
Artificial intelligence | MIT News | Massachusetts Institute of …
3 天之前 · 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
2025年1月17日 · 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.
Introducing the MIT Generative AI Impact Consortium
2025年2月3日 · 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.
3 Questions: Visualizing research in the age of AI
2025年3月6日 · But AI-generated visuals will, in fact, be useful for illustration purposes. If an AI-generated visual is to be submitted to a journal (or, for that matter, be shown in a presentation), I believe the researcher MUST. clearly label if an image was created by an AI model; indicate what model was used; include what prompt was used; and
What do we know about the economics of AI? - MIT News
2024年12月6日 · 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.
Aligning AI with human values - MIT News
2025年2月4日 · 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.
Explained: Generative AI | MIT News | Massachusetts Institute of …
2023年11月9日 · 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 ...
Photonic processor could enable ultrafast AI computations with …
2024年12月2日 · 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.
AI simulation gives people a glimpse of their potential future self
2024年10月1日 · 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 tool generates high-quality images faster than state-of-the-art ...
2025年3月21日 · 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 …