Google AI Blog
- Generative AI to quantify uncertainty in weather forecasting
- AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
- Computer-aided diagnosis for lung cancer screening
- Using AI to expand global access to reliable flood forecasts
- ScreenAI: A visual language model for UI and visually-situated language understanding
- SCIN: A new resource for representative dermatology images
- MELON: Reconstructing 3D objects from images with unknown poses
- HEAL: A framework for health equity assessment of machine learning performance
- Cappy: Outperforming and boosting large multi-task language models with a small scorer
- Talk like a graph: Encoding graphs for large language models
- Chain-of-table: Evolving tables in the reasoning chain for table understanding
- Health-specific embedding tools for dermatology and pathology
- Social learning: Collaborative learning with large language models
- Croissant: a metadata format for ML-ready datasets
- Google at APS 2024
- VideoPrism: A foundational visual encoder for video understanding
- Advances in private training for production on-device language models
- Learning the importance of training data under concept drift
- DP-Auditorium: A flexible library for auditing differential privacy
- Graph neural networks in TensorFlow
- A decoder-only foundation model for time-series forecasting
- Intervening on early readouts for mitigating spurious features and simplicity bias
- MobileDiffusion: Rapid text-to-image generation on-device
- Mixed-input matrix multiplication performance optimizations
- Exphormer: Scaling transformers for graph-structured data