The Guide is Peloton’s first strength-training product that runs on a physical device and also the first that uses AI technology. It turns any TV into an interactive personal training studio. Members have access to Peloton’s instructors, who lead classes […]
Convolutional neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run these models on resource-constrained devices. Quantization involves modifying CNNs to use smaller data types (e.g., switching from 32-bit floating-point values […]
Eventually, homes will become highly autonomous—powered by ubiquitous, connected, intelligent devices (sometimes referred to as ambient computing)—but this remains a distant vision. In the meantime, advanced presence sensing innovations from component manufacturers, software developers and smart home device companies are […]
In this talk, we will explore methods to transform large deep neural network (DNN) models into effective compact models. The transformation process that we focus on—from large to compact DNN form—is referred to as pruning. Pruning involves the removal of […]
In this presentation, we will introduce the essential aspects of training convolutional neural networks (CNNs). We’ll discuss the prerequisites for training, including models, data and training frameworks, with an emphasis on the characteristics of data needed for effective training. We […]
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 […]
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 […]
For a growing range of applications, deploying AI in the real world means running various models at the edge. Fortunately, powerful edge processors are increasingly capable of handling demanding AI workloads. But performance alone is not sufficient. To meet the […]
Computer vision systems for mobile autonomous machines experience a wide variety of real-world conditions and inputs that can be challenging to capture accurately in training datasets. Few autonomous systems experience more challenging conditions than those in orbit. In this talk, […]
