Can AI Find Physics Beyond the Standard Model?

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...
GitHub

CAN: A simple, efficient and scalable contrastive masked autoencoder for learning visual representations

Official PyTorch implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations". The original implementation was in JAX+TPU. This ...
GitHub

Anomaly Detection in Stock Prices using LSTM Autoencoder

This project shows how to find anomalies in financial time series data, specifically the stock values of Apple (AAPL), using a LSTM Autoencoder. Stock price anomalies may be a sign of major market ...
TechRadar

Best IDE for Python of 2026

We list the best IDE for Python, to make it simple and easy for programmers to manage their Python code with a selection of specialist tools. An Integrated Development Environment (IDE) allows you to ...
IEEE

Autoencoder Architectures for Low-Rate Sparse Point Cloud Geometry Coding

Abstract: Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain ...
IEEE

Masked Autoencoder via End-to-End Zero-Shot Learning for Fault Diagnosis of Unseen Classes

Abstract: This study confronts a demanding fault diagnosis task where no sensor signals from the target faults can be utilized for model training. Considering semantic descriptions of the target (or ...