Real-world robotic-manipulation system - Amazon Science
Amazon Research Award recipient Russ Tedrake is teaching robots to manipulate a wide variety of objects in unfamiliar and constantly changing contexts.| Amazon Science
Amazon Research Award recipient Russ Tedrake is teaching robots to manipulate a wide variety of objects in unfamiliar and constantly changing contexts.| Amazon Science
The collaboration will support research, education, and outreach efforts in areas of mutual interest, beginning with artificial intelligence and robotics.| Amazon Science
The switch to WebAssembly increases stability, speed.| Amazon Science
Amazon joins the US DOE’s Bio-Optimized Technologies to keep Thermoplastics out of Landfills and the Environment (BOTTLE™) Consortium, focusing on materials and recycling innovation.| Amazon Science
The Neural Information Processing Systems (NeurIPS) annual meeting fosters the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in…| Amazon Science
Assessing the absolute utility of query results, rather than just their relative utility, improves learning-to-rank models.| Amazon Science
Time series forecasting enables up-to-the-minute trend recognition, while novel two-step training process improves forecast accuracy.| Amazon Science
Tailoring neighborhood sizes and sampling probability to nodes’ degree of connectivity improves the utility of graph-neural-network embeddings by as much as 230%.| Amazon Science
Launched under the auspices of the KDD Cup at KDD 2022, the competition included the release of a new product query dataset.| Amazon Science
AWS service enables machine learning innovation on a robust foundation.| Amazon Science
Novel “checkpointing” scheme that uses CPU memory reduces the time wasted on failure recovery by more than 92%.| Amazon Science
Amazon advocates for updating carbon accounting to measure where renewable-energy projects will have the greatest impact.| Amazon Science
Theoretical analysis provides insight into the optimization process during model training and reveals that for some optimizations, the Gaussian attention kernel may work better than softmax.| Amazon Science
Using large language models to discern commonsense relationships can improve performance on downstream tasks by as much as 60%.| Amazon Science
Novel architectures and carefully prepared training data enable state-of-the-art performance.| Amazon Science
Amazon's approach to customer-obsessed science. Get the latest news about innovations in artificial intelligence and machine learning, including job opportunities, publications, conferences, events and more.| Amazon Science
New modeling approach increases accuracy of recommendations by an average of 7%.| Amazon Science
EMNLP papers examine constrained generation of rewrite candidates and automatic selection of information-rich training data.| Amazon Science
Learn more about Amazon's research in the field of large language models (LLMs) and generative AI.| Amazon Science
Amazon is helping develop standards for post-quantum cryptography and deploying promising technologies for customers to experiment with.| Amazon Science
Private aggregation of teacher ensembles (PATE) leads to word error rate reductions of more than 26% relative to standard differential-privacy techniques.| Amazon Science
Calibrating noise addition to word density in the embedding space improves utility of privacy-protected text.| Amazon Science
Technique that mixes public and private training data can meet differential-privacy criteria while cutting error increase by 60%-70%.| Amazon Science
Amazon Scholar Joan Feigenbaum talks about two cryptographic techniques that are being used to address cloud-computing privacy concerns and accelerate enterprise cloud adoption.| Amazon Science
Self-supervised training, distributed training, and knowledge distillation have delivered remarkable results, but they’re just the tip of the iceberg.| Amazon Science
MASSIVE dataset and Massively Multilingual NLU (MMNLU-22) competition and workshop will help researchers scale natural-language-understanding technology to every language on Earth.| Amazon Science
Attribute-controlled fine-tuning can produce LLMs that adhere to policy while achieving competitive performance on general benchmarks.| Amazon Science
Find the latest news about scientific innovation at Amazon, including awards, collaborations, and challenges in artificial intelligence (AI) and machine learning (ML).| Amazon Science
Early on, Giovanni Paolini knew little about machine learning — now he’s leading new science on artificial intelligence that could inform AWS products.| Amazon Science
Come build the future of entertainment with us. Are you interested in helping shape the future of movies and television? Do you want to help define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to excitin...| Amazon Science
Prize honors Amazon senior principal scientist and Penn professor for a protocol that achieves a theoretical limit on information-theoretic secure multiparty computation.| Amazon Science
Method enables machine-checkable proofs of SAT solvers’ decisions on incremental SAT problems, in which problem constraints are gradually imposed over time.| Amazon Science
Collaborative filtering and beyond.| Amazon Science
Optimizations for Amazon's Graviton2 chip boost efficiency, and formal verification shortens development time.| Amazon Science
SOSP paper describes lightweight formal methods for validating new S3 data storage service.| Amazon Science
Meet Amazon Science’s newest research area.| Amazon Science
CAV keynote lecture by the director of applied science for AWS Identity explains how AWS is making the power of automated reasoning available to all customers.| Amazon Science
ICSE paper presents techniques piloted by Amazon Web Services’ Automated Reasoning team.| Amazon Science
Both secure multiparty computation and differential privacy protect the privacy of data used in computation, but each has advantages in different contexts.| Amazon Science
Generative AI raises new challenges in defining, measuring, and mitigating concerns about fairness, toxicity, and intellectual property, among other things. But work has started on the solutions.| Amazon Science
New language data will find immediate adoption by Barcelona Supercomputing Center.| Amazon Science
