In this talk, we present alternative and more efficient methods of processing raw camera images using neural network accelerators. We begin by introducing Analog Devices’ convolutional neural network accelerator, MAX78000, and showing how it achieves superior performance and energy efficiency […]
When used correctly, transformer neural networks can deliver greater accuracy for less computation. But transformers are challenging for existing AI engine architectures because they use many compute functions not required by previously prevalent convolutional neural networks. In this talk, we […]
The trend of pushing AI/ML capabilities to the edge brings design challenges around the need to combine high-performance computing (for AI/ML algorithms) with low power consumption (to enable battery-powered sensing systems). Designers are often faced with a choice between using […]
As demand for AI grows, developers are attempting to squeeze more and more performance from accelerators. Ideally, developers would choose the accelerators best suited to their applications. Unfortunately, today many developers are locked into limited hardware choices because they use […]
In this talk, we present an overview of the DeGirum DeLight Cloud Platform, which accelerates the edge AI application development process by bringing together application software, machine learning models and AI accelerator hardware. The platform provides cloud access to multiple […]
The AI-ISP IP product from VeriSilicon is a revolutionary solution that adds AI functionality to image signal processing (ISP) while reducing the memory footprint and processing latency. Unlike conventional approaches that require the entire image frame to be stored in […]
The Qualcomm Snapdragon mobile platform powers the world’s best smartphones, XR headsets, PCs, wearables, automobiles and IoT products. These devices leverage the latest computer vision technologies that power Snapdragon’s ISP, AR/VR perception pipeline and advanced video capture features. In this […]
Over the past decade, deep neural networks have proven they can solve a wide range of visual perception problems. Semiconductor companies have invested billions of dollars in developing edge AI processors for deep learning. And thousands of companies have invested […]
Vision-based product developers have a vast array of processors to choose from. Unfortunately, each processor has its own unique tool chain. This makes it difficult for developers to evaluate processor options and target different processors for different product needs. Fortunately, […]
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 […]
