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, autonomous driving and ADAS. First up: Sensor fusion is often touted as the […]
When developing computer vision-based products, getting from a proof of concept to a robust product ready for deployment can be a massive undertaking. The most vexing challenges in this process often relate to the “long-tail problem,” which arises when datasets […]
Modern electronics products in domains such as virtual reality, augmented reality, home robots and cars deploy multiple cameras for advanced computer vision and AI use cases. These cameras are used for object detection, object tracking, object recognition, SLAM, hand tracking, […]
In this presentation we introduce radar for machine perception. Radar is a proven technology with a long history in various market segments and continues to plays an increasingly important role in robust perception systems. We’ll delve into the fundamental principles […]
In this presentation, we’ll provide practical guidance on overcoming key challenges in deploying AI at the edge, including remotely managing containerized models in resource-constrained environments using scalable, purpose-built infrastructure. We’ll also cover selecting and integrating the right hardware and software […]
Imagine a world where AI systems automatically detect thefts in grocery stores, ensure construction site safety and identify patient falls in hospitals. This is no longer science fiction, as companies today are building powerful applications that integrate visual content with […]
Transformer neural networks have revolutionized artificial intelligence by introducing an architecture built around self-attention mechanisms. This has enabled unprecedented advances in understanding sequential data, such as human languages, while also dramatically improving accuracy on nonsequential tasks like object detection. In […]
As large language models (LLMs) and vision-language models (VLMs) have quickly become important for edge applications from smartphones to automobiles, chipmakers and IP providers have struggled with how to adapt processor software stacks. In this talk, Expedera’s Ram Tadishetti examines […]
What occurs between the moment a commercial fishing vessel departs from shore and its return? How sustainable is its catch? Current frameworks often rely on self-reporting, which can result in errors or misrepresentation, particularly regarding bycatch. By equipping fishing vessels […]
The deployment of large language models (LLMs) in resource-constrained environments is challenging due to the significant computational and memory demands of these models. To address this challenge, various quantization techniques have been proposed to reduce the model’s resource requirements while […]
Want to contact us?
Use the small blue chat widget in the lower right-hand corner of your screen, or the form linked below.
STAY CONNECTED
Follow us on Twitter and LinkedIn.
