MIT researchers advance toward greater bandwidth, more energy-efficient communications
The FUTUR-IC research program integrates electronics and photonics in microchip systems.
How data centers can better manage energy use
A new study suggests flexibility in the timing of electricity consumption could lower consumer costs.
Improving the speed and energy-efficiency of AI agents
A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.
Startup’s nuclear-inspired cooling system could make data centers more sustainable
Founded by two researchers from MIT, Ferveret reduces the amount of energy and water required to cool the chips that power AI.
A faster way to estimate AI power consumption
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
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.
What makes a good proton conductor?
MIT researchers found a way to predict how efficiently materials can transport protons in clean energy devices and other advanced technologies.
New materials could boost the energy efficiency of microelectronics
By stacking multiple active components based on new materials on the back end of a computer chip, this new approach reduces the amount of energy wasted during computation.
How artificial intelligence can help achieve a clean energy future
AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.
Responding to the climate impact of generative AI
Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.
Closing in on superconducting semiconductors
Plasma Science and Fusion Center researchers created a superconducting circuit that could one day replace semiconductor components in quantum and high-performance computing systems.
Taking the “training wheels” off clean energy
At the 2025 MIT Energy Conference, energy leaders from around the world discussed how to make green technologies competitive with fossil fuels.
Collaborating to advance research and innovation on essential chips for AI
Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.
MIT spinout Gradiant reduces companies’ water use and waste by billions of gallons each day
The company builds water recycling, treatment, and purification solutions for some of the world’s largest brands.
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.