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AI News Digest - 2024-12-20

AI News Digest

Here are today's top AI-related articles:

Generative AI Still Needs to Prove Its Usefulness

Source: Wired

Summary: The article discusses the current skepticism surrounding generative artificial intelligence and questions its practical applications. It highlights the diminishing hype around generative AI and the lack of clear use cases for this technology.

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Google Search will reportedly have a dedicated 'AI Mode' soon

Source: Verge

Summary: Google is reportedly planning to introduce an "AI Mode" in its search engine, which will provide users with an interface similar to its Gemini AI chatbot. This mode will allow users to ask questions using their voice and will include related web links and a search bar for follow-up queries. This move by Google aligns with the trend of integrating AI into search functionalities, as seen with OpenAI's ChatGPT search and Google's existing AI search summaries feature.

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AI learns to distinguish between aromas of US and Scottish whiskies

Source: Guardian

Summary: Researchers have successfully used AI to predict the aroma notes of whiskies and differentiate between US and Scottish whiskies based on their scents. The algorithm outperformed a panel of experts in identifying the key aroma components of each drink, indicating a step forward in developing automated systems for analyzing the complex aromas of whiskies.

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UK arts and media reject plan to let AI firms use copyrighted material

Source: Guardian

Summary: UK artists and media organizations have rejected a proposal by the Labour government to create a copyright exemption for AI firms to train their algorithms using copyrighted material. Writers, publishers, musicians, photographers, movie producers, and newspapers argue that existing copyright laws must be respected, and they oppose allowing companies like Open AI, Google, and Meta to use their content for AI training without explicit permission.

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Why Your AI's Success Doesn't Depend On The Algorithm But The Data That Powers It

Source: Forbes

Summary: The article emphasizes the importance of high-quality data in AI success rather than just focusing on the algorithm itself. It suggests that prioritizing accurate and reliable data is key to achieving better AI outcomes and long-term organizational success.

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Nvidia's Deal to Buy Israel's Run:ai Wins Unconditional EU Nod

Source: Bloomberg

Summary: Nvidia has received unconditional approval from the European Union for its acquisition of Israeli startup Run:ai, which specializes in software for managing AI computing resources. This acquisition could potentially strengthen Nvidia's position in the AI market by enhancing its offerings in AI infrastructure solutions.

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Need a research hypothesis? Ask AI.

Source: MIT

Summary: MIT engineers have created AI frameworks that can generate evidence-driven hypotheses to advance biologically inspired materials. This development could significantly impact research in the field by enabling AI to propose new ideas for experimentation and exploration.

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The CEO's Future Imperative: Redefining Human Success In The Age Of AI

Source: Forbes

Summary: The article discusses the importance of redefining human success in the context of the AI era. It emphasizes the role of leaders in championing a system that prioritizes employee engagement, motivation, and alignment as key factors for success in the age of AI.

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Tencent and Honor Forge Wide-Ranging Partnership on AI and Cloud

Source: Bloomberg

Summary: Tencent and Honor Device Co. have announced a strategic partnership focusing on cloud and artificial intelligence development. This collaboration is expected to have significant implications for AI and cloud computing technologies in the future.

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Southeast Asia Has $60 Billion AI Boom, But Its Own Startups Are Missing Out

Source: Bloomberg

Summary: Southeast Asia is experiencing a significant AI investment boom from major players like Nvidia and Microsoft investing in cloud services and data centers. However, local tech startups in the region are not fully leveraging this opportunity, missing out on the potential growth and development in the AI sector.

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