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Massachusetts Institute of Technology - MIT News
With AI, researchers predict the location of virtually any protein within a human cell. Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs. May 15, 2025. Read full story →

Explained: Generative AI’s environmental impact - MIT News
Plus, generative AI models have an especially short shelf-life, driven by rising demand for new AI applications. Companies release new models every few weeks, so the energy used to train prior versions goes to waste, Bashir adds. New models often consume more energy for training, since they usually have more parameters than their predecessors.

“Periodic table of machine learning” could fuel AI discovery
The new framework sheds light on how scientists could fuse strategies from different methods to improve existing AI models or come up with new ones. For instance, the researchers used their framework to combine elements of two different algorithms to create a new image-classification algorithm that performed 8 percent better than current state ...

Introducing the MIT Generative AI Impact Consortium
The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative AI solutions, accelerating innovations in education, research, and industry.

Algorithms and AI for a better world - MIT News
A good example of Raghavan’s intention can be found in his exploration of the use AI in hiring. Raghavan says, “It’s hard to argue that hiring practices historically have been particularly good or worth preserving, and tools that learn from historical data inherit all of the biases and mistakes that humans have made in the past.”

Graph-based AI model maps the future of innovation
The AI model found unexpected similarities between biological materials and “Symphony No. 9,” suggesting that both follow patterns of complexity. “Similar to how cells in biological materials interact in complex but organized ways to perform a function, Beethoven's 9th symphony arranges musical notes and themes to create a complex but ...

Aligning AI with human values - MIT News
Senior Audrey Lorvo is researching AI safety, which seeks to ensure increasingly intelligent AI models are reliable and can benefit humanity. The growing field focuses on technical challenges like robustness and AI alignment with human values, as well as societal concerns like transparency and accountability.

MIT researchers introduce generative AI for databases
Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.

What do we know about the economics of AI? - MIT News
By contrast, in one paper, “The Simple Macroeconomics of AI,” published in the August issue of Economic Policy, Acemoglu estimates that over the next decade, AI will produce a “modest increase” in GDP between 1.1 to 1.6 percent over the next 10 years, with a roughly 0.05 percent annual gain in productivity.

“An AI future that honors dignity for everyone” - MIT News
AI will likely evolve through a cycle of inflated expectations, disillusionment, and eventual pragmatic inspiration.” Still, Vinson suggested there were substantial differences between AI and some of our earlier technological leaps — the industrial revolution, the electrical revolution, and the digital revolution, among others.