Very large underwater image datasets are generated every day that capture important information regarding the state of our oceans, but they cannot be efficiently analyzed with powerful computer vision and machine learning algorithms because water degrades images too severely for […]
Data augmentation is a method of expanding deep learning training datasets by making various automated modifications to existing images in the dataset. The resulting increased data diversity can enable a more accurate and robust model without the need to manually […]
It’s an exciting time to work in computer vision, mainly due to the technological advances in the area of deep learning. This talk is an introduction to some of the most important computer vision tasks that can be solved with […]
Machine learning aims to construct models that are predictive: accurate even on data not used during training. But how should we assess accuracy? (Hint: simply computing the average error on a pre-determined test set, while nearly universal, is frequently a […]
Today there are two paths towards autonomous vehicles. Mass-market automobiles continue to add more sensors and more compute power to enable increasingly sophisticated ADAS functionality. Separately, developers of robotic vehicles utilize high-end, industrial-grade sensors (lidar, cameras and radars) along with […]
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 […]
Learning at the Edge is the next frontier of Edge AI. Unlike inference, so far it has stayed on the fringe of industry focus, usually thought of as infeasible for practical applications. In her talk, Vera will shed light on […]
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. […]
