It's World Radiography Day Radiographs have come a long way since its inception. Today with the help of AI, medical diagnosis has had a lot of innovations. Transfer Learning is one such innovation that finds use in medical imaging like X-Rays. https://
learnopencv.com/transfer-learn
ing-for-medical-images/
… #xray #ai
INNOVATION
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Transfer Learning for Medical Imaging and X-Ray Diagnosis with AI
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YOLOv7 Pose: Single-Stage Multi-Person Keypoint Detection
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Unlike conventional Pose Estimation algorithms, YOLOv7 pose is a single-stage multi-person keypoint detector. It is similar to the bottom-up approach but heatmap free. It is an extension of the one-shot pose detector – YOLO-Pose. https://
learnopencv.com/yolov7-pose-vs
-mediapipe-in-human-pose-estimation/
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#yolov7 #poseestimation -
Deep Learning’s Future: A 2009 NeurIPS Prediction Recalled
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13 years ago at Neurips 2009, 3 years before AlexNet, a young student @ilyasut explaining to my dinner table why Deep Learning is gonna be the future.
Looking forward to #NeurIPS2022. -
5 Traps to Avoid in AI Transformation Strategy
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5 traps to avoid in AI transformation with http://
H2O.ai VP of Strategy and Product, Prashant Natarajan (@natarpr) in @Dataversity
: https://
dataversity.net/5-traps-to-avo
id-in-ai-transformation/
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Contest: Win an Artificial Intelligence Magazine Issue
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Win an issue of the #ArtificialIntelligence magazine https://z1uvsfwrlyg.typeform.com/concours #IA #AI #bigdata #innovation
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Progress in Model Training: From Full Dataset Collection to Modern Approaches
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Definitely a limitation. I see some
progress, though. Back in the day, we had to collect an entire training dataset and train a new model! -
NLLB-200 Achieves Lowest Content Deletion Rate Among Translation Services
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NLLB-200 sees only 0.13% of translated content deleted. That’s the lowest percentage across all machine translation services available on the platform, suggesting that the resulting translations are being understood & accepted. 3/5
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NLLB-200 Achieves Superior Translation Quality Across All Languages
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Across all languages, NLLB-200 is seeing the best results for translations modified <10% compared to all other MT services on the platform — a strong signal for the quality of translations that are being generated. 4/5
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NLLB-200 becomes third most-used translation engine in four months
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NLLB-200 now represents 3.8% of all machine translations on the platform. This makes it the third most-used machine translation engine across all published translations just four months after launch. 2/5
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No Language Left Behind Improves Wikipedia Translation Tool Usage
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In July, we launched No Language Left Behind to more languages in @Wikimedia
’s Content Translation tool that helps Wikipedia editors jumpstart article translation — a new report is already showing encouraging impact on usage & translation quality https://
bit.ly/3NO63VR /5