Customer-obsessed science
-
September 30, 2024From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money.
-
September 19, 2024“Agentic workflows” that use multiple, fine-tuned smaller LLMs — rather than one large one — can improve efficiency.
-
September 16, 2024A position paper presented at ACL proposes a framework for more-accurate human evaluation of LLMs.
-
-
September 29 - October 4, 2024
-
October 21 - 25, 2024
-
September 25, 2024
Now open until November 6, Amazon Research Awards will be seeking proposals in the following research areas: AI for Information Security, Automated Reasoning, AWS AI, AWS Cryptography, and Sustainability.
-
KDD 2023 Workshop on Artificial Intelligence for Computational Advertising (AdKDD)2023User activity sequence modeling has significantly improved performance across a range tasks in advertising spanning across supervised learning tasks like ad response prediction to unsupervised tasks like robot and ad fraud detection. Self-supervised learning using autoregressive generative models has garnered interest due to performance improvements on time series and natural language data. In this paper
-
KDD 2023 Workshop on Artificial Intelligence-Enabled Cybersecurity Analytics2023Rapid growth of deep learning models in recent years for robot and fraud detection has led to significant improvement in precision and recall but has also created a challenge for explainability and trust in the model decisions. In this paper, we propose a scalable multitiered framework that generates explainable network request level signatures for crawler bots on a large e-commerce advertising program.
-
ACM COMPASS 2023, NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning2023Consumer products contribute to more than 75% of global greenhouse gas (GHG) emissions, primarily through indirect contributions from the supply chain. Measurement of GHG emissions associated with products is a crucial step toward quantifying the impact of GHG emission abatement actions. Life cycle assessment (LCA), the scientific discipline for measuring GHG emissions, estimates the environmental impact
-
ICCV 20232023Traditional Unsupervised Domain Adaptation (UDA) leverages the labeled source domain to tackle the learning tasks on the unlabeled target domain. It can be more challenging when a large domain gap exists between the source and the target domain. A more practical setting is to utilize a large-scale pre-trained model to fill the domain gap. For example, CLIP shows promising zero-shot generalizability to bridge
-
UAI 20232023Item-to-Item (I2I) recommendation is an important function that suggests replacement or complement options for an item based on their functional similarities or synergies. To capture such item relationships effectively, the recommenders need to understand why subsets of items are co-viewed or co-purchased by the customers. Graph-based models, such as graph neural networks (GNNs), provide a natural framework
Resources
-
We look for talent from around the world for applied scientists, data scientists, economists, research scientists, scholars, academics, PhDs, and interns.
-
We collaborate with leading academic organizations to drive innovation and to ensure that research is creating solutions whose benefits are shared broadly.
-
Learn more about the awards and recognitions that Amazon researches from around the world have been honored with during their tenure.