Al-Qassim Award Medal for Excellence and Creativity

The Center won the Qassim Award for Excellence and Innovation. The Director was invited to attend...

AI Agents Forum: Applications in Healthcare and Education

The Center hosted three distinguished international scholars to present informative seminars on A...

AI Crash Courses

AI Crash Courses: a series of engaging webinars focused on the fundamentals and real-world applic...

Skill Up Forum & Exhibition: Driving Transformational Change through Professional Development - Day 3

The center was invited to attend and participate in the ''2nd Annual AI Skill-Up Forum and Exhibi...

Towards Edge Intelligence and Collaborative Machine Learning

Recent years have witnessed a massive growth of mobile and internet-connected devices being embed...

Automated Extraction, Characterization, and Mitigation of Cyber Threats based on Analyzing Unstructured CTI Reports

Cyber Threat Intelligence (CTI) reports are widely used for sharing cyber threat incident and inf...

RoboClinic: Automating Machine Learning for Healthcare

Autonomous Machine Learning (AutoML) involves the automation of core ML modules in a deployment a...

The Need for Causality to Address Fairness in ML

Addressing the problem of fairness is crucial to safely use machine learning algorithms to suppor...

Machine Learning Essentials: Implications of Model's Approximation

This is the second education seminar on physics-guided machine learning. The focus is on model’s ...

An Overview on Physics Guided Machine Learning

This is the first of two educational seminars overviewing physics-guided machine learning. In the...

Physics-Informed Machine Learning for Seismic Modeling and Inversion

Machine learning is fast emerging as a potential disruptive tool to tackle longstanding research ...

Self-Supervised Learning: Approaches and Applications

Developing intelligent systems using machine learning approaches has relied heavily on high-quali...

Efficient Computational Approaches and Their Applications to Smart Grids

In this talk, efficient computational approaches to game theoretic model, large scale optimizatio...

Large Language Models for Real World Applications

Machine language understanding and generation has been undergoing rapid improvements due to recen...

Towards a New Era of Artificial Intelligence Active Inference and DishBrain

In this talk, the speaker demonstrates the (first-ever) neural computation device – the DishBrain...

3D Vision: Point Cloud Analysis and RGBD Saliency Detection

To improve the effectiveness of existing networks in analyzing point cloud data, we propose a plu...

AI and Digitalization in Energy Sector

Digitization has enabled the redefinition and effective transformation of various industries and ...

Tokenizers for Arabic text classification an empirical study

The first step in any NLP pipeline is to split the text into individual tokens. The most obvious ...

How is AI/ML changing ICE optimization?

The talk is to introduce our latest advancements in the application of Artificial Intelligence (A...

Fuel Design and Property Prediction using Machine Learning

Transportation fuels like gasoline and diesel are a cocktail of several thousand individual molec...

Building 3D GANs

Generative models for image synthesis achieved remarkable success in recent years and enjoy a lot...

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 L...

Solving Big World Problems with the Intelligent Edge

The intelligent edge is bringing exciting new technology into our lives making them much more eff...