New brain-computer interface AI model improves real-world EEG data while advancing Zyphra's mission to develop human-aligned ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic rays—particles arriving at high speed from outer space.

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 ...

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

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 ...

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 ...

Abstract: Pedestrian trajectory prediction is crucial for enabling dynamic obstacle avoidance in social robots. Variational autoencoders (VAEs) have shown potential in predicting multimodal ...