NeurIPS 2018: The state of AI
What a sold-out conference tells us about the future of artificial intelligence. Read more
We fundamentally believe that scientific innovation is essential to being the most customer-centric company in the world. It’s this ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.

Our scientists continue to publish, teach, and engage with the academic community, but one of the unique aspects of research at Amazon is our working backwards method applied to science.

Each research project starts with a customer pain point and a description of how a scientific solution will improve the customer experience.

Amazon at ICML 2018

Amazon scientists to present at the International Conference on Machine Learning.

Amazon at ACL 2018

At the Association for Computational Linguistics (ACL), Amazon researchers present tools for natural-language understanding.

  • Knowledge management and data quality
    DEEQU - Data Quality Validation for Machine Learning Pipelines
    Author: Sebastian Schelter, Philipp Schmidt, Tammo Rukat, Mario Kiessling, Andrey Taptunov, Felix Biessmann, Dustin Lange
    Conference: NeurIPS 2018
    Our research

  • Software systems and engineering
    Continual Learning in Practice
    Author: Tom Diethe, Tom Borchert, Eno Thereska, Borja de Balle Pigem, Cedric Archambeau, Neil Lawrence
    Conference: NeurIPS 2018
    Our research

  • ML algorithms and theory
    Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients
    Author: Yu Chen, Tom Diethe, Neil Lawrence
    Conference: NeurIPS 2018
    Our research

  • ML algorithms and theory
    Mutual Information Guided Distillation for Transfer Learning
    Author: Sung-soo Ahn, Shell Hu, Zhenwen Dai, Andreas Damianou, Neil D. Lawrence
    Conference: NeurIPS 2018
    Our research

  • Conversational AI
    Flexible and Scalable State Tracking for Goal-Oriented Dialog Systems
    Author: Rahul Goel, Tagyoung Chung, Dilek Hakkani-tur, Shachi Paul, Jeremie Lecomte
    Conference: NeurIPS 2018
    Our research

  • Natural language processing
    Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning
    Author: Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak, Parminder Bhatia, Busra Celikkaya, Matthieu Liger, Taha Kass-hout
    Conference: NeurIPS 2018
    Our research

Expanding the Natural-Language Processing community

Amazon helps sponsor second annual Widening Natural-Language Processing workshop.

Alexa's newest teacher is you

A team of Amazon linguists and data scientists makes it easy for you to teach your language or dialect to Alexa.

Making AI more accurate

Amazon and University of Sheffield researchers make fact extraction and verification dataset publicly available.

Amazon joins Partnership on AI

We’re in a golden age of Machine Learning and Artificial Intelligence (AI). As a scientific community, we are still a long way from being able to do things the way humans do things, but we’re solving unbelievably complex problems every day and making incredibly rapid progress.

Announcing the teams competing for the $3.5 million Alexa Prize

Teams will create socialbots that can converse with humans on a range of topics.

Amazon scientists present at conversational AI workshop

Workshop among the most popular at sold out NIPS Conference
Unlocking climate data
The Amazon Sustainability Data Initiative is leveling the
playing field to allow researchers to access
and analyze massive datasets at a scale
like never before.
See how
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