Researchers at Rice University have developed a new machine learning (ML ... “Our tool is able to parse light-based data for very subtle signals that are usually hard to pick up on using traditional ...

Over the last decade, researchers have developed various ML-based techniques ... "The R-C-D-F method's integration of ML and ...

New ML-based method predicts lithium salt performance, accelerating the development of safer, high-efficiency lithium metal ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Most approaches to machine learning-based inverse design require large amounts ... Unlike many previous methods, the model is trained on real-world data instead of simulations. “It sets a precedent ...

User and entity behavior analytics can become a foundational tool for keeping pace with cybersecurity threats in the age of ...

Researchers developed a technique guaranteeing that data remain secure during multiparty, cloud-based computation. This method ... companies to use deep learning to securely analyze confidential ...

However, the large amounts of image data generated pose significant processing challenges. Current methods using CNN-based deep learning frameworks for tassel detection face difficulties with data ...

Researchers have developed a new machine learning algorithm ... to parse light-based data for very subtle signals that are usually hard to pick up on using traditional methods," said Shengxi ...