Although it’s not widely known outside of the industry, computer vision is beginning to be used at scale in agriculture, where it is delivering meaningful improvements in efficiency and quality, with the potential for tremendous impact on how our food […]
There is an increasing need to bring machine learning to a wide diversity of hardware devices. Current frameworks rely on vendor-specific operator libraries and optimize for a narrow range of server-class GPUs. Deploying workloads to new platforms — such as […]
GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic signal timing in response to traffic demands. The system comprises an IP fisheye camera mounted above the roadway, connected […]
Machine learning has become a useful tool for many data-rich problems. However, its use in cyber-physical systems has been limited because of its need for large amounts of well-labeled data that must be tailored for each deployment, and the large […]
OpenVX is a mature computer vision and machine learning API standard by the Khronos group, developed to be a novel, open and royalty-free standard for cross-platform acceleration. Real-world computer vision and machine learning applications are still in their infancy, and […]
Comcast’s Xfinity Home connects millions of home smart cameras and IoT devices to improve our customers’ safety and security. Our teams use computer vision and deep learning to understand video and sensor data from these devices to identify relevant events […]
The landscape of processors and tools for accelerating inferencing and vision applications continues to evolve rapidly. Khronos standards, such as OpenCL, OpenVX, SYCL and NNEF, play an increasingly central role in connecting application developers to the latest silicon—productively, efficiently and […]
Due to the great success of deep neural networks (DNNs) in computer vision and other machine learning applications, numerous specialized processors have been developed to execute these algorithms with reduced cost and power consumption. The diverse range of specialized processors […]
I will describe our journey at Twenty BN towards building an AI-powered personal trainer that runs on your phone. The trainer takes the form of an on-screen avatar that watches and listens to you using the phone’s camera and microphone. […]
Quantization is a key technique to enable the efficient deployment of deep neural networks. In this talk, we present an overview of techniques for quantizing convolutional neural networks for inference with integer weights and activations. We explore simple and advanced […]
