We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Introduction: Under global climate change and intensified human activities, species distributions are undergoing significant shifts. Marmota baibacina, a representative keystone species among Central ...

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Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...

The Long Island man killed in a freak MRI accident while wearing a massive, 20-pound chain was led into the machine room by a forgetful technician and wound up attached to the machine for an hour ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

U.S. and allied ships sail in formation in the Mediterranean Sea on Nov. 3, 2023. (U.S. Navy photo) The Navy is working with the Defense Innovation Unit to use artificial intelligence and machine ...

The demand for increased compute density. An evolution to ±400-V DC distribution to next-generation AI/ML supercomputer racks to meet that demand. Challenges and solutions in making the move to ±400-V ...

Quantum cryptography has emerged as a radical research field aimed at mitigating various security threats in modern communication systems. The integration of Quantum Machine Learning (QML) protocols ...

Abstract: This article explores the impact of distribution shift in traffic signal control using reinforcement learning agents. Distribution shift occurs when the data distribution during deployment ...