When developing a new edge AI solution, you want to focus on your system’s unique functionality. In this session, we will share the different foundational developer kits available from Intel’s partners to help speed your edge AI solution development. These […]
The ability to perform neural network inference in resource-constrained devices is fueling the growth of machine learning at the edge. But application solutions require more than just inference—they also incorporate aggregation and pre-processing of input data, and post-processing of inference […]
As AI applications at the edge become pervasive, there’s growing interest in deploying AI on standard hardware platforms such as general-purpose CPUs. But are CPUs sufficient? In this roundtable discussion, we’ll explore the question: Does AI really require GPUs and […]
New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI devices with small, low-cost, low-power cameras. Synaptics has embarked on a roadmap of edge-AI DNN processors […]
In this presentation, Ian Riches will look at the key applications and use cases that are driving rapid adoption of vision systems in automotive applications, and where other sensor types, such as RADAR and LiDAR fit into this picture. He’ll […]
Recent advancements in machine learning have enabled market innovators to build insights from IoT sensors in the wild. These insights can be used to solve complex real-world challenges. The lack of security in typical vision-based IoT solutions is especially concerning, […]
