The convergence of AI and nuclear energy brings unique risks, especially when AI moves from a passive tool to an autonomous ...

AI's energy consumption is growing, but demand for more power is also coming from manufacturing and electric cars.

This year, nuclear energy became a hot topic for investors, thanks to the global shift towards sustainable energy and the ...

The growth of AI data centers has significantly impacted the market, even as cloud-based data centers already had a compound ...

Researchers find evidence of superfluidity in low-density neutron matter by using highly flexible neural-network ...

Tezos has launched the world’s first blockchain-based Uranium marketplace, revealing another novel use case for blockchain ...

The uranium spot price market was characterised by bouts of volatility before settling into a trading range over the month of ...

Want an example of how upside down the whole world is? Consider these two quotes, retrieved from the web this past weekend, ...

According to the U.S. Department of Energy, data centers consume anywhere from 10 to 50 times more energy than a typical ...

AI computing will continue to soar with inference, requiring completely new multiple-gigawatt AI data centers.

Legislation such as the Inflation Reduction Act (IRA) is reshaping the energy industry. COMMENTARY Meanwhile, petroleum and ...

Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light. This advance could improve the speed and ...