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MIT News - Artificial intelligence - Software
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New method assesses and improves the reliability of radiologists’ diagnostic reports | MIT News | Massachusetts Institute of Technology
A new method assesses and improves the reliability of radiologists’ diagnostic reports. The framework helps clinicians choose terms that more accurately reflect the likelihood that certain conditions are present in X-rays.
Vana is letting users own a piece of the AI models trained on their data | MIT News | Massachusetts Institute of Technology
The decentralized platform Vana, which started as an MIT class project, is on a mission to give power back to users. The firm created a user-owned network that allows individuals to upload their data and govern how they are used to train AI models.
Researchers teach LLMs to solve complex planning challenges | MIT News | Massachusetts Institute of Technology
A new large language model framework teaches LLMs to use an optimization solving algorithm to resolve complex, multistep planning tasks. With the LLMFP framework, someone can input a natural language description of their problem and receive a plan to reach their desired goal.
For this computer scientist, MIT Open Learning was the start of a life-changing journey | MIT News | Massachusetts Institute of Technology
MIT Research Scientist Ana Trišović went from a student downloading MIT Open Learning resources in Serbia to becoming a computer scientist at CERN, Harvard, and MIT.
AI tool generates high-quality images faster than state-of-the-art approaches | MIT News | Massachusetts Institute of Technology
A hybrid AI approach known as hybrid autoregressive transformer can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses fewer computational resources. The new tool uses an autoregressive model to quickly capture the big picture and then a small diffusion model to refine the details of the image.
Robotic helper making mistakes? Just nudge it in the right direction | MIT News | Massachusetts Institute of Technology
MIT researchers developed a framework that lets a user correct a robot’s behavior during deployment using simple interactions, such as by pointing to an item, tracing a trajectory, or nudging the robot’s arm.
Markus Buehler receives 2025 Washington Award | MIT News | Massachusetts Institute of Technology
MIT Professor Markus Buehler received 2025 Washington Award for groundbreaking accomplishments in computational modeling and mechanics of biological materials, and his contributions to engineering education and leadership in academia.
Collaborating to advance research and innovation on essential chips for AI | MIT News | Massachusetts Institute of Technology
MIT Microsystems Technology Laboratories and GlobalFoundries announce a new research agreement to advance research and innovation on essential chips for AI, particularly in power consumption by data centers and edge devices.
An ancient RNA-guided system could simplify delivery of gene editing therapies | MIT News | Massachusetts Institute of Technology
MIT scientists have uncovered ancient systems with potential to expand the genome editing toolbox. These tandem interspaced guide RNA (TIGR) systems use RNA to guide them to specific sites on DNA.
Like human brains, large language models reason about diverse data in a general way | MIT News | Massachusetts Institute of Technology
MIT researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs integrate data inputs across modalities in a central hub that processes data in an input-type-agnostic fashion.
Validation technique could help scientists make more accurate forecasts | MIT News | Massachusetts Institute of Technology
A new evaluation method assesses the accuracy of spatial prediction techniques, outperforming traditional methods. This could help scientists make better predictions in areas like weather forecasting, climate research, public health, and ecological management.
Streamlining data collection for improved salmon population management | MIT News | Massachusetts Institute of Technology
MIT Professor Sara Beery and PhD student Justin Kay are developing an automated data collection system for monitoring salmon populations in the Pacific Northwest of the United States.
Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building | MIT News | Massachusetts Institute of Technology
The MIT Stephen A. Schwarzman College of Computing received a major gift from MIT alumnus Sebastian Man to support its new headquarters in Cambridge, Massachusetts.
AI model deciphers the code in proteins that tells them where to go | MIT News | Massachusetts Institute of Technology
A new machine-learning model can predict protein localization to cellular compartments, generate proteins to localize to a desired compartment, and detect disease mutations that alter cellular compartments, with implications for understanding and remedying disease.
User-friendly system can help developers build more efficient simulations and AI models | MIT News | Massachusetts Institute of Technology
MIT researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: sparsity and symmetry.
With generative AI, MIT chemists quickly calculate 3D genomic structures | MIT News | Massachusetts Institute of Technology
MIT chemists found a new way to determine 3D genome structures, using generative AI, that can predict thousands of genome structures in minutes, making it much speedier than existing methods for analyzing the structures.
3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities | MIT News | Massachusetts Institute of Technology
MIT Principal Research Scientist Una-May O’Reilly develops artificial agents that reveal AI models’ security weaknesses by mimicking threat actors. They can process cyber knowledge, plan attack steps, and come to informed decisions within a campaign.
MIT students' works redefine human-AI collaboration | MIT News | Massachusetts Institute of Technology
MIT class 4.043/4.044 (Interaction Intelligence), led by Marcelo Coelho, presented student projects at NeurIPS 2024, exploring AI’s potential in creativity, generative design, human-computer interaction, and reshaping education and social interactions through innovative technologies.
New training approach could help AI agents perform better in uncertain conditions | MIT News | Massachusetts Institute of Technology
AI agents trained in simulations that differ from the environments where they are deployed sometimes perform better than agents trained and deployed in the same environment, MIT research shows.
A platform to expedite clean energy projects | MIT News | Massachusetts Institute of Technology
The startup Station A, founded by MIT alumni, is streamlining the process of deploying clean energy. The company’s platform helps real estate owners and businesses analyze properties to calculate returns on decarbonization projects, create detailed project listings, collect and compare bids, and select a provider.
Toward video generative models of the molecular world | MIT News | Massachusetts Institute of Technology
MIT CSAIL's “MDGen” system takes a frame of a 3D molecule and simulates what will happen next, connects separate stills, or fills in missing frames. The generative model “presses play” on molecules, potentially helping chemists design new molecules and drug prototypes.
The multifaceted challenge of powering AI | MIT News | Massachusetts Institute of Technology
The sudden need for more data centers to power AI presents a massive challenge to the technology and energy industries, government policymakers, and everyday consumers. Researchers at the MIT Energy Initiative (MITEI) are exploring multiple facets of this problem.