Artificial Intelligence

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 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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Artificial IntelligenceMachine Learning

A new way to increase the capabilities of large language models

MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.

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Artificial IntelligenceMachine Learning

A “scientific sandbox” lets researchers explore the evolution of vision systems

The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.

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Artificial IntelligenceMachine Learning

“Robot, make me a chair”

An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.

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