CAI2023

PANEL: Artificial Intelligence for Autonomous Driving

PANEL: Adversarial ML: Lesson Learned, Challenges & Opportunities

PANEL: “Explainable AI: Current Challenges and Future Perspectives”

PANEL: Power Grid Operations and Planning Under Uncertainty: How Can AI Help Address Existing Challenges?

Explainable Deep Machine Learning Methods in Detecting Diseases

Can Self-supervised Models Make a Difference in Real-world Drug Discovery?

A Survey of AI for Drug R&D and Why Explainable AI Matters

IEEE CAI 2023: Closing Remarks

Distributed Artificial Intelligence for Smart Grid Operations and Management

Role of AI in Enabling Carbon Free Energy Transition through Predictive Maintenance

Revisiting the Economics of Large Language Models with Neural Scaling Laws and Dynamic Sparsity

Evolutionary Computation for Energy Applications: An Overview and Future Perspectives