IEEE

A Multitask CNN-Transformer Network for Semantic Change Detection From Bitemporal Remote Sensing Images

Abstract: Bitemporal remote sensing (RS) semantic change detection (SCD) involves discerning and categorizing changes in the same geographical area across two RS images taken at different times.

Meta’s AI Is Getting Better at Reading Your Thoughts—Without Cracking Open Your Skull

The company’s Brain2Qwerty v2 system can translate brainscans into coherent sentences, no invasive surgery required.
decrypt

Meta Unveils New Tech That Uses AI to Translate Brain Activity Into Text—Without Surgery

Add Decrypt as your preferred source to see more of our stories on Google. Meta introduced Brain2Qwerty v2, a non-invasive AI system that decodes brain activity into text. The model achieved 61% ...
Smithsonian Magazine

Scientists Have Deciphered the Surviving Fragments of a 2,000-Year-Old Philosophical Treatise Frozen in Time by Mount Vesuvius’ Eruption

The papyrus manuscript was part of a vast library preserved by volcanic ash. Now, the remaining passages—which examine ethics ...
IEEE

TransSea: Hybrid CNN–Transformer With Semantic Awareness for 3-D Brain Tumor Segmentation

Abstract: Accurate segmentation of brain tumors in multimodal magnetic resonance imaging (MRI) plays a crucial role in clinical quantitative assessments, diagnostic processes, and the planning of ...
GitHub

D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

"D2-Net: A Trainable CNN for Joint Detection and Description of Local Features". M. Dusmanu, I. Rocco, T. Pajdla, M. Pollefeys, J. Sivic, A. Torii, and T. Sattler ...