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Why AI Developers Are Buzzing About Claude 3.5’s Computer Use Feature

Unite.AI

For developers, Computer Use offers a glimpse of a future where AI models serve as independent agents capable of making decisions and executing tasks autonomously. The post Why AI Developers Are Buzzing About Claude 3.5’s s Computer Use Feature appeared first on Unite.AI.

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CMA sets out principles for responsible AI development 

AI News

Collaboration between businesses, government, academia and industry experts is crucial to strike a balance between safe regulations and guidance that can lead to the positive development and use of innovative business AI tools. The post CMA sets out principles for responsible AI development appeared first on AI News.

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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

Responsible AI builds trust, and trust accelerates adoption and innovation. Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.

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Bridging the Language Gap: A Push for AI Tools for African Languages

Unite.AI

Their recent study in the journal Patterns outlines strategies to develop AI tools tailored to African languages. Kathleen Siminyu, an AI researcher at the Masakhane Research Foundation, emphasizes the importance of this endeavor. The lesser data available, the less efficient the AI tool becomes.

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Employing Generative AI: Unpacking the Cybersecurity Implications of Generative AI Tools

Unite.AI

We’re now witnessing a wholesale embrace of generative AI across all industries and age groups as employees figure out ways to leverage the technology to their advantage. A recent survey indicated that 29% of Gen Z, 28% of Gen X, and 27% of Millennial respondents now use generative AI tools as part of their everyday work.

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Daniel Cane, Co-CEO and Co-Founder of ModMed – Interview Series

Unite.AI

AI has the opportunity to significantly improve the experience for patients and providers and create systemic change that will truly improve healthcare, but making this a reality will rely on large amounts of high-quality data used to train the models. Why is data so critical for AI development in the healthcare industry?

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Top AI Models are Getting Lost in Long Documents

Unite.AI

The findings serve as a reminder that despite fast advances in AI technology, these systems still process information very differently from humans. Understanding these limitations is crucial for using AI tools effectively and knowing when human judgment remains essential.