Jeff Dean
Chief Scientist of Google | Co-Founder, Google Brain | Architect of MapReduce, TensorFlow & Gemini
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Jeff Dean. Every entry undergoes editorial source verification.
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Co-architected TensorFlow, the open-source computation graph framework that unified distributed deep learning execution across mobile devices, CPU servers, GPU clusters, and TPU pods, catalyzing the deep learning revolution.
Static computational graph compilation initially hindered dynamic Pythonic debugging compared to eager execution paradigms.
Gemini: A Family of Highly Capable Multimodal Models
Co-led the executive and technical direction of Gemini, designed natively from the ground up to interleave and reason across text, image, video, audio, and code tokens across Google TPU v4 and TPU v5e supercomputing pods.
Interleaved audio-video processing requires aggressive token pruning to sustain real-time serving latency.