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A team of researchers from the University of Cologne's Faculty of Medicine and University Hospital Cologne, led by Dr Yuri Tolkach and Professor Dr Reinhard Büttner, has created a digital pathology platform based on artificial intelligence.

The platform uses new algorithms developed by the team and enables fully automated analysis of tissue sections from lung cancer patients. The platform makes it possible to analyse digitized tissue samples on the computer for lung tumours more quickly and accurately than before.

The study 'Next generation lung cancer pathology: development and validation of diagnostic and prognostic algorithms' has been published in the journal Cell Reports Medicine.

This week in AI, a new study shows that generative AI really isn’t all that harmful — at least not in the apocalyptic sense.

In a paper submitted to the Association for Computational Linguistics’ annual conference, researchers from the University of Bath and University of Darmstadt argue that models like those in Meta’s Llama family can’t learn independently or acquire new skills without explicit instruction.

The researchers conducted thousands of experiments to test the ability of several models to complete tasks they hadn’t come across before, like answering questions about topics that were outside the scope of their training data. They found that, while the models could superficially follow instructions, they couldn’t master new skills on their own.

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AI News

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• 🫤 ‘Disappointed but not surprised’: Former employees speak on OpenAI’s opposition to SB 1047 (link)

• 💸 Andrew Ng steps back at Landing AI after announcing new fund (link)

• 🥊 AI scams are proliferating and a new tool is combatting them (link)

AI Tools

• 🎨 Microsoft Bing: Create images from words with AI (link)

• 📽️ Invideo AI: Use the full power of video to grow your brand (link)

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• 💡 CreateAny: Create anything effortlessly (link)