Energy

Artificial IntelligenceEnergy

At the 2025 MIT Energy Conference, energy leaders from around the world discussed how to make green technologies competitive with fossil fuels.

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Artificial IntelligenceEnergyMachine Learning

Puzzling out climate change

Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.

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Artificial IntelligenceEnergy

The multifaceted challenge of powering AI

Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.

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Artificial IntelligenceEnergyMachine Learning

Explained: Generative AI’s environmental impact

Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

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Artificial IntelligenceEnergyMachine Learning

Q&A: The climate impact of generative AI

As the use of generative AI continues to grow, Lincoln Laboratory’s Vijay Gadepally describes what researchers and consumers do to help mitigate its environmental impact.

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Artificial IntelligenceEnergyMachine Learning

Unlocking the hidden power of boiling — for energy, space, and beyond

Associate Professor Matteo Bucci’s research sheds new light on an ancient process, to improve the efficiency of heat transfer in many industrial systems.

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Artificial IntelligenceEnergy

Ensuring a durable transition

Progress on the energy transition depends on collective action benefiting all stakeholders, agreed participants in MITEI’s annual research conference.

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News FeedTalent Management

Boost Your Team’s Productivity by Hiring Force Multipliers

Look for the candidates whose skills and energy encourage everyone around them to perform better.

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Artificial IntelligenceEnergyMachine Learning

Nanoscale transistors could enable more efficient electronics

Researchers are leveraging quantum mechanical properties to overcome the limits of silicon semiconductor technology.

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Artificial IntelligenceEnergyMachine Learning

Proton-conducting materials could enable new green energy technologies

Analysis and materials identified by MIT engineers could lead to more energy-efficient fuel cells, electrolyzers, batteries, or computing devices.

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