RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Research scientist at Google DeepMind interested in efficient and reliable language models, reasoning, and model security. His personal site also highlights prior work on planning, geometry, and representation learning.

Senior staff research scientist at Google DeepMind whose work spans large language model post-training and pretraining data.

Research scientist at Google DeepMind on the Gemini team, working on multimodal AI.

Lucas Beyer is an ML researcher at Google DeepMind in Zurich. His public homepage highlights prior work at Google Brain and a PhD at ETH Zurich.

David Karamcheti is a research scientist at Google DeepMind whose public homepage highlights work on multimodal foundation models and embodied intelligence.

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

Google researcher whose public profile says he joined Google in September 2008 and has been with the Google Brain team since January 2015, with interests spanning information retrieval, learning to rank, machine learning, machine translation, and natural language processing.

Staff research scientist at Google DeepMind interested in deep learning theory and applications, with a focus on scaling and reinforcement learning.

Sarath Chandar is an associate professor at Polytechnique Montreal, a core academic member of Mila, and a CIFAR AI Chair. His research focuses on continual learning, reasoning, meta-learning, reinforcement learning, and recurrent neural networks.

Principal researcher and research manager at Microsoft Research AI Frontiers in Cambridge, UK.

Ivo Danihelka is a research scientist at Google DeepMind whose public profile highlights deep learning research and machine learning publications.

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

Research scientist at Google DeepMind based in Paris, focused on deep learning and computer vision.

Aidan Gomez is the CEO and co-founder of Cohere and a coauthor of the Transformer paper Attention Is All You Need.

Professor of Electrical and Computer Engineering at KAUST whose research focuses on machine learning and AI, including edge intelligence, tinyML, efficient AI, and uncertainty-aware learning.

Research scientist at Google DeepMind focused on multimodal and embodied AI. His work covers computer vision, video understanding, and machine learning for interactive systems.

Senior staff research scientist at Google DeepMind and assistant professor at the Czech Technical University in Prague.

Research scientist at Google DeepMind focused on long-context and memory-augmented models. His public profile describes work on architectures and algorithms that help models reason over real-world data.

Founder and CEO of Google DeepMind, leading AI research and product development; his work spans AI, neuroscience, game playing, and structural biology.

Research scientist on the Gemini team at Google DeepMind working on improving efficiency and accessibility in machine learning.

OpenAI engineer and researcher focused on infrastructure and silicon, credited on GPT-4 and GPT-4V for training execution, distributed training infrastructure, and hardware correctness.

Rishabh Kabra is a research scientist at Google DeepMind. His public homepage highlights work on machine learning systems and large-scale language model research.

Staff research scientist at Google DeepMind in Cambridge, Massachusetts. His public profile says he works on translating human values and institutional constraints into tests and safeguards for foundation models.

Vice President of Product at Google DeepMind and head of the Google DeepMind product team.