In the rapid development of artificial intelligence, enabling machines to learn from experience like humans has always been a significant challenge. ByteDance's research team has recently made ...

A lot of people are amazed by what artificial intelligence can do. It reads scans. It filters resumes. It makes predictions about who might get sick next month. But the more it does, the more people ...

A University of Plymouth team developed a deep-learning model that classified autism with up to 98% accuracy using fMRI data.

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...

The Cursor R&D team has breakthrough adopted a reinforcement learning framework, allowing the model to directly learn user behavior patterns through a policy gradient algorithm. When suggestions are ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...