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10 times hotter than the core of the Sun, using a mere 0.2 milligrams of fuel

Ben Goertzel and Jim Rutt discuss the importance of “energy on energy returns” and other considerations when attempting to design an updated full-energy infrastructure.

This initiative combines artificial intelligence with powerful computers to overcome delays in simulations, helping advance clean fusion power for future energy needs.

Partnership builds powerful site to evaluate components under extreme heat for future clean power plants, boosting U.S. innovation in East Tennessee.

Researchers at Politecnico di Milano create a device that processes large data quickly while using less power, by doing calculations right inside the memory.

Researchers advance heavy ion beam probe technique to capture dynamic changes in high-temperature plasma for better fusion energy control.

Researchers develop a smart computer program to discover better battery liquids, starting from just a few examples and using real tests to improve results.

Researchers work together to use AI and sensors for safer, cleaner hydrogen-powered vehicles.

Researchers at MIT have created a method to observe corrosion, cracking, and other breakdowns in materials inside nuclear reactors as they happen, using 3D images in real time.

Researchers at Lawrence Livermore National Laboratory use machine learning to forecast outcomes of nuclear fusion experiments, helping speed up the path to reliable fusion power.