Python library for adaptive Gaussian mixture state estimation. Useful for navigation and tracking in nonlinear non-Gaussian systems. Capable of incorporating negative information and other imprecise ...

Pytorch implementation of the paper 'Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding' (AAAI2024). Implemented an auto ...

Abstract: Clustering is a fundamental task in machine learning and data mining. The success of deep learning, especially deep generative models, has given birth to the next generation of clustering - ...

Alibaba Group Holding Ltd. today released an artificial intelligence model that it says can outperform GPT-5.2 and Claude 4.5 Opus at some tasks. The new algorithm, Qwen3.5, is available on Hugging ...

AMD is in a celebratory mood after AI research firm Zyphra successfully trained its cutting-edge, large-scale Mixture-of-Experts (MoE) model, ZAYA1, entirely on AMD’s accelerated computing platform, ...

Who needs a revamped Mac Pro when you can just turn several Mac Studios into a unified computing system? With the upcoming macOS Tahoe 26.2 release, Apple is introducing a new low-latency feature that ...

What would a Tesla be without controversy and split opinions? The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The ...

What if the most complex AI models ever built, trillion-parameter giants capable of reshaping industries, could run seamlessly across any cloud platform? It sounds like science fiction, but Perplexity ...

Microsoft's MAI-1-preview model is the software company's first model trained internally from start to finish, executive Mustafa Suleyman said. The company is testing it on a public website and is ...