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- Artificial intelligence | MIT News | Massachusetts Institute of Technology
MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity Jointly led by the MIT Morningside Academy for Design, MIT Schwarzman College of Computing, and the Hasso Plattner Institute in Potsdam, the hub will foster a dynamic community where computing, creativity, and human-centered innovation meet
- AI tool generates high-quality images faster than state-of-the-art . . .
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 refine the details of the image
- 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
- Improving AI models’ ability to explain their predictions
A new technique transforms any computer vision model into one that can explain its predictions using a set of concepts a human could understand The method generates more appropriate concepts that boost the accuracy of the model
- AI Assist - Stack Overflow
stackoverflow ai is an AI-powered search and discovery tool designed to modernize the Stack Overflow experience by helping developers get answers instantly, learn along the way and provide a path into the community
- 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
- AI system learns from many types of scientific information and runs . . .
The “CRESt” AI platform learns from many types of scientific information and runs experiments to discover new materials The system could generate solutions to energy problems that have plagued the materials science and engineering community for decades
- Responding to the climate impact of generative AI - MIT News
MIT experts discuss strategies and innovations aimed at mitigating the amount of greenhouse gas emissions generated by the training, deployment, and use of AI systems, in the second in a two-part series on the environmental impacts of generative artificial intelligence
- Study: AI chatbots provide less-accurate information to vulnerable . . .
MIT researchers find AI chatbots often show bias, giving less accurate or more dismissive answers to some users The findings highlight growing risks, especially for marginalized communities worldwide
- What does the future hold for generative AI? - MIT News
Hundreds of scientists, business leaders, faculty, and students shared the latest research and discussed the potential future course of generative AI advancements during the inaugural symposium of the MIT Generative AI Impact Consortium (MGAIC) on Sept 17
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