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379 search results found
  • Adaviv

    Adaviv: Bringing Plant-Level Data and Insights to Agriculture

    September 21, 2023 | Startup Exchange Video | Duration: 13:6

    Adaviv provides a cultivation productivity tool to growers of high-value crops and enables them to de-risk while improving, top and bottom lines via increased yield and quality, while also gaining labor and resource savings. The crop care software operates in greenhouses and indoor farms, providing early alerts of pests, diseases and stress and tracks plant growth for continual cultivation improvement over every crop cycle.

  • Fri, June 5, 2020 | Workshop

    30 Minutes with MIT Startups: Big Data & Digital Identity for Covid-19 & Beyond

    Virtual Event

    Join MIT Startup Exchange to hear from MIT-connected startups who are focusing efforts on aspects of COVID-19.

  • MIMIC Chest X-Ray
    February 1, 2019 | MIT News Office

    MIMIC Chest X-Ray database to provide researchers access to over 350,000 patient radiographs

  • Data compression
    April 16, 2019 | MIT News Office

    A novel data-compression technique for faster computer programs

  • COVID-19 Datathon judges
    July 1, 2020 | MIT News Office

    What is the Covid-19 data tsunami telling policymakers?

  • Datacenter efficiency
    February 21, 2019 | MIT News Office

    Achieving greater efficiency for fast data center operations

  • February 16, 2024 | MIT News Office

    Stitch3D is powering a new wave of 3D data collaboration

  • Past Deadline: Jan 14, 2022

    START.nano 2022 call for applications

    other

    Apply to MIT.nano’s hard-tech accelerator offering early-stage startups discounted access to our toolsets and facilities. Participating startups will have access to tools and other advantages that can help them develop their prototypes, validate the data, and position their companies for the next stage of growth.

  • Past Deadline: Apr 7, 2023

    START.NANO 2023 CALL FOR APPLICATIONS

    other

    Apply to MIT.nano’s hard-tech accelerator offering early-stage startups discounted access to our toolsets and facilities. Participating startups will have access to tools and other advantages that can help them develop their prototypes, validate the data, and position their companies for the next stage of growth.

  • Counting search queries
    April 3, 2019 | MIT News Office

    Machine learning moves popular data elements into a bucket of their own

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