In this video, we will understand in detail what is Momentum Optimizer in Deep Learning. Momentum Optimizer in Deep Learning ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

By study and by faith” is a phrase students hear often at BYU. For many freshmen, that idea begins to take shape in a class ...

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...

DeepSeek has published a technical paper co-authored by founder Liang Wenfeng proposing a rethink of its core deep learning ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...