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ML Olympiad returns with over 20 challenges

AI News

The popular ML Olympiad is back for its third round with over 20 community-hosted machine learning competitions on Kaggle. This year’s lineup includes challenges spanning areas like healthcare, sustainability, natural language processing (NLP), computer vision, and more.

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SEER: A Breakthrough in Self-Supervised Computer Vision Models?

Unite.AI

In the past decade, Artificial Intelligence (AI) and Machine Learning (ML) have seen tremendous progress. Modern AI and ML models can seamlessly and accurately recognize objects in images or video files. Today, they are more accurate, efficient, and capable than they have ever been.

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Machine Learning Computer Vision

PyImageSearch

If you want a gentle introduction to machine learning for computer vision, you’re in the right spot. Here at PyImageSearch we’ve been helping people just like you master deep learning for computer vision.

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Is Traditional Machine Learning Still Relevant?

Unite.AI

In recent years, Generative AI has shown promising results in solving complex AI tasks. Modern AI models like ChatGPT , Bard , LLaMA , DALL-E.3 Moreover, Multimodal AI techniques have emerged, capable of processing multiple data modalities, i.e., text, images, audio, and videos simultaneously. What are its Limitations?

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Five machine learning types to know

IBM Journey to AI blog

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

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FeatUp: A Machine Learning Algorithm that Upgrades the Resolution of Deep Neural Networks for Improved Performance in Computer Vision Tasks

Marktechpost

Deep features are pivotal in computer vision studies, unlocking image semantics and empowering researchers to tackle various tasks, even in scenarios with minimal data. With their transformative potential, deep features continue to push the boundaries of what’s possible in computer vision.

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How To Stay Updated With Machine Learning and Computer Vision Advances In 2023?

Towards AI

Last Updated on August 7, 2023 by Editorial Team Author(s): Hasib Zunair Originally published on Towards AI. Are you overwhelmed by the recent progress in machine learning and computer vision as a practitioner in academia or in the industry? I like to think of Yannic’s channel as the BBC News of AI.