The Bank’s new artificial intelligence (AI) strategy outlines its internal direction for leveraging AI to enhance data and analytics capabilities, ultimately supporting its mission of ensuring monetary and financial stability in the UK. This strategy emphasizes accessibility, enabling all staff to utilize AI tools to improve productivity and foster innovation. Key goals include responsible AI usage, supporting staff through training, and establishing strong governance to manage AI risks. The ‘TRUSTED’ framework underpins ethical AI practices, focusing on targeted, reliable, and tested solutions. Partnerships with central banks and private enterprises will bolster knowledge-sharing. The strategy recognizes the importance of continuous monitoring of AI trends and regulatory implications. By investing in an AI skills curriculum, the Bank aims to attract top talent while ensuring staff understand AI’s opportunities and limitations. Overall, this approach aspires to integrate AI across the Bank effectively, fostering a culture of collaboration and innovation.

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ZEISS Medical Technology, based in Jena, has achieved a significant milestone by receiving the CE mark for its AI-powered Optical Coherence Tomography (OCT) tool. This certification allows the innovative device to be marketed across European markets, enhancing diagnostic capabilities in ophthalmology. The AI-driven OCT tool leverages advanced algorithms to provide precise imaging and analysis of ocular conditions, facilitating quicker and more accurate diagnoses. This cutting-edge technology is set to revolutionize patient care by improving workflow efficiency for healthcare professionals. The CE mark underscores ZEISS’s commitment to advancing medical technology, ensuring compliance with stringent European safety and efficacy standards. As the demand for advanced eye care solutions grows, ZEISS’s AI OCT tool positions itself as a game-changer in the ophthalmic field, promising better outcomes for patients and practitioners alike. The company aims to expand its market presence and contribute to the future of eye health management.

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AI-driven tools like ChatGPT and Grok are revolutionizing crypto trading by providing traders with real-time sentiment analysis and context before analyzing traditional charts. These models mitigate chart fatigue, particularly for novice traders who find complex indicators overwhelming. Instead of relying solely on visual data, traders engage in natural-language queries, such as asking about the sentiment surrounding specific cryptocurrencies. Grok, integrated with X, excels at capturing fast-moving sentiment and offers detailed, data-driven insights, while ChatGPT provides broader, narrative-based interpretations. Both models summarize historical patterns effectively, helping traders make informed decisions. However, they are not substitutes for traditional analysis; traders should utilize AI as a supportive tool rather than a sole strategy. As the crypto ecosystem evolves, AI tools are enhancing the cognitive strategies traders employ, transitioning analysis from visual to conversational, ultimately providing speed and clarity essential for navigating the market landscape.

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A recent report from the Korean Educational Development Institute (KEDI) reveals that Korea’s move towards expanding digital learning in schools may exacerbate educational inequalities. The study highlights that high-performing students and those from wealthier families often display superior digital skills, reinforcing the “rich get richer, poor get poorer” trend in education. KEDI’s 2023 survey showed that students from affluent backgrounds performed better in digital competencies, indicating a correlation between digital literacy and socioeconomic status. The report warns that if educational institutions do not address these disparities, the digital divide could deepen, impacting critical skills like reasoning and problem-solving. KEDI advocates for curriculum restructuring that embraces multiple forms of literacy and a school model that prepares students for the digital age. The agency stresses that effective digital education should foster independent thinking and expression, going beyond mere access to technology.

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Google has made a landmark move by releasing energy and water consumption estimates for its Gemini AI applications, becoming the first major tech company to provide such data. According to Google’s findings, each Gemini text prompt consumes an average of 0.24 watt-hours (Wh), emits 0.03 grams of CO2 equivalent (gCO2e), and uses 0.26 milliliters of water, a footprint significantly lower than public estimates. This transparency comes amidst increasing scrutiny over AI’s environmental impact as demand for AI technology surges. Google’s methodology accounts for various factors often overlooked in industry calculations, such as resource use during idle times and cooling systems in data centers. Despite these higher estimates, Google insists that the actual energy and emissions are less than widely feared. The report aims to encourage other tech companies to disclose similar data, promoting industry-wide standards for AI’s sustainability. Ultimately, better metrics could lead to responsible AI development mindful of environmental concerns.

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