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MIT News - Artificial intelligence - Software
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Ecologists find computer vision models’ blind spots in retrieving wildlife images | MIT News | Massachusetts Institute of Technology
Biodiversity researchers’ “INQUIRE” dataset tested how well vision language models could retrieve images for nature scientists’ research-specific queries. More advanced models performed reasonably well on straightforward queries about visual content but struggled with searches that required expert knowledge.
MIT welcomes Frida Polli as its next visiting innovation scholar | MIT News | Massachusetts Institute of Technology
Frida Polli joins MIT as its next visiting innovation scholar. The neuroscientist turned entrepreneur will be hosted by the MIT Schwarzman College of Computing and focus on advancing the intersection of behavioral science and AI across MIT.
MIT engineers grow “high-rise” 3D chips | MIT News | Massachusetts Institute of Technology
MIT researchers fabricated 3D chips with alternating layers of semiconducting material grown directly on top of each other. The method eliminates thick silicon between layers, leading to better and faster computation, for applications like more efficient AI hardware.
When MIT’s interdisciplinary NEET program is a perfect fit | MIT News | Massachusetts Institute of Technology
MIT junior Katie Spivakovsky’s path through the cross-departmental education program New Engineering Education Transformation (NEET) has led her to the intersection of AI and biomedical research.
Study reveals AI chatbots can detect race, but racial bias reduces response empathy | MIT News | Massachusetts Institute of Technology
Researchers designed a framework for improving the quality, equity, and fairness of large language models used for mental health support. AI chatbots can detect race, but racial bias reduces response empathy.
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures | MIT News | Massachusetts Institute of Technology
Researchers in the MIT Jameel Clinic for Machine Learning in Health developed a fully open-source biomolecular structure prediction model that achieves state-of-the-art performance, at the level of AlpahFold3, in an effort to democratize biomedical research and drug development.
MIT affiliates named 2024 Schmidt Futures AI2050 Fellows | MIT News | Massachusetts Institute of Technology
MIT faculty members David Autor, Sara Beery, Gabriele Farina, Marzyeh Ghassemi, and Yoon Kim were named to the 2024 cohort of AI2050 Fellows. MIT alumni Roger Grosse and David Rolnick were also honored.
AI in health should be regulated, but don’t forget about the algorithms, researchers say | MIT News | Massachusetts Institute of Technology
In a recent commentary article, researchers at MIT, Equality AI, and Boston University call out the gaps in regulation for AI models and non-AI algorithms in health care.
Teaching a robot its limits, to complete open-ended tasks safely | MIT News | Massachusetts Institute of Technology
MIT’s trial-and-error “PRoC3S” method tests a robot's long-horizon plans to ensure they satisfy all constraints in simulation. Once it finds a feasible plan, this strategy can help a robot write individual letters, draw a star, and potentially figure out open-ended household chore requests.
Researchers reduce bias in AI models while preserving or improving accuracy | MIT News | Massachusetts Institute of Technology
MIT researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while maintaining its overall accuracy.
Citation tool offers a new approach to trustworthy AI-generated content | MIT News | Massachusetts Institute of Technology
The ContextCite tool from MIT CSAIL can find the parts of external context that a language model used to generate a statement. Users can easily verify the model’s response, making the tool useful in fields like health care, law, and education.
Enabling AI to explain its predictions in plain language | MIT News | Massachusetts Institute of Technology
MIT researchers developed a system that converts AI explanations into narrative text that can be more easily understood by users. This system could help people determine when to trust a model’s predictions.
What do we know about the economics of AI? | MIT News | Massachusetts Institute of Technology
Since much economic growth comes from tech innovation, the way societies use artificial intelligence is of keen interest to MIT Institute Professor Daron Acemoglu, who has published several papers on AI economics in recent months.
Study: Browsing negative content online makes mental health struggles worse | MIT News | Massachusetts Institute of Technology
People struggling with their mental health are more likely to browse negative content online, and in turn, that negative content makes their symptoms worse, according to a series of studies by researchers at MIT.
MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16 | MIT News | Massachusetts Institute of Technology
MIT's organized participation at COP16 featured 10 delegates who showcased MIT's diverse research on biodiversity. The delegation contributed to discussions on biodiversity conservation, AI, equitable markets, and the role of Afro-descendant communities, advancing global goals for biodiversity protection.
Want to design the car of the future? Here are 8,000 designs to get you started. | MIT News | Massachusetts Institute of Technology
DrivAerNet++, the largest open-source dataset for car aerodynamics developed to date, can be used to quickly train an AI model to generate novel car designs. This process could potentially lead to more fuel-efficient cars and electric vehicles with longer range.
A new way to create realistic 3D shapes using generative AI | MIT News | Massachusetts Institute of Technology
A new AI method enables the generation of sharp, high-quality 3D shapes that are closer to the quality of the best 2D image models. Previous approaches typically generated blurry or cartoonish 3D shapes.
Photonic processor could enable ultrafast AI computations with extreme energy efficiency | MIT News | Massachusetts Institute of Technology
Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light. This advance could improve the speed and energy-efficiency of running intensive deep learning models for applications like lidar, astronomical research, and navigation.
A data designer driven to collaborate with communities | MIT News | Massachusetts Institute of Technology
MIT Associate Professor Catherine D’Ignazio has a strong interest in applying data to social issues. She works to help communities gain access to data and provide a fuller picture of civic problems.
MIT researchers develop an efficient way to train more reliable AI agents | MIT News | Massachusetts Institute of Technology
MIT researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. This could enable the leverage of reinforcement learning across a wide range of applications.
Advancing urban tree monitoring with AI-powered digital twins | MIT News | Massachusetts Institute of Technology
The new "Tree-D Fusion" system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.
Can robots learn from machine dreams? | MIT News | Massachusetts Institute of Technology
LucidSim is an AI-powered simulator that trained a robot dog to perform parkour using generated images without any real-world data. This approach, from MIT CSAIL researchers, scales up training data, helping robots transfer skills to the real world without additional fine-tuning.
Four from MIT named 2025 Rhodes Scholars | MIT News | Massachusetts Institute of Technology
Four from MIT — Yiming Chen ’24, Wilhem Hector, Anushka Nair, and David Oluigbo — have been selected as 2025 Rhodes Scholars and will begin fully funded postgraduate studies at Oxford University in the U.K. next fall.
A portable light system that can digitize everyday objects | MIT News | Massachusetts Institute of Technology
The portable light system and design tool “PortaChrome” uses UV and RGB LEDs to activate photochromic dye, reprogramming everyday objects like shirts. The MIT CSAIL researchers' software can help users turn items into multicolor displays of fashion designs and health data.
A causal theory for studying the cause-and-effect relationships of genes | MIT News | Massachusetts Institute of Technology
MIT researchers developed theoretical foundations for methods that could identify the best way to aggregate genes into modules and efficiently learn the underlying cause-and-effect relationships among them. This approach holds promise for investigating the mechanisms of diseases and identifying new drug targets.
Nanoscale transistors could enable more efficient electronics | MIT News | Massachusetts Institute of Technology
Nanoscale 3D transistors made from ultrathin semiconductor materials can operate more efficiently than silicon-based devices, leveraging quantum mechanical properties to potentially enable ultra-low-power AI applications.
Artist and designer Es Devlin awarded Eugene McDermott Award in the Arts at MIT | MIT News | Massachusetts Institute of Technology
Es Devlin is the recipient of the 2025 Eugene McDermott Award in the Arts at MIT. The $100K prize includes an artist residency at MIT in spring 2025, during which Devlin will present her work in a public lecture May 1, 2025.