In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in ...

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

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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

A team of researchers at Penn State have devised a new, streamlined approach to design metasurfaces, a class of engineered ...

"The large language models (LLMs) that currently underpin artificial intelligence (AI) may appear impressive, but at their ...

A team of researchers in Norway, home to the largest remaining wild salmon populations as well as one of the largest ...

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 ...

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...