Hacker News
- Solomonic learning: Large language models and the art of induction https://www.amazon.science/blog/solomonic-learning-large-language-models-and-the-art-of-induction 9 comments
- Better-performing “25519” elliptic-curve cryptography https://www.amazon.science/blog/better-performing-25519-elliptic-curve-cryptography 89 comments
- MemoryDB: A fast and durable memory-first cloud database https://www.amazon.science/publications/amazon-memorydb-a-fast-and-durable-memory-first-cloud-database 53 comments
- A gentle introduction to automated reasoning https://www.amazon.science/blog/a-gentle-introduction-to-automated-reasoning 21 comments
- Do large language models need all those layers? https://www.amazon.science/blog/do-large-language-models-really-need-all-those-layers 82 comments
- Bringing code analysis tools to Jupyter notebooks https://www.amazon.science/blog/bringing-code-analysis-tools-to-jupyter-notebooks 6 comments
- Why Alexa won't wake up when hearing "Alexa" in Amazon's Super Bowl ad (2019) https://www.amazon.science/blog/why-alexa-wont-wake-up-when-she-hears-her-name-in-amazons-super-bowl-ad 120 comments
- Automated Reasoning at Amazon: A Conversation https://www.amazon.science/blog/automated-reasoning-at-federated-logic-conference-floc 11 comments
- 20B-parameter Alexa model sets new marks in few-shot learning https://www.amazon.science/blog/20b-parameter-alexa-model-sets-new-marks-in-few-shot-learning 86 comments
- New method identifies the root causes of statistical outliers https://www.amazon.science/blog/new-method-identifies-the-root-causes-of-statistical-outliers 53 comments
- Non-stationary A/B tests https://www.amazon.science/publications/non-stationary-a-b-tests 6 comments
- Amazon Redshift re-invented https://www.amazon.science/publications/amazon-redshift-re-invented 37 comments
- Computation reuse via fusion in Amazon Athena https://www.amazon.science/blog/speeding-database-queries-by-rewriting-redundancies 4 comments
- The science behind ultrasonic motion sensing for Echo https://www.amazon.science/blog/the-science-behind-ultrasonic-motion-sensing-for-echo 5 comments
- Amazon releases 51-language dataset for language understanding https://www.amazon.science/blog/amazon-releases-51-language-dataset-for-language-understanding 43 comments
- A gentle introduction to automated reasoning https://www.amazon.science/blog/a-gentle-introduction-to-automated-reasoning 30 comments
- Prime Video Uses WebAssembly https://www.amazon.science/blog/how-prime-video-updates-its-app-for-more-than-8-000-device-types 247 comments
- DynamoDB 10 years later https://www.amazon.science/latest-news/amazons-dynamodb-10-years-later 216 comments
- TSP solver wins $100k prize at Amazon's “Last Mile” ML Challenge (using no ML) https://www.amazon.science/academic-engagements/winning-last-mile-challenge-team-addresses-problem-of-combining-mathematical-routes-with-driver-knowledge 2 comments
- Amazon's ML University is making its online courses available to the public https://www.amazon.science/latest-news/machine-learning-course-free-online-from-amazon-machine-learning-university 48 comments
- Amazon scientists author popular deep-learning book https://www.amazon.science/latest-news/amazon-scientists-author-popular-deep-learning-book 5 comments
- Firecracker: Lightweight Virtualization for Serverless Applications https://www.amazon.science/publications/firecracker-lightweight-virtualization-for-serverless-applications 16 comments
- Question about the QR code navigation of warehouse robots https://www.amazon.science/latest-news/amazon-robotics-autonomous-drive-units-hercules-pegasus-xanthus-xbot 6 comments robotics
- Looking for guidance on where to start for product recommendation system https://www.amazon.science/publications/p-companion-a-principled-framework-for-diversified-complementary-product-recommendation 2 comments learnmachinelearning
- Amazon launches $500,000 Alexa Prize TaskBot Challenge 2 https://www.amazon.science/alexa-prize/taskbot-challenge/2022 2 comments languagetechnology
- Amazon Robotics Janus framework lifts continual learning to the next level https://www.amazon.science/latest-news/amazon-robotics-continual-learning-reinforcement-learning-janus-framework 2 comments robotics
- The science behind NFL Next Gen Stats’ new passing metric https://www.amazon.science/blog/the-science-behind-nfl-next-gen-stats-new-passing-metric 40 comments nfl
- ICML: Where causality meets machine learning [D] https://www.amazon.science/blog/icml-where-causality-meets-machine-learning 8 comments machinelearning
- How thousands of Amazon robots navigate congestion https://www.amazon.science/latest-news/how-amazon-robots-navigate-congestion 3 comments robotics
- [D] Amazon Releases a New Multilingual Dataset for NLU https://www.amazon.science/blog/amazon-releases-51-language-dataset-for-language-understanding 6 comments machinelearning
- UT Austin Researchers Demonstrate a Deep Learning Technique That Achieves High-Quality Image Reconstructions Based on MRI Datasets https://www.amazon.science/research-awards/recipients/jonathan-tamir 2 comments artificial
- Amazon Prime Video uses Wasm, and egui with 37,000 lines of Rust code https://www.amazon.science/blog/how-prime-video-updates-its-app-for-more-than-8-000-device-types 74 comments rust
- How Prime Video uses WebAssembly https://www.amazon.science/blog/how-prime-video-updates-its-app-for-more-than-8-000-device-types 215 comments programming
- Amazon’s DynamoDB — 10 years later https://www.amazon.science/latest-news/amazons-dynamodb-10-years-later 11 comments aws
- How F1 and AWS engineers collaborated on 2022 design specs (per Amazon) https://www.amazon.science/latest-news/the-science-behind-the-next-gen-2022-f1-car 16 comments formula1
- The science behind the next-gen Formula 1 car https://www.amazon.science/latest-news/the-science-behind-the-next-gen-2022-f1-car 2 comments formula1
- A conversation with economics Nobelists David Card and Guido Imbens https://www.amazon.science/latest-news/a-conversation-with-economics-nobelists-on-experimental-design 4 comments economics
- [R] Accurate Text normalization with only 3% as much training data using Proteno https://www.amazon.science/blog/text-normalization-with-only-3-as-much-training-data?_amp=true 2 comments machinelearning
- Amazon's Machine Learning University is making its online courses available to the public https://www.amazon.science/latest-news/machine-learning-course-free-online-from-amazon-machine-learning-university 40 comments datascience
- Amazon's Machine Learning University is making its online courses available to the public https://www.amazon.science/latest-news/machine-learning-course-free-online-from-amazon-machine-learning-university?es_id=8aea00348c 98 comments learnmachinelearning
Linking pages
- A gentle introduction to automated reasoning - Amazon Science https://www.amazon.science/blog/a-gentle-introduction-to-automated-reasoning 51 comments
- ICML: Where causality meets machine learning - Amazon Science https://www.amazon.science/blog/icml-where-causality-meets-machine-learning 8 comments
- Bringing code analysis tools to Jupyter notebooks - Amazon Science https://www.amazon.science/blog/bringing-code-analysis-tools-to-jupyter-notebooks 6 comments
- Speeding database queries by rewriting redundancies - Amazon Science https://www.amazon.science/blog/speeding-database-queries-by-rewriting-redundancies 4 comments
- Amazon launches Alexa Prize TaskBot Challenge 2 - Amazon Science https://www.amazon.science/alexa-prize/taskbot-challenge/2022 2 comments
- Formal verification makes RSA faster — and faster to deploy - Amazon Science https://www.amazon.science/blog/formal-verification-makes-rsa-faster-and-faster-to-deploy 1 comment
- 🏡Your guide to AI: Q1 2020, part 1 | Revue http://newsletter.airstreet.com/issues/your-guide-to-ai-in-q1-2020-part-1-2-212335 0 comments
- What Does It Take To Be a Tech Giant? | Miguel Rochefort https://miguelrochefort.com/blog/tech-giant/ 0 comments
- Unpacking The Data Hype - by Sarah Nöckel - Femstreet https://femstreet.substack.com/p/unpacking-the-data-hype 0 comments
- Emory University team wins Alexa Prize Grand Challenge 3 - Amazon Science https://www.amazon.science/latest-news/amazon-announces-2020-alexa-prize-winner-emory-university 0 comments
- Why ambient computing needs self-learning - Amazon Science https://www.amazon.science/blog/why-ambient-computing-needs-self-learning 0 comments
- GitHub - foorilla/allainews_sources: A list of online news & info sources in the AI/ML/Data Science space https://github.com/foorilla/allainews_sources 0 comments
- Auto Machine Translation and Synchronization for "Dive into Deep Learning" - Amazon Science https://www.amazon.science/blog/auto-machine-translation-and-synchronization-for-dive-into-deep-learning 0 comments
- Training large language models on Amazon SageMaker: Best practices | AWS Machine Learning Blog https://aws.amazon.com/blogs/machine-learning/training-large-language-models-on-amazon-sagemaker-best-practices/ 0 comments
- GitHub - xlang-ai/OpenAgents: OpenAgents: An Open Platform for Language Agents in the Wild https://github.com/xlang-ai/OpenAgents 0 comments
- GitHub - albumentations-team/albumentations: Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 https://github.com/albumentations-team/albumentations 0 comments