Zyphra today announced the release of ZUNA, the company's first foundation model trained on brain data. ZUNA significantly ...
AI is searching particle colliders for the unexpected ...
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: Pedestrian trajectory prediction is crucial for enabling dynamic obstacle avoidance in social robots. Variational autoencoders (VAEs) have shown potential in predicting multimodal ...
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 ...