Mathew

This AI Paper Proposes ‘GREAT PLEA’ Ethical Framework: A Military-Inspired Approach for Responsible AI in Healthcare

  A group of researchers from various institutions, including the University of Pittsburgh, Weill Cornell Medicine, Telemedicine & Advanced Technology Research Center, Uniformed Services University, Brooke Army Medical Center, and University of Pittsburgh Medical Center have examined the ethical principles of generative AI in healthcare, particularly focusing on transparency, bias modeling, and ethical decision-making concerns….

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Meet MMMU: A New AI Benchmark for Expert-Level Multimodal Challenges Paving the Path to Artificial General Intelligence

  Multimodal pre-training advancements address diverse tasks, exemplified by models like LXMERT, UNITER, VinVL, Oscar, VilBert, and VLP. Models such as FLAN-T5, Vicuna, LLaVA, and more enhance instruction-following capabilities. Others like Flamingo, OpenFlamingo, Otter, and MetaVL explore in-context learning. While benchmarks like VQA focus on perception, MMMU stands out by demanding expert-level knowledge and deliberate…

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How generative AI is revolutionizing PPC

It’s hard to believe it’s only been a year since ChatGPT burst onto the scene and captured the world’s attention with its remarkably adept chatbot that generates human-like text on command. Once users moved on from trying the chatbot for silly things like writing jokes or letters in Shakespeare’s voice, more useful applications emerged. Teachers…

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Google officially drops Mobile Usability report, Mobile-Friendly Test tool and Mobile-Friendly Test API

Google has officially sunset the Google Search Console Mobile Usability report, the Mobile-Friendly Test tool and the Mobile-Friendly Test API today. Google told us back in April 2023 that this would happen on December 1st and Google announced today on December 4th that it has been done. “Today we’re sunsetting Search Console’s Mobile Usability report,…

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Google DeepMind Research Introduced SODA: A Self-Supervised Diffusion Model Designed for Representation Learning

  Google DeepMind’s researchers have developed SODA, an AI model that addresses the problem of encoding images into efficient latent representations. With SODA, seamless transitions between images and semantic attributes are made possible, allowing for interpolation and morphing across various image categories. Diffusion models have revolutionized visual synthesis, excelling in diverse tasks like image, video,…

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