Artificial Intelligence

Artificial Intelligence

At MIT, a continued commitment to understanding intelligence

With support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence investigates how brains produce intelligence and how it can be replicated to solve problems.

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Artificial IntelligenceMachine Learning

Generative AI tool helps 3D print personal items that sustain daily use

“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.

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Artificial IntelligenceEnergyMachine Learning

3 Questions: How AI could optimize the power grid

While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.

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Artificial IntelligenceMachine Learning

Decoding the Arctic to predict winter weather

With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.

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Artificial IntelligenceSocial Media

Stone Center on Inequality and Shaping the Future of Work Launches at MIT

Recent launch event for the center featured discussions on pro-worker AI, wealth inequality, and the future of liberal democracy.

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Artificial IntelligenceCybersecurityMachine Learning

MIT scientists investigate memorization risk in the age of clinical AI

New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.

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Artificial Intelligence

Using design to interpret the past and envision the future

MIT graduate student C Jacob Payne reimagines historic architecture and invents new possibilities at the intersection of AI and design.

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Artificial IntelligenceCase StudiesEnterprise ArchitectureHI + AI = ECI

The 10 AI Trends of 2026: Why the Most Important Shift Is Humans Moving Above the Loop

In 2026, organizations that excel will prioritize “above-the-loop” leadership, where human intelligence governs AI autonomy rather than micromanaging decisions. By redefining roles and adopting frameworks like the ECI framework, leaders can optimize the collaboration between AI and human insight, driving productivity, innovation, and controlled risk in a rapidly evolving technological landscape.

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Artificial Intelligence

MIT in the media: 2025 in review

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.

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Artificial IntelligenceMachine Learning

Guided learning lets “untrainable” neural networks realize their potential

CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.

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