MIT in the media: 2024 in review
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
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MIT community in 2024: A year in review
Top stories highlighted the Climate Project at MIT and two new Institute collaborative projects; free tuition for most new undergraduates; Nobels and other major awards; a solar eclipse over campus; and more.
Helping students bring about decarbonization, from benchtop to global energy marketplace
Professor Jessika Trancik’s course helps students understand energy levers for addressing climate change at the macro and micro scales.
Global MIT At-Risk Fellows Program expands to invite Palestinian scholars
GMAF’s second international cohort will comprise up to 10 early- to mid-career Palestinian scholars for a two-year pilot fellowship program at MIT.
Startup’s autonomous drones precisely track warehouse inventories
Corvus Robotics, founded by Mohammed Kabir ’21, is using drones that can navigate in GPS-denied environments to expedite inventory management.
Making classical music and math more accessible
In math and in music, senior Holden Mui values interesting ideas, solving problems creatively, and finding meaning in their structures.
Need a research hypothesis? Ask AI.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
Turning adversity into opportunity
How a love for math and access to MIT Open Learning’s online learning resources helped a Sudanese learner pursue a career in data science.
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.
MIT affiliates named 2024 Schmidt Sciences AI2050 Fellows
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
Teaching a robot its limits, to complete open-ended tasks safely
The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.
Researchers reduce bias in AI models while preserving or improving accuracy
A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.
Daniela Rus wins John Scott Award
MIT CSAIL director and EECS professor named a co-recipient of the honor for her robotics research, which has expanded our understanding of what a robot can be.
Introducing MIT HEALS, a life sciences initiative to address pressing health challenges
The MIT Health and Life Sciences Collaborative will bring together researchers from across the Institute to deliver health care solutions at scale.
A new way to create realistic 3D shapes using generative AI
Researchers propose a simple fix to an existing technique that could help artists, designers, and engineers create better 3D models.