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MIT News - Artificial intelligence - Software
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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.
New computational chemistry techniques accelerate the prediction of molecules and materials | MIT News | Massachusetts Institute of Technology
A new computational chemistry approach developed by MIT researchers could facilitate high-throughput molecular screening — task where achieving chemical accuracy is essential for identifying novel molecules and materials with desirable properties.
For healthy hearing, timing matters | MIT News | Massachusetts Institute of Technology
Auditory neurons time their activity to match the oscillations of incoming sound waves. New research out of MIT's McGovern Institute suggests that this precise timing is vital for hearing, including recognizing voices and localizing sounds.
Q&A: The climate impact of generative AI | MIT News | Massachusetts Institute of Technology
MIT Lincoln Laboratory Supercomputing Center staff member Vijay Gadepally discusses the climate impact of generative artificial intelligence and the tools his team are developing to improve data center efficiency.
Teaching AI to communicate sounds like humans do | MIT News | Massachusetts Institute of Technology
Modeled after the human vocal tract, MIT CSAIL’s AI system can generate and understand vocal imitations of everyday sounds. It “sketches up” human-like vocal impressions without training, or ever hearing a human mimic that particular sound.
A new computational model can predict antibody structures more accurately | MIT News | Massachusetts Institute of Technology
A new computational technique allows large language models to predict antibody structures more accurately. The work could enable researchers to sift through millions of possible antibodies to identify those that could be used to treat SARS-CoV-2 and other infectious diseases.
Unlocking the hidden power of boiling — for energy, space, and beyond | MIT News | Massachusetts Institute of Technology
MIT Associate Professor Matteo Bucci is on a quest to uncover the physics behind boiling. A better understanding of this phenomenon could enable advances in efficient energy production, electronics cooling, water desalination, medical diagnostics, and more.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.