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Predicting a Ball Trajectory. Polynomial Fit in Python with NumPy | by Florian Trautweiler | Jan, 2025

Polynomial Fit in Python with NumPy Ball Tracking and Trajectory PredictionIn a previous project I visualized the trajectory of a ball that I threw vertically into the air with a real-time position, velocity and acceleration plot. Extending upon this project, I wanted to calculate and visualize a trajectory prediction based on a simple physics model.…

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ByteDance Research Introduces 1.58-bit FLUX: A New AI Approach that Gets 99.5% of the Transformer Parameters Quantized to 1.58 bits

Vision Transformers (ViTs) have become a cornerstone in computer vision, offering strong performance and adaptability. However, their large size and computational demands create challenges, particularly for deployment on devices with limited resources. Models like FLUX Vision Transformers, with billions of parameters, require substantial storage and memory, making them impractical for many use cases. These limitations…

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Genie 2: A large-scale foundation world model

Acknowledgements Genie 2 was led by Jack Parker-Holder with technical leadership by Stephen Spencer, with key contributions from Philip Ball, Jake Bruce, Vibhavari Dasagi, Kristian Holsheimer, Christos Kaplanis, Alexandre Moufarek, Guy Scully, Jeremy Shar, Jimmy Shi and Jessica Yung, and contributions from Michael Dennis, Sultan Kenjeyev and Shangbang Long. Yusuf Aytar, Jeff Clune, Sander Dieleman,…

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Multi-Agentic RAG with Hugging Face Code Agents | by Gabriele Sgroi, PhD | Dec, 2024

Using Qwen2.5–7B-Instruct powered code agents to create a local, open source, multi-agentic RAG system Photo by Jaredd Craig on UnsplashLarge Language Models have shown impressive capabilities and they are still undergoing steady improvements with each new generation of models released. Applications such as chatbots and summarisation can directly exploit the language proficiency of LLMs as…

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Why Accounts Receivable Automation Complements Your AP Strategy

Automation has revolutionized the way finance teams operate, with accounts payable (AP) automation being the go-to first step for businesses looking to improve efficiency and cut costs. Companies like Nanonets and Centime have made AP processes smarter, faster, and more streamlined through cutting-edge technology, while also paving the way for more comprehensive financial solutions. But…

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Microsoft and Tsinghua University Researchers Introduce Distilled Decoding: A New Method for Accelerating Image Generation in Autoregressive Models without Quality Loss

Autoregressive (AR) models have changed the field of image generation, setting new benchmarks in producing high-quality visuals. These models break down the image creation process into sequential steps, each token generated based on prior tokens, creating outputs with exceptional realism and coherence. Researchers have widely adopted AR techniques for computer vision, gaming, and digital content…

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AI Powers Predictive Insights for Material Testing and Performance Forecasting

Artificial intelligence (AI) transforms material testing and performance forecasting by integrating advanced algorithms with traditional engineering methods. This convergence enables precise predictions, reduces failure risks and accelerates innovation across the aerospace, construction and energy industries. The Role of AI in Material Testing AI enhances material testing by analyzing vast datasets to detect patterns that…

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