Large Language Models for Real World Applications

Towards a New Era of Artificial Intelligence Active Inference and DishBrain

3D Vision: Point Cloud Analysis and RGBD Saliency Detection

AI and Digitalization in Energy Sector

Tokenizers for Arabic text classification an empirical study

How is AI/ML changing ICE optimization?

Fuel Design and Property Prediction using Machine Learning

Building 3D GANs

The Application of Artificial Neural Networks to the Optimal Power Flow Problem

Multiple optimization techniques were used in the literature to solve the OPF problem including Lagrangian, simplex, interior point, and heuristics...

Multimodal Machine Learning: Concepts, Challenges and Future Directions

Whenever we as human beings, want to achieve a goal, we need first make observations, collect data (sensing), build a mental model and then reason ...

Deep Reinforcement Learning: Fundamentals and Applications

Deep reinforcement learning is a recent machine learning technique that is getting more attention.

Solving Big World Problems with the Intelligent Edge

GPU Revolution – Towards Exascale Computing (Applications in Scientific Simulations, Data Science...

Multiple optimization techniques were used in the literature to solve the OPF problem including Lagrangian, simplex, interior point, and heuristics...

Build End-to-End Machine Learning Projects and Manage Large-Scale Experiments

In this tutorial, the best practices for building large-scale reproducible machine Learning projects will be discussed.

Women in Data Science Workshop

JRCAI is co-organizing with the WiDS@Dhahran team to host the Stanford Global Women in Data Science Conference in KFUPM.