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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
- 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
- MIT faculty, instructors, students experiment with generative AI in . . .
Panelists encouraged educators to think about generative AI in ways that move beyond a course policy statement When incorporating generative AI into assignments, the key is to be clear about learning goals and open to sharing examples of how generative AI could be used in ways that align with those goals The importance of critical thinking
- Massachusetts Institute of Technology - MIT News
MIT researchers have developed Boltz-2, an AI algorithm “that unites protein folding and prediction of small-molecule binding affinity in one package,” reports Laura Howes for Chemical Engineering News “The researchers say their new AI model approaches the level of accuracy achieved by traditional computational chemistry—such as
- 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
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 ”
- Teaching AI models what they don’t know - MIT News
Themis AI’s team believes the company is well-positioned to improve the cutting edge of constantly evolving AI technology For instance, the company is exploring Capsa’s ability to improve accuracy in an AI technique known as chain-of-thought reasoning, in which LLMs explain the steps they take to get to an answer
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