A hub to share & discuss all things radiology artificial intelligence & its various perspectives (industry, academic research, clinical etc). My mission is to improve the radiology AI sector by providing a platform for conversation.
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r/computervision
Computer Vision is the scientific subfield of AI concerned with developing algorithms to extract meaningful information from raw images, videos, and sensor data. This community is home to the academics and engineers both advancing and applying this interdisciplinary field, with backgrounds in computer science, machine learning, robotics, mathematics, and more. We welcome everyone from published researchers to beginners!
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r/computervision
Computer Vision is the scientific subfield of AI concerned with developing algorithms to extract meaningful information from raw images, videos, and sensor data. This community is home to the academics and engineers both advancing and applying this interdisciplinary field, with backgrounds in computer science, machine learning, robotics, mathematics, and more. We welcome everyone from published researchers to beginners!
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upvotes · comment
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r/computervision
Computer Vision is the scientific subfield of AI concerned with developing algorithms to extract meaningful information from raw images, videos, and sensor data. This community is home to the academics and engineers both advancing and applying this interdisciplinary field, with backgrounds in computer science, machine learning, robotics, mathematics, and more. We welcome everyone from published researchers to beginners!
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r/singularity
Everything pertaining to the technological singularity and related topics, e.g. AI, human enhancement, etc.
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r/singularity
Everything pertaining to the technological singularity and related topics, e.g. AI, human enhancement, etc.
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r/machinelearningnews
We are a community of AI/ ML/Generative enthusiasts/researchers/journalists/writers who share interesting news and articles about the applications of AI. You will never miss any updates on ML/AI/CV/NLP fields because we post them daily. We hope that you subscribe to us so that you'll be up-to-date with the latest developments around the world in terms of machine learning and related areas.
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r/reinforcementlearning
Reinforcement learning is a subfield of AI/statistics focused on exploring/understanding complicated environments and learning how to optimally acquire rewards. Examples are AlphaGo, clinical trials & A/B tests, and Atari game playing.
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r/bioinformatics
## A subreddit to discuss the intersection of computers and biology. ------ A subreddit dedicated to bioinformatics, computational genomics and systems biology.
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r/AR_MR_XR
this sub "is a precious resource for the whole MR industry. we check your sub every day at Lynx." [Stan Larroque] ——————————————————— AR - augmented reality | MR - mixed reality | XR - extended reality | spatial computing | assisted reality | smart glasses
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TLDR: "Embeddings for Language/Image-aligned X-Rays, or ELIXR, leverages a language-aligned image encoder combined or grafted onto a fixed LLM, PaLM 2, to perform a broad range of tasks."
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Super Impressive u/doctanonymous, Would you say the days of labelling vast quantities of data are numbered?