IEEE

Reframing Software Log Summarisation as Multi-Label Classification with Encoder–Decoder Transformer Model

Abstract: As software systems become more advanced and capable of meeting sophisticated demands, they also become more complex. Consequently, software system logs, which are the most effective tool ...
IEEE

Advanced 3D U-Net and Encoder-Decoder CNN Models for Brain Tumor Segmentation in MRI

Abstract: Deep learning models have aided in streamlining the segmentation process of Magnetic Resonance Imaging (MRI) scans. Still, the variability of brain tumors presents challenges and underscores ...
GitHub

Implicit Neural Representation Facilitates Unified Universal Vision Encoding

This repository contains code and models for vision transformers that generate representations which not only do well for standard recognition tasks (classification, segmentation), but also support ...
Reuters

Exclusive: Meta's new AI team delivered first key models internally this month, CTO says

Meta Superintelligence Labs team was formed last year CTO says new models 'very good' Company had faced criticism over performance of Llama 4 model DAVOS, Switzerland, Jan 21 (Reuters) - Meta ...