The Friendship That Made Google $1.8 Trillion - YouTube
Jeff Dean - Wikipedia
projects Dean has worked on include:
- Original design of Protocol Buffers, an open-source data interchange format.
- Spanner, a scalable, multi-version, globally distributed, and synchronously replicated database
- Some of the production system design and statistical machine translation system for Google Translate
- Bigtable, a large-scale semi-structured storage system[6]
- MapReduce, a system for large-scale data processing applications[6]
- LevelDB, an open-source on-disk key-value store
- DistBelief, a proprietary machine-learning system for distributed training of deep neural networks. The "Belief" part is because it could be used to train deep belief networks. It was eventually refactored into TensorFlow. It was used to train the network in "the cat neuron paper".[12][14]
- TensorFlow, an open-source machine-learning software library. He was the primary designer and implementor of the initial system.[15]
- Pathways, an asynchronous distributed dataflow system for neural networks. It was used in PaLM
Ghemawat's work at Google includes:
- Original design of Protocol Buffers, an open-source data interchange format.
- MapReduce, a system for large-scale data processing applications.
- Google File System, is a proprietary distributed file system developed to provide efficient, reliable access to data using large clusters of commodity hardware.
- Spanner, a scalable, multi-version, globally distributed, and synchronously replicated database.
- Bigtable, a large-scale semi-structured storage system.
- LevelDB, an open-source on-disk key-value store.
- TensorFlow, an open-source machine-learning software library.
- Service Weaver, an open-source framework for writing distributed applications.
Sir Demis Hassabis is a British artificial intelligence (AI) researcher, and entrepreneur. He is the chief executive officer and co-founder of Google DeepMind,[8] and Isomorphic Labs,[9][10][11] and a UK Government AI Adviser.[12] In 2024, Hassabis and John M. Jumper were jointly awarded the Nobel Prize in Chemistry for their AI research contributions for protein structure prediction.
