Embodied & Physical AI: AI in Robotics Panel - Moving from Simulated to Real Environments (Multimodal Learning for Sensorimotor Control & Self-Supervised Learning in the Real-World) Read more about Embodied & Physical AI: AI in Robotics Panel - Moving from Simulated to Real Environments (Multimodal Learning for Sensorimotor Control & Self-Supervised Learning in the Real-World)
On-Device AI: Advantcements in Quantization and Pruning Read more about On-Device AI: Advantcements in Quantization and Pruning
On-Device AI: Securing Edge AI - Federated Learning, Differential Privacy & FHE, Adversarial Robustness at the Edge Read more about On-Device AI: Securing Edge AI - Federated Learning, Differential Privacy & FHE, Adversarial Robustness at the Edge
On-Device AI: Advantages of Analog AI for Edge Use Cases Read more about On-Device AI: Advantages of Analog AI for Edge Use Cases
On-Device AI: Sensor Fusion for Realtime AI - Techniques, Models and Real-World Implementations Read more about On-Device AI: Sensor Fusion for Realtime AI - Techniques, Models and Real-World Implementations
On-Device AI: Open-Source AI at the Edge: Frameworks, Models & Deployment Strategies Read more about On-Device AI: Open-Source AI at the Edge: Frameworks, Models & Deployment Strategies
On-Device AI: Tradeoffs for Edge-Based SLMs - Performance, Accuracy & Efficiency Read more about On-Device AI: Tradeoffs for Edge-Based SLMs - Performance, Accuracy & Efficiency
On-Device AI: Use Case: Applications for SLMs Read more about On-Device AI: Use Case: Applications for SLMs
On-Device AI: Miniaturizing & Optimizing Language Models for Deployment on Edge Devices Read more about On-Device AI: Miniaturizing & Optimizing Language Models for Deployment on Edge Devices