Join Frank Moesle, Software Department Manager at Valeo, and Junko Yoshida, veteran industry journalist, in a live on-stage interview focusing on trends and challenges in automotive technology, autono...

As edge computing demands smaller, more efficient models, knowledge distillation emerges as a key approach to model compression. We delve into the details of this process, exploring what knowledge dis...

Edge AI and vision are no longer science projects—some applications, such as automotive safety systems, have already achieved massive scale. But for every success story, there are many more edge AI an...

Optimizing execution time of long-term and large-scale SLAM algorithms is essential for real-time deployments on edge compute platforms. Faster SLAM output means faster map refresh rates and quicker d...

At the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In this presentation,...

In this talk, we’ll discuss emerging trends in generative AI for edge devices and the key role of transformer-based neural networks. We’ll review the distinct attributes of transformers, their advanta...