Amazon: AI for Information Security/ Sustainability call for proposals

Name: Amazon: AI for Information Security/ Sustainability call for proposals
Application deadline: 07/05/24
General description:

AI for Information Security call for proposals

Seeking to fund machine learning research on the following topics in information security:

  1. Threat, intrusion, and anomaly detection for cloud security
  2. Generative AI and foundation models for information security
  3. Graph modeling and anomaly detection on graphs
  4. Learning with limited/noisy labels and weakly supervised learning
  5. ML for malware analysis and detection
  6. Finding security vulnerabilities using ML
  7. Causal inference for information security
  8. Zero/one-shot learning for information security
  9. Reinforcement learning for information security
  10. Protecting and preserving data privacy in the cloud
  11. Securing generative AI and foundation models

Funding: $80,000 for 1 year (Unrestricted funds)

https://www.amazon.science/research-awards/call-for-proposals/ai-for-information-security-call-for-proposals-spring-2024

Sustainability

Invites proposals for innovative projects that merge machine learning (ML) and artificial intelligence (AI) techniques with life cycle assessment (LCA) methodologies to support carbon abatement strategies. This call seeks to fund projects that address the challenges associated with generating consistent, transparent, and accurate carbon measurements.

Funding: Selected Principal Investigators (PIs) may receive the following:

  • Unrestricted funds, from $50,000 to $100,000
  • AWS credits: up to $40,000
  • Training resources, including AWS tutorials and hands-on sessions with Amazon scientists and engineers

https://www.amazon.science/research-awards/call-for-proposals/sustainability-call-for-proposals-spring-2024

 

Source: Foreign
Budget: $40,000 - $80,000 for 1 year (Unrestricted funds)
Number of research years: 1
Contact person: Robi, 2152, robertg@trdf.technion.ac.il; iris 1272, irisbr@technion.ac.il; Luba, lubak@technion.ac.il
Fields: Exact sciences and IT Field
Type of fund: The fund is not a competitive fund
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