Research in AI, data science, and machine learning develops algorithms and systems that extract insights, make predictions, and automate decision-making from complex data. Work spans supervised and unsupervised learning, deep learning, interpretability, fairness, and scalable deployment for real-world applications. Explore our latest research with impacts in healthcare, climate, and more. Use the filters to refine your search.

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136 result(s) found.

  • $1.1 Million Awarded to Joint Study on Impacts of Data Centers in Norway’s Clean Energy Transition

    July 13, 2023
    As Norway strives to position itself as a hub for global digital infrastructure—building data centers for cloud storage and processing—questions about the benefits and tradeoffs of digitalization are being brought to the forefront of its sustainability policy. Now, through a government-backed initiative, the Research Council of Norway has awarded more than $1.1 million in funding […]

  • 2024 Red Hat Collaboratory Research Incubation Award Recipients

    December 14, 2023
    By Ken Rudolph, Hariri Institute The Red Hat Collaboratory at Boston University has announced the recipients of its 2024 Research Incubation Awards. Twelve new and renewed research projects received nearly $2 million in funding to support research in topics ranging from reconfigurable hardware to homomorphic encryption, energy efficiency, and training models for autonomous vehicles. This […]

  • A BU-led research team shows how Generative AI can be used to diagnose different forms of dementia

    July 9, 2024
    New Generative AI Model can diagnose 10 distinct types of dementia By Maureen Stanton With over 10 million new cases of dementia diagnosed each year, it’s critical to facilitate accurate diagnosis to ensure patients have access to early, personalized treatment to maximize outcomes. While doctors typically can diagnose individuals with dementia with high confidence, it’s […]

  • A Preemptive Strike on Future Pandemics

    February 1, 2024
    A BU-led research team publishes new findings that show how detecting and correctly assigning deaths can help mitigate the impact of pandemics By Maureen Stanton, Hariri Institute COVID-19 caused catastrophe and chaos across the globe. According to some disease forecasters, the world could face another COVID-like pandemic within 10 years. To improve our response to […]
  • MRI or magnetic resonance image of head and brain scan. Close up view, toned image

    Advancing Alzheimer’s Research through Multimodal Data and Digital Innovation

    September 30, 2025
    For Dr. Huitong Ding, the path to understanding Alzheimer’s disease runs through the data that captures everyday life—how people speak, sleep, move, and think. As a Research Assistant Professor in the Department of Anatomy & Neurobiology at the Chobanian & Avedisian School of Medicine and investigator at the Framingham Heart Study, Ding's research bridges data […]

  • Advancing Assistive Technologies with AI

    April 24, 2023
    By Zoe Tseng For someone who is visually impaired, navigating an unfamiliar street can be challenging. Even going straight can be tough in an open space. Encountering obstacles, stairs, and intersections can potentially result in an unsafe situation. While aids, such as white canes or guide dogs are helpful, they can’t exactly tell someone who […]

  • Advancing Sustainability Through AI-driven Research and ENERGIZE Graduate Training

    March 21, 2025
    Junior Faculty Fellow Spotlight: James Chapman, Assistant Professor, Mechanical Engineering By Alex Grzybowski High-entropy alloys (HEAs) have major applications to the world of materials science. These alloys contain roughly equal amounts of five or more different elements with different crystal structures, which allows the materials to have increased strength, hardness, wear resistance, thermal stability, and […]

  • AI Breakthrough Offers New Path to Designing Next-Gen Materials

    September 4, 2025
    By Maria Yaitanes Every material’s properties—like strength or flexibility—depend entirely on how its atoms are arranged and bonded. Even with the same element, like carbon, small structural changes can lead to vastly different results: a diamond’s tight geometric bonds makes it hard, while graphite’s loose, layered structure makes it soft.  Amorphous carbon describes a carbon […]

  • AI for Characterizing and Designing Biomolecular Interactions

    June 23, 2026

  • AI for Drug Discovery Open Innovation Forum

    December 13, 2024
    Convening innovators from industry, academia, and government By Maeve Smillie Despite a 44% increase in drug development investment over the past decade, the pharmaceutical pipeline has slowed, yielding fewer new drugs at greater cost, with only limited efficacy. As the industry grapples with this paradox, the Hariri Institute for Computing hosted the AI for Drug Discovery […]