Artificial intelligence | MIT News | Massachusetts Institute of …
1 天前 · Citation tool offers a new approach to trustworthy AI-generated content. Researchers develop “ContextCite,” an innovative method to track AI’s source attribution and detect potential misinformation. December 9, 2024. Read full story →
Artificial intelligence | MIT News | Massachusetts Institute of …
2024年12月18日 · Neural Magic, an AI optimization startup co-founded by Prof. Nir Shavit and former Research Scientist Alex Matveev, aims to “process AI workloads on processors and GPUs at speeds equivalent to specialized AI chips,” reports Kyle Wiggers for TechCrunch. “By running models on off-the-shelf processors, which usually have more available ...
The creative future of generative AI - MIT News
2024年1月2日 · For creative professionals, AI poses a unique set of challenges and opportunities — particularly generative AI, the use of algorithms to transform vast amounts of data into new content. The future of generative AI and its impact on art and design was the subject of a sold-out panel discussion on Oct. 26 at the MIT Bartos Theater.
MIT researchers introduce generative AI for databases
2024年7月8日 · 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.
Combining next-token prediction and video diffusion in ... - MIT …
2024年10月16日 · Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have proposed a simple change to the diffusion training scheme that makes this sequence denoising considerably more flexible. When applied to fields like computer vision and robotics, the next-token and full-sequence diffusion models have capability trade-offs.
Graph-based AI model maps the future of innovation - MIT News
2024年11月12日 · “By blending generative AI with graph-based computational tools, this approach reveals entirely new ideas, concepts, and designs that were previously unimaginable. We can accelerate scientific discovery by teaching generative AI to make novel predictions about never-before-seen ideas, concepts, and designs,” says Buehler.
MIT researchers advance automated interpretability in AI models
2024年7月23日 · Interpreting the mechanisms underlying AI models enables us to audit them for safety and biases, with the potential to deepen our understanding of the science behind intelligence itself. Imagine if we could directly investigate the human brain by manipulating each of its individual neurons to examine their roles in perceiving a particular object.
Photonic processor could enable ultrafast AI computations ... - MIT …
2024年12月2日 · Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light. This advance could improve the speed and energy-efficiency of running intensive deep learning models for applications like lidar, astronomical research, and navigation.
Artificial intelligence | MIT News | Massachusetts Institute of …
2024年11月22日 · Advancing urban tree monitoring with AI-powered digital twins. The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America. November 21, 2024. Read full story →
Machine learning | MIT News | Massachusetts Institute of …
2 天之前 · Citation tool offers a new approach to trustworthy AI-generated content. Researchers develop “ContextCite,” an innovative method to track AI’s source attribution and detect potential misinformation. December 9, 2024. Read full story →
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