Conferences & Events
- Algorithms & Theory
- Climate & Sustainability
- Conferences & Events
- Data Management
- Data Mining & Modeling
- Distributed Systems & Parallel Computing
- Economics & Electronic Commerce
- Education Innovation
- General Science
- Generative AI
- Global
- Hardware & Architecture
- Health & Bioscience
- Human-Computer Interaction and Visualization
- Machine Intelligence
- Machine Perception
- Machine Translation
- Mobile Systems
- Natural Language Processing
- Networking
- Open Source Models & Datasets
- Photography
- Product
- Programs
- Quantum
- RAI-HCT Highlights
- Responsible AI
- Robotics
- Security, Privacy and Abuse Prevention
- Software Systems & Engineering
- Sound & Accoustics
- Speech Processing
- Year in Review
-
April 10, 2024
SOAR: New algorithms for even faster vector search with ScaNN- Algorithms & Theory ·
- Conferences & Events ·
- Data Mining & Modeling
-
March 4, 2024
Google at APS 2024- Conferences & Events ·
- Quantum
-
February 2, 2024
Intervening on early readouts for mitigating spurious features and simplicity bias- Conferences & Events ·
- Machine Intelligence ·
- Responsible AI
-
December 15, 2023
StyleDrop: Text-to-image generation in any style- Conferences & Events ·
- Generative AI ·
- Machine Perception
-
December 10, 2023
Google at NeurIPS 2023- Conferences & Events
-
December 6, 2023
Google at EMNLP 2023- Conferences & Events
-
November 3, 2023
Best of both worlds: Achieving scalability and quality in text clustering- Algorithms & Theory ·
- Conferences & Events ·
- Generative AI
-
October 25, 2023
Grammar checking at Google Search scale- Conferences & Events ·
- Machine Intelligence ·
- Product
-
October 4, 2023
Scalable spherical CNNs for scientific applications- Conferences & Events ·
- Machine Intelligence
-
October 2, 2023
Google at ICCV 2023- Conferences & Events
-
September 28, 2023
DynIBaR: Space-time view synthesis from videos of dynamic scenes- Conferences & Events ·
- Machine Perception ·
- Photography
-
September 21, 2023
Distilling step-by-step: Outperforming larger language models with less training data and smaller model sizes- Conferences & Events ·
- Machine Intelligence ·
- Natural Language Processing