LLM

Towards Scalable and Structured Understanding in Visual LLMs

Mohamed Elhoseiny, Associate Professor, Computer Science

Feb 23, 12:00 - 13:00

B9 L2 R2325

LLM Visual Language Models VLMs visual computing

In this talk, we explore a suite of recent advances toward scalable, structured video comprehension using Large Vision Language Models (Video LLMs).

KAUST advances scalable AI through global collaboration

1 min read · Wed, Nov 12 2025

machine learning LLM Federated learning Distributed algorithms

KAUST brings global experts together to advance scalable AI and tackle the challenges of training large models.

From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs

Peter Richtarik, Professor, Computer Science

Sep 16, 16:00 - 17:00

B1 L3 R3119

AI machine learning optimization algorithms LLM

This talk introduces the Ball-Proximal Point Method, a new foundational algorithm for non-smooth optimization with surprisingly fast convergence, and Gluon, a new theoretical framework that closes the gap between theory and practice for modern LMO-based deep learning optimizers.

Ahmar Husain

Visiting Student, Computer, Electrical and Mathematical Sciences and Engineering

Cyber Security Malware Analysis LLM

From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs

Peter Richtarik, Professor, Computer Science

Sep 4, 12:00 - 13:00

B9 L2 R2325

AI machine learning optimization algorithms LLM

This talk introduces the Ball-Proximal Point Method, a new foundational algorithm for non-smooth optimization with surprisingly fast convergence, and Gluon, a new theoretical framework that closes the gap between theory and practice for modern LMO-based deep learning optimizers.

From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs

Peter Richtarik, Professor, Computer Science

Sep 15, 12:00 - 13:00

B9 L2 R2325

AI machine learning optimization algorithms LLM

This talk introduces the Ball-Proximal Point Method, a new foundational algorithm for non-smooth optimization with surprisingly fast convergence, and Gluon, a new theoretical framework that closes the gap between theory and practice for modern LMO-based deep learning optimizers.

Muhammad Samiullah

Intern, Cyber Security and Resilience Technology

cybersecurity ML FPGA LLM

Cyber Security, FPGA security, AI/ML security

AI for Chips and Chips for AI

Mehdi Saligane, Assistant Professor, Electrical and Computer Engineering, Brown University, USA

May 4, 12:00 - 13:00

B9 L2 R2325

artificial intelligence AI semiconductors innovation LLM

This seminar presents a unified "AI for Chips & Chips for AI" approach, demonstrating how AI enhances semiconductor design while specialized silicon accelerates AI computation, creating a rapid innovation cycle.

Rising stars, global impact: KSA at the forefront of AI innovation

1 min read · Tue, Apr 22 2025

AI Generative AI and LLMs LLM

KAUST showcases global AI talent to power Saudi Arabia’s rise as a hub for innovation and leadership in artificial intelligence.

Harnessing Multi-modal AI and Machine Learning for Next-Generation 6G Networks

Asmaa Abdallah, Research Scientist, Electrical and Computer Engineering

Apr 27, 12:00 - 13:00

B9 L2 R2325

LLM machine learning 6G wireless communication Digital signal processing

This seminar explores how multi-modal AI and large language models can optimize future 6G wireless networks by integrating diverse data sources to enhance reliability, efficiency, and overall performance.

Making LLMs Agentic: How Tool Use and Synthetic Data Drive Real-World Intelligence

Ibrahim Abdelaziz, Senior Research Scientist, IBM

Apr 13, 16:00 - 17:00

B2/3 L0 R0215

LLM machine learning artificial intelligence AI

This talk presents advancements in agentic AI, focusing on creating and utilizing datasets and models that enable Large Language Models to effectively interact with external tools for real-world applications.

Juexiao Zhou

Ph.D. Student, Computer Science

Deep learning Medical imaging Security and Privacy LLM

Ines Pinto Gouveia

Postdoctoral Research Fellow, Cyber Security and Resilience Technology

resilience Fault-Tolerant Computing intrusion tolerance cybersecurity FPGA LLM

Working towards building safe, secure and resilient systems.