Spiking neural networks (SNNs) mimic biological nervous systems. Using event-driven computation and communication, SNNs achieve very low power consumption. However, two important issues have persisted. First, directly training SNNs has not yielded competitive inference accuracy. Second, non-spike inputs must be […]
GStreamer is a popular open-source framework for creating streaming media applications. Developers often use GStreamer to streamline the development of computer vision and audio perception applications. Since perceptual algorithms are often quite demanding in terms of processing performance, in many […]
An unforeseen change in the input data is called “drift,” and may impact the accuracy of machine learning models. In this talk, we present a novel scheme for diagnosing data drift in the input streams of image classification neural networks. […]
One of the main challenges when deploying computer vision models to the edge is optimizing the model for speed, memory and energy consumption. In this talk, we’ll provide a comprehensive survey of model compression approaches, which are crucial for harnessing […]
Join us to hear about the new Hailo-15 AI vision processor family, specifically designed to empower smart cameras with unprecedented AI capabilities. In this talk, we’ll explain how the Hailo-15 family of processors—with performance ranging from 7 to 20 tera […]
As AI is increasingly integrated into various industries, concerns about its potential to reproduce or exacerbate bias have become widespread. While the use of AI holds the promise of reducing bias, it can also have unintended consequences, particularly in high-stakes […]
Extremely efficient edge AI requires more than efficient processors; it also requires tools capable of generating superefficient software. In this talk, we’ll explain and demonstrate how DEEPX’s DXNN SDK utilizes state-of-the-art optimization techniques to generate extremely efficient, accurate code for […]
