The latest research and innovation from MIT’s School of Engineering
A new technique significantly improves weather forecasting beyond two weeks. The researchers, including MIT CEE Research Scientist Judah Cohen, developed a machine-learning model that learns to correct errors in existing forecasting models to improve their output over a two-to-six-week time frame, including for extreme weather events.
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Using advances in machine learning, researchers including Assistant Professor Gabriele Farina developed an AI that defeated top-ranked human players of the board game Stratego by a large margin — something no AI system had been able to achieve.
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MIT engineers led by Professor Daniel Anderson have developed a new way to program natural killer (NK) immune cells to target cancerous T cells or T cells that have become autoreactive, leading to diseases such as lymphoma and autoimmune hepatitis.
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MIT engineers led by Associate Professor Ritu Raman developed a soft robot that can flap through water in response to flashes of light. The paper-thin bot could swim and swivel through a simple watery maze at up to four times its body length in one minute.
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MIT researchers led by Professor Jonathan P. How have developed an autonomous navigation system that enables UAVs to avoid unknown obstacles, even those moving unpredictably.
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With help from an AI algorithm, researchers, including Institute Professor Robert Langer, tweaked the formulation surrounding the lipid nanoparticles that are typically used to deliver mRNA vaccines, making the vaccines more heat-resistant.
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MIT engineers, including Assistant Professor Kaitlyn Becker, have developed a flexible, shape-sensing sheet that digitally reconstructs its own form as it bends and twists. The sensor is similar in principle to some motion-capture garments, which track a person’s physical movements to mimic them in a virtual avatar.
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MIT researchers including Professor Ju Li and Professor Elsa Olivetti have created an AI model that can identify optimal crystalline materials for various applications. The model combines 3D atomic structures with natural language descriptions to create rich linguistic descriptions about the structures from experimental research papers and first-principles computational databases.
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Ask An Engineer is an MIT initiative to answer engineering’s most persistent questions, from the everyday to the highly complex.
Submit your question! Experts from MIT’s School of Engineering will answer selected questions, and we’ll publish their responses on our website.
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Building 5 (Pratt School) on an autumn morning in October.
📷: Conor McArdle, School of Engineering
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