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

Unite.AI

While this model brings improved reasoning and coding skills, the real excitement centers around a new feature called “Computer Use.” ” This capability lets developers guide Claude to interact with the computer like a person—navigating screens, moving cursors, clicking, and typing. A primary concern is security.

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Google Unveils Gemma: A New Era of Open-Source AI Models

Analytics Vidhya

Google has announced the launch of Gemma, a groundbreaking addition to its array of AI models. Developed with the aim of fostering responsible AI development, Gemma stands as a testament to Google’s commitment to making AI accessible to all.

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Top AI Models are Getting Lost in Long Documents

Unite.AI

The research team's findings show that even the most advanced AI models have trouble connecting information when they cannot rely on simple word matching. The Hidden Problem with AI's Reading Skills Picture trying to find a specific detail in a long research paper. Many AI models, it turns out, do not work this way at all.

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Who Is Responsible If Healthcare AI Fails?

Unite.AI

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. Not necessarily.

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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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Blockchain could solve the monopolised AI ecosystem

AI News

It is already happening with ChatGPT, with more and more people using the AI tool to look for answers to their deepest personal questions. This is the bottleneck of current AI systems and models – the centralisation of AI technology, monopolisation of data used to train the AI models, and privacy concerns by users.

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How to Secure AI Training Data

Unite.AI

The vast size of AI training datasets and the impact of the AI models invite attention from cybercriminals. As reliance on AI increases, the teams developing this technology should take caution to ensure they keep their training data safe. Alternatively, a resume-scanning AI tool may produce biased results.