Researchers from MIT and other institutions report that a “hash function” — a core database search operation — can be significantly accelerated through the use of machine learning. The hope is that the new technique could accelerate computational systems that scientists use to store and analyze DNA, amino acid sequences, or other biological information.
Research Highlights: MIT Develops First Generative Model for Anomaly Detection that Combines both Reconstruction-based and Prediction-based Models
February 20, 2023 by
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.
MIT Experts on What You Need to Know Now about Data Analytics
January 24, 2023 by
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.
AI For the Future of Work.
November 4, 2022 by
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.
MIT AI Policy Forum Virtual Summit Sept. 28 to Explore Challenges Surrounding AI Deployment
September 22, 2022 by
Cambridge, MA — Sept. 22, 2022 — On Wednesday, Sept. 28 from 9 am to 5 pm Eastern Time, the MIT AI Policy Forum will host a free, virtual summit convening leading voices from government, business, and academia to explore the global policy challenges surrounding the implementation of AI technologies. The summit will feature a live […]
Argonne, University Researchers Team to Make Data FAIR for AI
February 15, 2022 by
In a new study, researchers from Argonne National Laboratory, Massachusetts Institute of Technology, University of California San Diego, University of Minnesota, and University of Illinois at Urbana-Champaign have laid out new practices to guide the curation of high energy physics datasets that makes them more FAIR — more findable, accessible, interoperable and reusable. Data is the lifeblood […]
Hyperion Research Announces Winners of HPC Innovation Excellence Awards
January 26, 2022 by
Hyperion Research today announced the 17th round of recipients of the HPC Innovation Excellence Award. The award winners are: National Center for Atmospheric Research (NCAR). Better wildfire models save property and life. Refined fidelity of predictive models, using AI. Contact: Branko Kosovic, Director of the Weather Systems and Assessment Program and the Program Manager for Renewable […]
MIT: Forcing ML Models to Avoid Shortcuts (and Use More Data) for Better Predictions
November 3, 2021 by
CAMBRIDGE, Mass. — If your Uber driver takes a shortcut, you might get to your destination faster. But if a machine learning model takes a shortcut, it might fail in unexpected ways. In machine learning, a shortcut solution occurs when the model relies on a simple characteristic of a dataset to make a decision, rather […]
MIT: Blockchain Could Secure Robot Team Communications
October 5, 2021 by
CAMBRIDGE, Mass., Oct. 5, 2021 — Imagine a team of autonomous drones equipped with advanced sensing equipment, searching for smoke as they fly high above the Sierra Nevada mountains. Once they spot a wildfire, these leader robots relay directions to a swarm of firefighting drones that speed to the site of the blaze. But what […]
May 6-7: AI Policy Forum to Present Proposals for Managing Impacts, Building More Equitable Systems
May 3, 2021 by
On Thursday, May 6 and Friday, May 7, the AI Policy Forum – a global effort convened by researchers from MIT – will present their initial policy recommendations aimed at managing the effects of AI and building AI systems that better reflect society’s values. Recognizing that there is unlikely to be any singular national AI […]
