Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

The capabilities of artificial intelligence (AI) are growing exponentially, especially in the area of creating synthetic images that are photorealistic. In 2014, generative adversarial networks (GANs) ...

Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization development and accelerates model parameter extraction for advanced nodes, ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment,, researchers in China have ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Peach (Prunus persica) is an economically important fruit, and understanding the genetic basis of its quality traits is crucial for breeding. Recent advances in genome sequencing have led to the ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...