AI Institute at UofSC - #AIISC Courses

Edge-Centric LLMs: Optimizing for High-Throughput on Embedded Devices

Explore optimization techniques for deploying Large Language Models on embedded devices, focusing on high-throughput performance with Prof. Ramtin Zand.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

AI For Collaborative Autonomy

Explore collaborative autonomy in AI systems with Dr. Vignesh Narayanan, focusing on multi-agent coordination, decision-making, and real-world applications.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Custom, Targeted, and Neurosymbolic AI Models for Healthcare Applications

Explore the critical role of specialized AI models in healthcare, focusing on neurosymbolic approaches and compact solutions for improved medical applications and outcomes.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Towards Infusing Auxiliary Knowledge for Distracted Driver Detection

Discover how auxiliary knowledge and scene graphs enhance distracted driver detection systems, improving accuracy by 13.64% through innovative integration of visual cues and driver pose information.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Preparing for Research and Innovation Careers Through Graduate Studies

Gain insights into pursuing research and innovation careers in AI through graduate studies, from selecting programs and advisors to securing internships and publications at top institutions worldwide.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Evaluating and Rating AI Systems for Trust through a Causal Lens

Explore how causal analysis can enhance AI system evaluation and trust ratings, examining methodologies for more reliable and transparent artificial intelligence assessment.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Millimeter-Wave Wireless Sensing for Contactless Monitoring of Stroke Patients

Explore cutting-edge millimeter-wave technology for non-invasive stroke patient monitoring, focusing on wireless sensing methods and their practical medical applications.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Process Knowledge-Infused Neurosymbolic Learning and Reasoning

Discover how infusing process knowledge into AI systems enhances accuracy, explainability, and safety through expert-defined structures and neurosymbolic approaches.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Trustworthy Human-Robot Interaction Through Natural Language

Explore how natural language enables trustworthy human-robot interaction with Dr. Hongsheng He's research on communication frameworks and trust-building mechanisms between humans and robotic systems.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

LLMs For Neuroimaging Analysis

Explore how Large Language Models can revolutionize neuroimaging analysis with Professor Amit Sheth's insightful conference presentation.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Neuro-Symbolic AI for Mental Healthcare

Explore neuro-symbolic AI methods for enhancing mental healthcare interventions, focusing on social media data analysis, clinical knowledge integration, and improved conversational systems.

• YouTube
• 2 hours 27 minutes
• Self-Paced
• Free Video

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

Explore brain network analysis using Graph Neural Networks with BrainGB, a comprehensive benchmark for mapping human brain connectivity through structural and functional neuroimaging.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Knowledge-infused Learning for Autonomous Driving (KL4AD)

Explore knowledge-infused learning techniques for autonomous driving, focusing on neuro-symbolic AI and its potential to enhance interpretability, explainability, and robustness in real-world applications.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Transformers in Time Series: A Survey

Explore the application of Transformer models in time series analysis, covering recent advancements and potential future directions in this rapidly evolving field.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Rebooting AI: Building Artificial Intelligence We Can Trust - Part 1

Explore key insights from "Rebooting AI" in this book review, examining current AI limitations and future potential for more robust and reliable artificial intelligence systems.

• YouTube
• 59 minutes
• Self-Paced
• Free Video