From concrete to community: How synthetic data can make urban digital twins more humane

Urban digital twins pull together tremendous amounts of data to realistically model cities, but they’ve been missing a ...
eLife

Visuomotor mismatch EEG responses in occipital cortex of freely moving human subjects

This valuable study demonstrates that self-motion strongly affects neural responses to visual stimuli, comparing humans moving through a virtual environment to passive viewing. However, evidence that ...
GitHub

csce585-mlsystems/cae_cylinder

Predicts velocity and pressure fields for various Reynolds numbers. Integrates CAE for dimensionality reduction and reconstruction. Uses LSTM to capture temporal dynamics for short-term predictions.
Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera images ...
IEEE

Radio Frequency Sensing–Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models

Abstract: To meet the need for a reliable, contactless, and noninvasive sensing platform for emotion recognition, The one-dimensional (1D) time-series signal dataset obtained using the designed ...
Tech Xplore

Machine learning algorithm rapidly reconstructs 3D images from X-ray data

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

Ai2 releases Olmo 3 open models, rivaling Meta, DeepSeek and others on performance and efficiency

The Allen Institute for AI (Ai2) unveiled Olmo 3, a new generation of open language models that it says outperforms rivals ...
GitHub

xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion

Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing interest, it remains ...

Meta SAM 3 Open-Source AI Models Can Detect, Track and Construct 3D Models of Objects in Images

In two separate blog posts, the Menlo Park-based tech giant detailed the new AI models. There are three models in total. SAM 3 for image and video tracking and segmentation, SAM 3D Objects for ...
BuzzFeed on MSN

38 Products You’ll Take A Look At Once And Say “Ooooh, Fun!”

In the intro, it says the page instructions are all up to interpretation, so if it says 'spill your drink' or something, you ...
IEEE

From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion

While weakly supervised multi-view face reconstruction (MVR) is garnering increased attention, one critical issue still remains open: how to effectively interact and fuse multiple image information to ...