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  • Breaking down bias in AI applications

    August 2, 2022 | Startup Exchange Video | Duration: 9:57

    Applications built on machine learning algorithms are entrenching themselves everywhere, but they often bring major weaknesses that aren't discovered until after they are deployed.

  • Past Deadline: May 31, 2024

    P&G Optimizing Retail Marketing (End Caps & Shelving)

    partnership

    P&G LATAM seeks emerging technology and solutions that can help them further optimize their retail marketing and understand performance and sales uplift. 

  • GAN blind spots
    November 8, 2019 | MIT News Office

    Visualizing an AI model’s blind spots

  • Themis AI Card
    ThemisAI logo black and white
    August 4, 2022 | Startup Feature

    Breaking down bias in AI applications

  • Past Deadline: Feb 20, 2020

    New! Exhibitors-only for MIT Autonomy Conference April 8

    speaker

    Understanding current state-of-the-art and anticipating major advances for autonomous systems, either in product development or on the manufacturing floor, is critical for many industries. The conference has three major themes:
      * Autonomous vehicles (land, air, and sea)
      * Autonomous manufacturing
      * Platforms for autonomous systems – connectivity, infrastructure, and socio-economic implications of autonomy and policies

  • Tonio Buonassisi

    4.28.22-AI-Manufacturing-Sustainability

    April 28, 2022 | Startup Exchange Video | Duration: 122:52

    Xinterra pioneered the combined use of high throughput experimentation and artificial intelligence applied to materials, seeking efficient approaches to overcome slowness, high costs and overall limitation to innovation imposed by traditional materials R&D processes. Buonassisi will discuss Xinterra's combined use of high throughput experimentation and artificial intelligence applied to materals.

  • Jeffrey Chou

    5.5.22-Efficient-AI-Sync-Computing

    May 5, 2022 | Startup Exchange Video | Duration: 5:12

    Run data/ML jobs easier, faster and cheaper
  • Ikigai Labs

    El Dorado Hills, CA
    Software
    Ikigai is founded by Vinayak Ramesh (MIT Alum and Forbes 30 under 30) and Devavrat Shah (MIT Professor of EECS, Director Statistics & Data Science). It is building a modern computing platform for data to bring AI-driven decision making to everyone with “one click.” At its core, Ikigai’s technology... More
    Keywords:
    One Click AI, AI Bots, Process Automation
    Ikigai Logo Color
  • September 19, 2024 | MIT News Office

    New AI JetPack accelerates the entrepreneurial process

  • June 3, 2025 | MIT News Office

    Teaching AI models what they don’t know

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