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Massachusetts Institute of Technology - MIT News
AI tool generates high-quality images faster than state-of-the-art approaches. Researchers fuse the best of two popular methods to create an image generator that uses less energy and can run locally on a laptop or smartphone. March 21, 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.

“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.

AI tool generates high-quality images faster than state-of-the-art ...
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.

Explained: Generative AI | MIT News | Massachusetts Institute of Technology
Before the generative AI boom of the past few years, when people talked about AI, typically they were talking about machine-learning models that can learn to make a prediction based on data. For instance, such models are trained, using millions of examples, to predict whether a certain X-ray shows signs of a tumor or if a particular borrower is ...

If art is how we express our humanity, where does AI fit in?
The complexity of black-box AI systems can make it hard for researchers and the broader public to understand what’s happening under the hood, and what the impacts of these tools on society will be. Many discussions about AI anthropomorphize the technology, implicitly suggesting these systems exhibit human-like intent, agency, or self-awareness.

Photonic processor could enable ultrafast AI computations with extreme ...
Now that we have an end-to-end system that can run a neural network in optics, at a nanosecond time scale, we can start thinking at a higher level about applications and algorithms,” says Saumil Bandyopadhyay ’17, MEng ’18, PhD ’23, a visiting scientist in the Quantum Photonics and AI Group within the Research Laboratory of Electronics ...

With generative AI, MIT chemists quickly calculate 3D genomic ...
“ChromoGen provides a new framework for AI-driven discovery of genome folding principles and demonstrates that generative AI can bridge genomic and epigenomic features with 3D genome structure, pointing to future work on studying the variation of genome structure and function across a broad range of biological contexts,” says Jian Ma, a ...

AI simulation gives people a glimpse of their potential future self
The AI system uses this information to create what the researchers call “future self memories” which provide a backstory the model pulls from when interacting with the user. For instance, the chatbot could talk about the highlights of someone’s future career or answer questions about how the user overcame a particular challenge.

AI model deciphers the code in proteins that tells them where to go
Now, Young, also member of the Whitehead Institute for Biological Research; Young lab postdoc Henry Kilgore; Regina Barzilay, the School of Engineering Distinguished Professor for AI and Health in MIT's Department of Electrical Engineering and Computer Science and principal investigator in the Computer Science and Artificial Intelligence ...