Generative AI zoomers say we should use GenAI for everything, and GenAI doomers say we shouldn’t use it for anything. Most of us are in the middle of these two extremes.
With the rapid development of GPT-based models, educational chatbots are no longer limited to scripted dialogs. They can now ...
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
Background: Implementing machine learning models to identify clinical deterioration on the wards is associated with decreased morbidity and mortality. However, these models have high false positive ...
A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Introducing MLOps to Facilitate the Development of Machine Learning Models in Agronomy: A Case Study
Abstract: While machine learning (ML) and deep learning (DL) are increasingly being adopted in agronomy, the literature shows that the use of ML Operations (MLOps) frameworks remains scarce during the ...
The convergence of machine learning (ML) and applied neuroscience continues to accelerate, driven by the synergistic demands of intelligent systems and deepening insights into the human nervous system ...
Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...
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