- Massachusetts Institute of Technology - MIT News
Inroads to personalized AI trip planning A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas June 10, 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
- 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
- Have a damaged painting? Restore it in just hours with an AI-generated . . .
Nature spotlights graduate student Alex Kachkine – an engineer, art collector and art conservator – on his quest to develop a new AI-powered, art restoration method, reports Geoff Marsh for Nature “My hope is that conservators around the planet will be able to use these techniques to restore paintings that have never been seen by the
- Helping machines understand visual content with AI
“Before AI, computers would see the world through bytes, whereas humans would see the world through vision,” Coleman says “Now with AI, machines can finally see the world like we do, and that’s going to cause the digital and physical worlds to blur ” Improving the human-computer interface
- 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
- 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 ”
- How we really judge AI | MIT News | Massachusetts Institute of Technology
For instance, AI appreciation is more pronounced for tangible robots than for intangible algorithms Economic context also matters In countries with lower unemployment, AI appreciation is more pronounced “It makes intuitive sense,” Lu says “If you worry about being replaced by AI, you’re less likely to embrace it ”
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