Categories: AI/ML News

Study explores the scaling of deep learning models for chemistry research

Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising chemicals for various applications.

When to Use MLP, CNN, and RNN Neural Networks

September 2, 2022

In "AI/ML Research"

5 Free Resources for Understanding Neural Networks

Deep learning models achieve state-of-the-art performance in several computer vision and natural language processing tasks. If you want to become proficient in deep learning, you should first understand how neural networks work and then proceed to explore the different types and neural network architectures for specific tasks. To help you…

June 15, 2024

In "AI/ML Research"

A Gentle Introduction to Graph Neural Networks in Python

Graph neural networks (GNNs) can be pictured as a special class of neural network models where data are structured as graphs — both training data used to train the model and real-world data used for inference — rather than fixed-size vectors or grids like image, sequences, or instances of tabular…

March 26, 2025

In "AI/ML Research"

AI Generated Robotic Content