“The Navy has always depended on its ability to sense, interpret, and respond to the environment,” said NRL’s Information ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

Software-defined ISP replaces fixed hardware with neural networks, promising real-time image quality gains and over-the-air ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Abstract: In recent years, hybrid convolutional neural networks (CNNs) and Transformer-based object detection technologies have achieved remarkable success. In the field of remote sensing image ...

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM ...

There was an error while loading. Please reload this page.

Abstract: In recent years, with the emergence of convolutional neural networks, object detection technology has made rapid progress. However, object detection in remote sensing images remains a ...

AUSTIN, Texas— Eagle Eye Networks today introduced Eagle Eye Gun Detection, a new security layer for schools, institutions of higher education and communities that works with existing security cameras ...