Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Research scientist focused on machine learning and natural language understanding, with work spanning machine translation, semantic parsing, and large-scale language modeling.

Aakanksha Chowdhery is a machine learning researcher based in New York City. She works on large-scale machine learning across pre-training, post-training, inference, and system efficiency, and is known for contributions such as PaLM, Pathways, and Gemini.

Research scientist and engineer focused on machine learning, computer vision, and natural language processing.

Research scientist working on large language models, reasoning, agents, and reinforcement learning.

Jiahui Yu is a research scientist at Google DeepMind working on multimodal learning and large language models.

Research Scientist at Google DeepMind in London working on large multimodal models, evaluation, agents, and computer vision; he completed a PhD at the University of Tuebingen and MPI for Intelligent Systems.

Computer scientist and reinforcement learning researcher, Professor at University College London, and former Principal Research Scientist at DeepMind.

Senior Staff Research Scientist at Google DeepMind working on machine learning, with a focus on efficient inference and training algorithms for large language and vision-language models.

Rishabh Singh is a research scientist at Google DeepMind working on human-centered AI, programming systems, and AI for software and problem solving. His work spans program synthesis, code intelligence, education, and interactive AI systems.

Research engineer focused on frontier multimodal AI systems; a founding member of Google's Gemini core team who previously helped start OpenAI's multimodal team.

Research scientist at Meta working on multimodal machine learning and AI. Previously worked on multimodal learning at Google DeepMind and earned a PhD in computer vision and machine learning from Ecole des Ponts ParisTech.

Member of Technical Staff at Google DeepMind working on machine learning, natural language processing, and large language models.

VP of Research at Google DeepMind working on robotics and embodied intelligence, with expertise in machine learning, reinforcement learning, neuroscience, and computer vision.

Distinguished Scientist at Google Research and one of the inventors of the transformer architecture; his work also includes language models, speech recognition, and multi-agent reinforcement learning.

Research scientist at Google DeepMind interested in large language models and mathematical reasoning. He earned a Ph.D. in mathematics from Columbia University.

Yun-Hsuan Sung is a machine learning researcher focused on multimodal learning, robotics, and representation learning.

Distinguished software engineer at Google Brain focused on large-scale computer systems and machine learning applications.

Aäron van den Oord is a Google DeepMind researcher known for generative and sequence-model research.

HyoukJoong Lee is a research scientist at Google DeepMind. His public work includes long-context and multimodal model research, including Gemini 1.5 and Gemini Diffusion.

Senior Staff Research Scientist at Google DeepMind working on AI for science, imaging, geometry processing, and differentiable simulation; previously at Adobe and NVIDIA.

Research scientist at Google with public work on machine learning systems, recommendation, fairness, and safety.

Staff research scientist at Google DeepMind and associate professor at Purdue University working on sequential decision making, machine learning, and algorithms.

Research scientist at Google DeepMind.

Research scientist at Google DeepMind whose public profile also lists prior AI infrastructure leadership at NVIDIA, founding Mesosphere, and earlier research roles at FAIR.