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Soft-launching your beau with a ‘Ghibli-fied’ image? Beware! Users say same AI can reverse-engineer it to original

The AI-generated Ghibli-style portraits from selfies have raised concerns about potential privacy risks. Critics are wary of OpenAI collecting facial data for training purposes, sparking ethical debates. Users are advised to be cautious about sharing personal photos through the Ghibli filter due to the possibility of misuse. It is important to weigh the risks before using such technology.

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AI surge ‘to double data centre power demand by 2030’

Data centres are projected to significantly increase their electricity consumption due to the rise in artificial intelligence applications. This growth will pose challenges for energy security and meeting CO2 emission goals. The International Energy Agency (IEA) forecasts that data centres will more than double their electricity usage by 2030. This trend highlights the need for sustainable energy solutions within the technology sector. The reliance on AI will further drive the energy demands of data centres in the coming years.

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Revolutionizing Protein Localization with AI: Introducing ProtGPS

Discover ProtGPS, the groundbreaking AI model that’s transforming our understanding of protein localization within cells. By accurately predicting protein destinations and designing novel proteins for specific compartments, ProtGPS opens new doors for drug development and disease treatment, showcasing AI’s powerful role in biomedical research.

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Harnessing AI for Agility and Resilience in B2B Markets

In an era defined by volatility, businesses are turning to AI-powered digital platforms to enhance agility and resilience. This article explores how B2B service companies are leveraging AI to meet customer demands swiftly and maintain a competitive edge amidst unpredictable market fluctuations.

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AI-Driven Demand to Propel Data Center Investments in 2025

The burgeoning demand for AI services is set to propel data center investments to new heights by 2025. GlobalData reports that as AI applications expand, companies will increasingly rely on data centers to handle their complex workloads. This trend highlights the crucial role of infrastructure in supporting AI’s rapid growth and the balance between cloud and on-premises solutions for optimal performance and compliance.

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