Taking advantage of quantum mechanical effects can be an alternative method for modifying current in high-sensitivity ...

For decades, chipmakers have squeezed more computing power out of silicon by shrinking transistors, but that strategy is ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

Researchers are learning to flip light on and off one particle at a time, turning single photons into a controllable resource ...

The TSMC Arizona location map shows a major semiconductor manufacturing hub in Phoenix, Arizona, focusing on advanced chip production. Fab 21 at the TSMC Arizona site will feature multiple facilities, ...

Lake Erie's water levels have dropped significantly since reaching a record high in April 2020. The decline is attributed to lower precipitation, increased evaporation and natural seasonal cycles. The ...

How the AI industry uses water and how that impacts an increasingly parched world is more complicated than people think.

What many engineers once saw as a flaw in organic electronics could actually make these devices more stable and reliable, according to new research from the University of Surrey and Joanneum Research ...

AI could use between 312.5 and 764.6 billion liters of water this year, according to de Vries-Gao. That reaches even higher than a previous study conducted in 2023 that estimates that water use could ...

Excitons are pairs of bound negatively charged electrons and positively charged holes that form in semiconductors, enabling ...

Yes, every question you ask AI uses up water—and many are worried. A recent University of Chicago survey revealed that 4 in 10 U.S. adults are “extremely” worried about artificial intelligence’s ...