Tech Xplore

Interrupting encoder training in diffusion models enables more efficient generative AI

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...
IEEE

SEDN: A Spatiotemporal Encoder-Decoder Network for End-to-End Object Removal Forgery Detection in High-Resolution Videos

Abstract: With the growing popularity of high-resolution (HR) video and the continuous growth of network bandwidth, the challenge of object removal detection in HR videos has attracted significant ...
GitHub

Gradle: Debian and RPM package names are hard-coded for AMD64/x86_64 architecture

logisim-evolution / logisim-evolution Public Notifications You must be signed in to change notification settings Fork 775 Star 6.2k ...
marktechpost

Meet mmBERT: An Encoder-only Language Model Pretrained on 3T Tokens of Multilingual Text in over 1800 Languages and 2–4× Faster than Previous Models

Why was a new multilingual encoder needed? XLM-RoBERTa (XLM-R) has dominated multilingual NLP for more than 5 years, an unusually long reign in AI research. While encoder-only models like BERT and ...
IEEE

TBE-Net: A Deep Network Based on Tree-Like Branch Encoder for Medical Image Segmentation

Abstract: In recent years, encoder-decoder-based network structures have been widely used in designing medical image segmentation models. However, these methods still face some limitations: 1) The ...
GitHub

8-bit Processor in Logisim

8-bit single-cycle processor based on the very simple 8-bit processor design from the University of Valladolid which can be seen here, created in logisim and with VHDL and Verilog implementations. You ...