MIT Archives - insideAI News https://insideainews.com/tag/mit/ Illuminating AI's Frontiers: Your Go-To News Destination. Wed, 24 Jul 2024 22:22:40 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png MIT Archives - insideAI News https://insideainews.com/tag/mit/ 32 32 136462205 MIT News: How to Assess a General-purpose AI Model’s Reliability Before It’s Deployed https://insideainews.com/2024/07/24/mit-news-how-to-assess-a-general-purpose-ai-models-reliability-before-its-deployed/ https://insideainews.com/2024/07/24/mit-news-how-to-assess-a-general-purpose-ai-models-reliability-before-its-deployed/#respond Wed, 24 Jul 2024 10:00:00 +0000 https://insideainews.com/?p=35615 Researchers from MIT and the MIT-IBM Watson AI Lab developed a technique to estimate the reliability of foundation models before they are deployed to a specific task. They do this by considering a set of foundation models that are slightly different from one another. Then they use their algorithm to assess the consistency of the representations each model learns about the same test data point. If the representations are consistent, it means the model is reliable.]]> https://insideainews.com/2024/07/24/mit-news-how-to-assess-a-general-purpose-ai-models-reliability-before-its-deployed/feed/ 0 35615 Research Highlights: MIT Develops First Generative Model for Anomaly Detection that Combines both Reconstruction-based and Prediction-based Models https://insideainews.com/2023/02/20/research-highlights-mit-develops-first-generative-model-for-anomaly-detection-that-combines-both-reconstruction-based-and-prediction-based-models/ https://insideainews.com/2023/02/20/research-highlights-mit-develops-first-generative-model-for-anomaly-detection-that-combines-both-reconstruction-based-and-prediction-based-models/#respond Mon, 20 Feb 2023 14:00:00 +0000 https://insidebigdata.com/?p=31665 Kalyan Veeramachaneni and his team at the MIT Data-to-AI (DAI) Lab have developed the first generative model, the AutoEncoder with Regression (AER) for time series anomaly detection, that combines both reconstruction-based and prediction-based models. They’ve been building it for three years—AER has been learning and extracting intelligence for signals and has reached maturity to outperform the market’s leading models significantly.]]> https://insideainews.com/2023/02/20/research-highlights-mit-develops-first-generative-model-for-anomaly-detection-that-combines-both-reconstruction-based-and-prediction-based-models/feed/ 0 31665 MIT Experts on What You Need to Know Now about Data Analytics https://insideainews.com/2023/01/24/mit-experts-on-what-you-need-to-know-now-about-data-analytics/ https://insideainews.com/2023/01/24/mit-experts-on-what-you-need-to-know-now-about-data-analytics/#respond Tue, 24 Jan 2023 14:00:00 +0000 https://insidebigdata.com/?p=31461 In a new series, "The Analytics Edge," published by MIT Sloan School of Management’s Ideas Made to Matter, MIT Sloan faculty, alumni, and industry experts share practical tips for developing and cultivating a strong analytics practice designed to give companies and organizations a distinct advantage for the future.]]> https://insideainews.com/2023/01/24/mit-experts-on-what-you-need-to-know-now-about-data-analytics/feed/ 0 31461 AI For the Future of Work. https://insideainews.com/2022/11/04/ai-for-the-future-of-work/ https://insideainews.com/2022/11/04/ai-for-the-future-of-work/#respond Fri, 04 Nov 2022 13:00:00 +0000 https://insidebigdata.com/?p=30800 AI has been a buzzword and businesses are all at different stages of implementing it. But is it actually solving anything? MIT Sloan and Boston Consulting Group (BCG) answer that question in a new report Achieving Individual – and Organization- Value with AI. Among respondents who report that their organization obtains moderate, significant, or extensive value from AI, the vast majority (85%) claim that they personally obtain value from AI. ]]> https://insideainews.com/2022/11/04/ai-for-the-future-of-work/feed/ 0 30800 Research Highlights: ExBERT https://insideainews.com/2020/07/11/research-highlights-exbert/ https://insideainews.com/2020/07/11/research-highlights-exbert/#respond Sat, 11 Jul 2020 13:00:00 +0000 https://insidebigdata.com/?p=24721 In the insideAI News Research Highlights column we take a look at new and upcoming results from the research community for data science, machine learning, AI and deep learning. Our readers need to get a glimpse for technology coming down the pipeline that will make their efforts more strategic and competitive. In this installment we review a new paper: EXBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models by researchers from the MIT-IBM Watson AI Lab and Harvard. ]]> https://insideainews.com/2020/07/11/research-highlights-exbert/feed/ 0 24721 How to Produce Cleaner Data for Robust Pricing https://insideainews.com/2020/06/19/how-to-produce-cleaner-data-for-robust-pricing/ https://insideainews.com/2020/06/19/how-to-produce-cleaner-data-for-robust-pricing/#comments Fri, 19 Jun 2020 13:00:00 +0000 https://insidebigdata.com/?p=24623 In this contributed article by MIT Sloan School of Management Prof. Negin Golrezaei, found that there are ways to limit price manipulation. The key is the pricing algorithm. Instead of using bids to directly set prices, a prominent group of researchers designed an algorithm that uses censored bids– in this case a binary signal – to indicate whether the buyer wins in the prior auction or not.]]> https://insideainews.com/2020/06/19/how-to-produce-cleaner-data-for-robust-pricing/feed/ 1 24623 Ask a TA: Everything You Need to Know About MIT xPRO’s Online Data Science Course https://insideainews.com/2019/01/17/mit-xpros-online-data-science-course/ https://insideainews.com/2019/01/17/mit-xpros-online-data-science-course/#respond Thu, 17 Jan 2019 14:30:04 +0000 https://insidebigdata.com/?p=21794 Eric Bradford, a Teaching Assistant for MIT xPRO’s Online Data Science Course, Data Science and Big Data Analytics: Making Data-Driven Decisions, gives his insights into the unique seven-week course. The seven-week course explores the theory and practice behind recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine learning, and big data analytics. The next online data science course begins Feb. 4, and is currently enrolling. ]]> https://insideainews.com/2019/01/17/mit-xpros-online-data-science-course/feed/ 0 21794 Can Online Professional Development Courses Teach Data-Driven Decision Making? https://insideainews.com/2018/12/13/online-courses-data-driven-decision-making/ https://insideainews.com/2018/12/13/online-courses-data-driven-decision-making/#respond Thu, 13 Dec 2018 14:30:50 +0000 https://insidebigdata.com/?p=21544 https://insideainews.com/2018/12/13/online-courses-data-driven-decision-making/feed/ 0 21544