Skip to main content
Member Resources
MIT
In This Section

Nonmember User Menu

  • Contact
  • Member Resources
Home
MIT
In This Section

Main navigation

  • Engage
    • Why CSAIL Alliances?
    • Paths of Engagement
    • Case Studies
    • Spotlights
    • CSAIL Virtual Lab Tours
    • Research to Reality
  • Current Members
  • Events
  • Professional Programs
  • Insights
    • Podcasts
    • Research
    • Videos
  • About Us
    • Director's Message
    • Team
    • Visit CSAIL
    • Contact
    • Frequently Asked Questions
  • Search
Filter Options
In This Section

Main navigation

  • Engage
    • Why CSAIL Alliances?
    • Paths of Engagement
    • Case Studies
    • Spotlights
    • CSAIL Virtual Lab Tours
    • Research to Reality
  • Current Members
  • Events
  • Professional Programs
  • Insights
    • Podcasts
    • Research
    • Videos
  • About Us
    • Director's Message
    • Team
    • Visit CSAIL
    • Contact
    • Frequently Asked Questions
  • Search
Filter Options
In This Section

Nonmember User Menu

  • Contact
  • Member Resources
MLA Year 4 Final Report
  • MachineLearningApplications@CSAIL
Combining Symbolic Logic with Transformers for Interpretable and Controllable LLMs
  • MachineLearningApplications@CSAIL
Combinatorial Foundation Models
  • MachineLearningApplications@CSAIL
Towards Resource Efficient and Interpretable Bias Mitigation in Natural Language Generation
  • MachineLearningApplications@CSAIL
Provably secure LLMs
  • MachineLearningApplications@CSAIL
Addressing Issues Related To Trustworthy, Responsible AI, Hallucination - Mitigated Models
  • MachineLearningApplications@CSAIL
Guidelines for Writing a Scope of Work Agreement
  • Industry
  • MachineLearningApplications@CSAIL
  • MIT Future of Data, Trust, and Privacy
  • Startups
  • FinTech@CSAIL
  • SystemsThatLearn@CSAIL

The Scope of Work (SOW) is the portion of sponsored research agreement where the work to be performed is described. The SOW should contain any milestones, reports, deliverables, and end products that are expected to be provided by the performing party. The SOW should also contain a timeline for all deliverables.

MachineLearningApplications@CSAIL Initiative Welcome Packet
  • Industry
  • MachineLearningApplications@CSAIL

CSAIL's newest initiative, MachineLearningApplications@CSAIL (MLA@CSAIL), is led by renowned researcher and MIT CSAIL Director, Professor Daniela Rus. As part of this initiative, you will be connected to cutting edge research, new technologies, top talent and innovative new startups.

Subscribe to MachineLearningApplications@CSAIL
CSAIL Alliances

MIT CSAIL Alliances
Ray and Maria Stata Center
32 Vassar Street
Cambridge, MA 02139

Captioning & Accessibility requests

© 2021 MIT CSAIL Alliances