Artificial intelligence | MIT News | Massachusetts Institute of …
2 days ago · AI in health should be regulated, but don’t forget about the algorithms, researchers say. In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care. December 12, …
Artificial intelligence | MIT News | Massachusetts Institute of …
3 days ago · Forbes reporter Joe McKendrick spotlights a study by researchers from the MIT Center for Collective Intelligence evaluating “the performance of humans alone, AI alone, and combinations of both.” The researchers found that “human–AI systems do not necessarily achieve better results than the best of humans or AI alone,” explains ...
MIT researchers introduce generative AI for databases
Jul 8, 2024 · 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 …
Oct 16, 2024 · 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.
The creative future of generative AI - MIT News
Jan 2, 2024 · 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 advance automated interpretability in AI models
Jul 23, 2024 · 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 …
Dec 2, 2024 · 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.
Machine learning | MIT News | Massachusetts Institute of …
2 days ago · AI in health should be regulated, but don’t forget about the algorithms, researchers say. In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care. December 12, …
AI agents help explain other AI systems - MIT News
Jan 3, 2024 · The focus is on expanding AI interpretability to include more complex behaviors, such as entire neural circuits or subnetworks, and predicting inputs that might lead to undesired behaviors. This development represents a significant step forward in AI research, aiming to make AI systems more understandable and reliable.
Artificial intelligence | MIT News | Massachusetts Institute of …
Dec 5, 2024 · 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 …