in the US federal court over allegations of underpaying songwriters, composers, and publishers. The lawsuit, filed by the Mechanical Licensing Collective (MLC), claims that Spotify reclassified its paid subscription services without notice, resulting in a significant reduction in royalty payments to MLC. This move
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