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Amazon Science – Amazon Research Awards

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Amazon Science – Amazon Research Awards

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Applications for the (Northern) Fall 2024 Round of Amazon Research Awards close 6 November 2024.

Depending on the research area, up to USD$100,000 in unrestricted funding is available, plus AWS Promotional Credits.

Research Areas

AI for Information Security – advancing possible solutions for some of the most challenging problems for information security

  • Threat, intrusion, and anomaly detection for cloud security
  • Generative AI and foundation models for information security
  • Graph modeling and anomaly detection on graphs
  • Learning with limited/noisy labels and weakly supervised learning
  • ML for malware analysis and detection, with a focus on cloud environments or devices
  • Finding security vulnerabilities using ML
  • Causal inference for information security
  • Zero/one-shot learning for information security
  • Reinforcement learning for information security
  • Protecting and preserving data privacy in the cloud
  • Securing generative AI and foundation models

 

Automated Reasoning – systems assurance by mathematical proof

  • Automated reasoning
  • Abstract interpretation
  • Correct-by-construction software
  • Dafny
  • Efficient reasoning with quantifiers
  • Improvements to SAT, SMT, and CHC solvers
  • Model checking
  • Novel applications of automated reasoning
  • Provable Privacy
  • Software synthesis and optimization
  • Software verification, e.g., C, Rust, Java
  • Static analysis
  • Theorem proving
  • The use of automated reasoning to improve generative AI techniques
  • Using automated reasoning in combination with generative AI techniques
  • Verification of distributed protocols and systems
  • Verification of randomized algorithms

 

AWS AI  – advancing the frontiers of machine learning

  • Generative AI
  • Governance and responsible AI
  • Distributed training
  • Machine learning compilers and compiler based optimizations

 

AWS Cryptography – setting the standard for cryptography at Amazon

  • Primitives and protocols
  • Open source and verification
  • Theory and novel applications

 

Sustainability – data validation, life cycle assessment, biodiversity and more

  • Validating sustainability data at scale
  • Machine learning applications for life cycle assessment
  • Data-driven sustainable product design and manufacturing
  • Climate risk assessment
  • Biodiversity
  • Lower-carbon cement and concrete
  • Responsible supply chain
  • CO2 Mineralization

 

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