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Uber AI

Uber AI is at the heart of AI-powered innovation and technologies at Uber. AI research and its applications solve challenges across the whole of Uber.

Uber AI, Data / ML, Engineering

Elastic Distributed Training with XGBoost on Ray

July 7, 2021 / Global

Uber AI, Engineering

Fraud Detection: Using Relational Graph Learning to Detect Collusion

May 21, 2021 / Global

Uber AI

Applying Machine Learning in Internal Audit with Sparsely Labeled Data

March 2, 2021 / Global

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Stay up to date with the latest from Uber Engineering

Uber AI, Engineering

Ludwig v0.3 Introduces Hyperparameter Optimization, Transformers and TensorFlow 2 support

October 6, 2020 / Global

Uber AI, Engineering

Fiber: Distributed Computing for AI Made Simple

June 30, 2020 / Global

Uber AI, Data / ML

Inside Uber ATG’s Data Mining Operation: Identifying Real Road Scenarios at Scale for Machine Learning

June 2, 2020 / Global

Uber AI

Meta-Graph: Few-Shot Link Prediction Using Meta-Learning

May 29, 2020 / Global

Uber AI, Engineering

Announcing a New Framework for Designing Optimal Experiments with Pyro

May 12, 2020 / Global

Uber AI

Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions

May 6, 2020 / Global

Uber AI

Under the Hood of Uber ATG’s Machine Learning Infrastructure and Versioning Control Platform for Self-Driving Vehicles

March 4, 2020 / Global

Uber AI, Data / ML

Building a Backtesting Service to Measure Model Performance at Uber-scale

February 13, 2020 / Global

Uber AI

Uber AI in 2019: Advancing Mobility with Artificial Intelligence

December 18, 2019 / Global

Uber AI

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

December 18, 2019 / Global

Engineering, Uber AI

Controlling Text Generation with Plug and Play Language Models

December 5, 2019 / Global

Uber AI, Engineering

Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations

December 4, 2019 / Global

Uber AI, Engineering

Uber Goes to NeurIPS 2019

December 4, 2019 / Global

Uber AI, Engineering

Announcing the 2020 Uber AI Residency

November 26, 2019 / Global

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Uber AI

Elastic Distributed Training with XGBoost on Ray

Fraud Detection: Using Relational Graph Learning to Detect Collusion

Applying Machine Learning in Internal Audit with Sparsely Labeled Data

Interested in joining Uber Eng?

Stay up to date with the latest from Uber Engineering

Ludwig v0.3 Introduces Hyperparameter Optimization, Transformers and TensorFlow 2 support

Fiber: Distributed Computing for AI Made Simple

Inside Uber ATG’s Data Mining Operation: Identifying Real Road Scenarios at Scale for Machine Learning

Meta-Graph: Few-Shot Link Prediction Using Meta-Learning

Announcing a New Framework for Designing Optimal Experiments with Pyro

Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions

Under the Hood of Uber ATG’s Machine Learning Infrastructure and Versioning Control Platform for Self-Driving Vehicles

Building a Backtesting Service to Measure Model Performance at Uber-scale

Uber AI in 2019: Advancing Mobility with Artificial Intelligence

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

Controlling Text Generation with Plug and Play Language Models

Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations

Uber Goes to NeurIPS 2019

Announcing the 2020 Uber AI Residency

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