Once the design is complete, testing usually happens on an FPGA (Field Programmable Gate Array). For anyone who has not encountered the term yet, an FPGA is a reprogrammable chip that you can program ...

From DIY levitation tricks to clever braking systems, these swirling paths of electrons keep finding new ways to surprise and inspire.

An AI model from Michigan analyzes MRI studies with over 30 sequences in just three seconds on a single GPU – as accurate as ...

Abstract: Recent studies in perceptual lossy compression have highlighted the advantage of stochastic coding with shared randomness between encoder and decoder, over deterministic encoding in the ...

CloudCap establishes a secure bridge between on-prem workflows and third-party captioners via cloud connectivity to ENCO DoCaption closed caption encoders When you purchase through links on our site, ...

Thanks for sharing this clean codebase to your cool paper and congrats to achieving sota. I got a general question which I did not understand from the paper and this codebase about the architecture ...

Understanding videos with AI requires handling sequences of images efficiently. A major challenge in current video-based AI models is their inability to process videos as a continuous flow, missing ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...