Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
Deep Learning with Yacine on MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...
InfoWorld

How self-learning AI agents will reshape operational workflows

AI agents trained on their own experiences have the potential to revolutionize operations. Practical applications are already ...
C&EN

High-Accuracy Prediction of ScAlN Thin Film Dry Etching Using Machine Learning Driven Regression Modeling

Optical Science & Engineering, The University of New Mexico, Albuquerque, New Mexico 87131, United States Center for High Tech Technology Materials (CHTM), Albuquerque, New Mexico 87106, United States ...
GitHub

deep-learning-tutorial

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
IEEE

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...
Wired

Extremist Groups Hated Charlie Kirk. They’re Using His Death to Radicalize Others

For years, extremist groups, white nationalists, and militias like the Proud Boys and Oath Keepers saw Charlie Kirk not as their ally, but as their enemy. Though Kirk denigrated trans people, Muslims, ...
IEEE

Multimodal Strain Sensing System for Shape Recognition of Tensegrity Structures by Combining Traditional Regression and Deep Learning Approaches

Abstract: A tensegrity-based system is a promising approach for dynamic exploration of uneven, unpredictable, and confined environments. However, implementing such systems presents challenges in state ...