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- Massachusetts Institute of Technology - MIT News
AI shapes autonomous underwater “gliders” An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data July 9, 2025 Read full story →
- 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 ”
- 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
- 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
- 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
- Uploading documents to Azure AI search - Stack Overflow
I am implementing RAG using azure AI search I have created the index nd have 2605 document chunks in all to upload to the index The peculiar behaviour that I have observed is : i cannot upload all 2605 chunks in one go I try passing these in batch sizes of 600, by loooping over and passing 600 in every iteration I end up uploading only 2000
- Despite its impressive output, generative AI doesn’t have a coherent . . .
The researchers focused on a type of generative AI model known as a transformer, which forms the backbone of LLMs like GPT-4 Transformers are trained on a massive amount of language-based data to predict the next token in a sequence, such as the next word in a sentence
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