The people who make Google, Google.

Thank you for steering Chrome and Android to billions of people and then betting the company on making AI genuinely helpful and broadly available.

Thank you for building DeepMind and for AlphaFold, which handed the whole world the structures of nearly every known protein and earned a share of the 2024 Nobel Prize in Chemistry.

Thank you for the systems that quietly power modern computing, from MapReduce and Bigtable to TensorFlow, and for co-founding the Brain team that reshaped machine learning.

Thank you for co-designing the storage and computation foundations, GFS, MapReduce, Bigtable, and Spanner, that let the web scale to everyone.

Thank you for work from sequence-to-sequence learning and AlphaStar to co-leading Gemini, pushing what a single model can perceive and do.

Thank you for years of foundational deep-learning research at DeepMind and for the work of carrying world-class models into products people actually use.

Thank you for AlphaGo and AlphaZero, which learned to master Go, chess, and shogi from self-play alone and showed the world what reinforcement learning could become.

Thank you for leading AlphaFold to solve protein structure prediction, a decades-old grand challenge, and giving biologists a gift that keeps accelerating discovery.

Thank you for co-founding DeepMind and for a lifetime of careful thinking about machine intelligence, helping popularize the very term AGI.

Thank you for large-scale unsupervised learning, sequence-to-sequence models, and AutoML, ideas that quietly power translation and modern language models.

Thank you for a decade of natural language research that reached billions through Search, Translate, and Assistant, and for helping lead Gemini today.

Thank you for advancing probabilistic and Bayesian machine learning and for leading Google Brain research with rigor and generosity toward the field.

Thank you for co-inventing the protocols the internet runs on and for continuing, at Google, to champion an open and accessible network for everyone.

Thank you for leading Google research and for Artificial Intelligence: A Modern Approach, the book that taught AI to generations of students.

Thank you for RISC and RAID and for bringing that architectural genius to Google's TPUs, the chips that make large-scale AI affordable.

Thank you for architecting Google's TPUs from the first generation onward and delivering the first to production in fifteen months, powering a decade of AI.

Thank you for quietly building the AI backbone, custom TPUs, the Jupiter network, and Axion CPUs, that keeps Google's models fast and available at planetary scale.

Thank you for designing the warehouse-scale data centers and energy-efficient infrastructure that made Google fast, reliable, and remarkably green.

Thank you for co-creating Go, a language whose simplicity and concurrency made a generation of cloud infrastructure a joy to build.

Thank you for co-designing Go and shepherding its type system and tooling, giving developers a language that is fast to write, read, and run.

Thank you for Unix and for bringing that timeless taste in systems to Google as a co-creator of Go, connecting five decades of computing craft.

Thank you for helping originate Kubernetes and for years of patient stewardship of its networking and APIs, work that reshaped how the world ships software.

Thank you for Kubernetes the Hard Way and countless talks that demystified cloud-native computing and welcomed so many engineers into the field with warmth.

Thank you for designing Android's application model and core system services, the invisible framework that makes billions of phones feel responsive and coherent.

Thank you for the hardware-accelerated rendering that made Android smooth and for open-sourcing Filament, a beautiful gift to graphics developers everywhere.

Thank you for tirelessly teaching the web to be fast, through Chrome, Lighthouse guidance, and books that raised the craft of front-end engineering.

Thank you for Chrome DevTools and Lighthouse, and for years of open web tooling that made debugging and measuring the web feel humane.

Thank you for co-creating TensorFlow and for foundational work on differential privacy, helping machine learning be both powerful and respectful of people.

Thank you for the financial discipline and steady stewardship that let Google invest boldly in research and infrastructure while staying grounded.

Thank you for growing Google Cloud into an enterprise-grade platform and for bringing Google's AI and data tools to businesses building the future.

Thank you for holding Google's technology to a broader test, connecting cutting-edge research with honest questions about its effect on people and society.

Thank you for a decade of work at Google and a lifetime of foundational research on neural networks that made the modern era of AI possible.

At Google Brain he helped design and build the very first Transformer, the architecture nearly every modern AI model now stands on.

Across 17 years at Google he shaped the Transformer, sparse Mixture-of-Experts, and then Gemini itself, ideas that quietly power a whole generation of AI.

Thirteen years at Google Brain, from early Translate to co-authoring the Transformer, and now he is turning that same attention toward RNA medicine.

Nearly twelve years at Google, and the Welsh engineer who literally named the paper that started the modern AI era.

He built and leads the DeepMind team behind AlphaFold, AlphaProof, and AlphaGenome, using AI to open real doors in biology, materials, and math.

His GANs, invented as a Google Brain scientist, taught machines to imagine, and he wrote the textbook a whole field learned deep learning from.

She co-founded Google Brain's ML-for-Systems team and taught AI to help design the very chips that AI runs on.

A neuroscientist who helped found Google Brain in 2011 and then pointed that power at medicine, from RankBrain to Med-PaLM and detecting eye disease.

He brought machine learning onto the phone in your pocket and invented Federated Learning so models can learn without ever taking your private data.

A giant of computational linguistics who has spent years at Google teaching machines to actually understand the way people write and speak.

The Godel Prize winner behind Google Duplex, Live Caption, and Med-PaLM, always aiming research at things that help people in real life.

For nearly two decades he made Search understand what people really mean, and led the leap that let it read a query in full context.

She keeps billions of people safe every day on the web's most-used browser, and oversees Project Zero, the team that hunts the internet's most dangerous bugs.

For a decade he shipped the Android in a billion pockets, from Nexus and Pixel to Android TV, and now turns AI toward hard-to-treat childhood cancers.

He helped design the TPU, the custom silicon that powers Search, Translate, and the training of Google's biggest models, and co-founded the MLPerf benchmark.

During nine years at Google he built Keras, the friendly front door through which countless people learned deep learning, and set an honest bar for what real intelligence should be.