Google AI Technology

Visual Blocks for ML: Accelerating machine learning prototyping with interactive tools Posted by Ruofei Du, Interactive Perception & Graphics Lead, […]

Bard now helps you code Bard can now help with programming and software development tasks, across more than 20 programming languages.

Recent advances in deep long-horizon forecasting Posted by Rajat Sen and Abhimanyu Das, Research Scientists, Google Research Time-series […]

Google DeepMind: Bringing together two world-class AI teamsWe announced some changes that will accelerate our progress in AI and help us develop more capable AI systems more safely and responsibly.

Responsible AI at Google Research: Technology, AI, Society and Culture Posted by Lauren Wilcox, Senior Staff Research Scientist, on behalf of the […]

Differentially private heatmaps Posted by Badih Ghazi, Staff Research Scientist, and Nachiappan Valliappan, Staff Software Engineer, Google […]

Beyond automatic differentiation Posted by Matthew Streeter, Software Engineer, Google Research Derivatives play a central role in optimization […]

Robotic deep RL at scale: Sorting waste and recyclables with a fleet of robots Posted by Sergey Levine, Research Scientist, and Alexander Herzog, […]

UniPi: Learning universal policies via text-guided video generation Posted by Sherry Yang, Research Scientist, and Yilun Du, Student Researcher, […]

Developing an aging clock using deep learning on retinal images Posted by Sara Ahadi, Research Fellow, Applied Science, and Andrew Carroll, Product […]

Ask a Techspert: What is generative AI? A Google AI expert answers common questions about generative AI, large language models, machine learning and more.

Towards ML-enabled cleaning robots Posted by Thomas Lew, Research Intern, and Montserrat Gonzalez Arenas, Research Engineer, Google Research, Brain […]

Directing ML toward natural hazard mitigation through collaboration Posted by Oren Gilon, Software Engineer, and Grey Nearing, Research Scientist, […]

How Project Starline improves remote communication Posted by Greg Blascovich and Eric Gomez, User Researchers, Google As companies settle into a […]

Pre-trained Gaussian processes for Bayesian optimization Posted by Zi Wang and Kevin Swersky, Research Scientists, Google Research, Brain Team […]

Scaling vision transformers to 22 billion parameters Posted by Piotr Padlewski and Josip Djolonga, Software Engineers, Google Research Large […]

Data-centric ML benchmarking: Announcing DataPerf’s 2023 challenges Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen […]

Watch Katie Couric and Think with Google’s new interview series Katie Couric hosts Future Ready by Think with Google, a new interview series featuring experts in AI, cybersecurity and psychology.

Leveraging transfer learning for large scale differentially private image classification Posted by Harsh Mehta, Software Engineer, and Walid […]

A shared agenda for responsible AI progress AI can be hugely beneficial to society if citizens, educators, academics, civil society and governments unite to shape it responsibly.