As the demand for more powerful processors and energy-efficient data centers continues to rise with the artificial intelligence boom, companies like Sustainable Metal Cloud are leading the way in creating sustainable AI factories. Their innovative approach involves using special HyperCube servers fitted with Nvidia processors that are submerged in a synthetic oil called polyalphaolefin. This
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Electric vehicles (EVs) are becoming increasingly popular in today’s world, and with that comes the need for high-energy, low-cost batteries to power them. While nickel and cobalt-based batteries are currently utilized, the abundance of manganese presents an opportunity for a more sustainable option. Lithium-ion batteries have been a staple in rechargeable electronics, and researchers are
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In recent news, the Association for Computing Machinery’s US Technology Policy Committee (USTPC) has addressed the aftermath of a major cybersecurity incident involving CrowdStrike, a prominent US-based cybersecurity technology company. The incident, which occurred on July 18, 2024, resulted in a global outage affecting millions of computers across various critical infrastructure sectors worldwide. The USTPC
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In the ever-evolving landscape of artificial intelligence (AI), data portability has emerged as a critical factor in ensuring user control and flexibility. Inflection AI, the startup behind the Pi AI assistant, recently made headlines with its partnership with the Data Transfer Initiative (DTI) to enable existing users to export their data from the platform. This
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The rapid growth of the internet and social media has brought about a surge in online content creation, allowing individuals to express themselves freely. However, a concerning trend that has emerged is the proliferation of hate speech, targeting individuals based on various attributes such as ethnicity, religion, or sexual orientation. Hate speech detection models play
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Automatic bug assignment has been a topic of interest in recent years, with researchers and engineers focusing on utilizing textual bug reports to identify and fix software bugs. However, the presence of noise in text data poses challenges for effective bug assignments, particularly due to limitations in traditional Natural Language Processing (NLP) techniques. A research
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