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- Massachusetts Institute of Technology - MIT News
Teaching AI models the broad strokes to sketch more like humans do SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans
- 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
- 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
- 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 ”
- Helping nonexperts build advanced generative AI models
Last year, that reasoning led to the acquisition of MosaicML by Databricks, a global data storage, analytics, and AI company that works with some of the largest organizations in the world Since the acquisition, the combined companies have released one of the highest performing open-source, general-purpose LLMs yet built
- “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
- 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
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