Machine-learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection

To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...

Scientists Use AI To Supercharge Ultrafast Laser Simulations by More Than 250x

Researchers have developed a deep-learning-based surrogate model that dramatically speeds up simulations of nonlinear optical ...

AI Learns To Work Backward and Reveal Hidden Forces in Nature

Scientists have developed a new AI method that can work backward from patterns to uncover the hidden processes driving them.
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Why applied statistics is your career superpower

Applied statistics is more than numbers—it’s a way to solve real-world problems in social science, healthcare, business, and beyond. From mastering research design to applying advanced data analysis, ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
IEEE

Tiny Machine Learning: Progress and Futures [Feature]

Abstract: Tiny machine learning (TinyML) is a new frontier of machine learning. By squeezing deep learning models into billions of IoT devices and microcontrollers (MCUs), we expand the scope of ...