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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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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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Is Traditional Machine Learning Still Relevant?

Unite.AI

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. What is Traditional Machine Learning?

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Emerging Trends in AI and ML in 2023 & Beyond

Analytics Vidhya

Introduction You call artificial intelligence and machine learning magic. While this debate continues in the chorus, PwC’s global AI study says that the global economy will see a boost of 14% in GDP […] The post Emerging Trends in AI and ML in 2023 & Beyond appeared first on Analytics Vidhya.

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MLPs vs KANs: Evaluating Performance in Machine Learning, Computer Vision, NLP, and Symbolic Tasks

Marktechpost

The researchers control parameters and FLOPs for both network types, evaluating their performance across diverse domains, including symbolic formula representation, machine learning, computer vision, natural language processing, and audio processing.

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Top Computer Vision Courses

Marktechpost

Computer vision is rapidly transforming industries by enabling machines to interpret and make decisions based on visual data. Learning computer vision is essential as it equips you with the skills to develop innovative solutions in areas like automation, robotics, and AI-driven analytics, driving the future of technology.