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 […]

The increasing complexity of AI models has led to a growing need for efficient data storage and processing. One critical way to gain efficiency is using smaller and simpler data types. In this presentation, we explore the trade-offs in data […]

In the domain of AI vision, we have seen an explosion of models that can reliably detect objects of various types, from people to license plates. While these models are impressive, in real-world applications we often need to differentiate between […]

Designing a camera system requires a deep understanding of the fundamental principles of image formation and the physical characteristics of its components. Translating computer vision-based system requirements into camera system parameters is a crucial step. In this talk, we will […]

Artificial intelligence agents are components in an AI system that can perform tasks autonomously, making decisions and taking actions on their own. In this talk, we’ll explore the concept of AI agents, their benefits and how they can revolutionize AI […]