Search Results for "machine learning"
Chipmunk Introduces Training-Free Acceleration for Diffusion Transformers
Chipmunk leverages dynamic sparsity to accelerate diffusion transformers, achieving significant speed-ups in video and image generation without additional training.
NVIDIA Unveils NV-Tesseract Models to Revolutionize Time-Series Data Processing
NVIDIA introduces NV-Tesseract, a model family transforming time-series data analysis, enhancing anomaly detection, forecasting, and classification across industries including finance and healthcare.
NVIDIA Unveils Llama-Nemotron Dataset to Enhance AI Model Training
NVIDIA has released the Llama-Nemotron dataset, containing 30 million synthetic examples, to aid in the development of advanced reasoning and instruction-following models.
Kaggle Competition Winner Reveals Stacking Strategy with cuML
Kaggle Grandmaster Chris Deotte shares insights on winning the April 2025 Kaggle competition using stacking with cuML, leveraging GPU acceleration for fast and efficient modeling.
NVIDIA's R²D²: Transforming Robotic Assembly with Advanced Manipulation Techniques
Explore NVIDIA's R²D² advancements in robotic assembly, leveraging AI and machine learning for enhanced adaptability and precision in contact-rich manipulation tasks.
Chainalysis Hexagate: Revolutionizing DeFi Security with Machine Learning
Chainalysis Hexagate leverages pattern recognition and machine learning to proactively identify and mitigate DeFi threats, flagging $402.1 million in risky assets in Q1 2025.
NVIDIA RAPIDS Enhances Machine Learning with Zero-Code Acceleration and Performance Gains
NVIDIA's RAPIDS introduces zero-code acceleration for machine learning, boosts IO performance, and supports out-of-core XGBoost training, streamlining data science workflows.
NVIDIA's cuML Enhances Tree-Based Model Inference with Forest Inference Library
NVIDIA's cuML 25.04 introduces enhancements to the Forest Inference Library, boosting tree-based model inference performance with new features and optimizations.
GitHub Explores AI and ML: Insights and Best Practices
GitHub Blog delves into AI and ML, offering insights from engineers and thought leaders on concepts, techniques, and real-world applications.
NVIDIA Enhances LLMOps for Efficient Model Evaluation and Optimization
NVIDIA introduces advanced LLMOps strategies to tackle challenges in large language model deployment, focusing on fine-tuning, evaluation, and continuous improvement, as demonstrated in collaboration with Amdocs.
NVIDIA Advances ML in Manufacturing with CUDA-X Data Science
NVIDIA leverages CUDA-X data science to optimize chip manufacturing workflows, addressing challenges like dataset imbalance and enhancing model performance.
RAPIDS Introduces GPU Polars Streaming and Unified GNN API Enhancements
NVIDIA's RAPIDS suite version 25.06 unveils new features including GPU Polars streaming, a unified GNN API, and zero-code ML speedups, enhancing Python data science capabilities.