The overwhelming contributor to energy consumption in AI processors is not arithmetic; it’s the movement of data.

Quantum computing is still years away, but Nvidia just built the bridge that will bring it closer -- a quiet integration of AI, GPUs, and patience that could shorten the wait for the next computing ...

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex AI calculations by sending laser light through optical elements once, ...

The world's first commercial microprocessor, Intel's 4004 from 1971, transformed electronics and set the foundation for today ...

Nvidia has just made one of its biggest strategic bets yet, acquiring $2 billion of Synopsys stock, a move that merges one of ...

While humans and classical computers must perform tensor operations step by step, light can do them all at once.

The advent of artificial intelligence might be just the latest stage in a guiding biological process that has produced ever more complex, mutually dependent organisms over the history of life.

Africa is hosting a global-scale supercomputing conference, pointing to the continent’s growing determination in ...

Google’s TPUs cannot dethrone Nvidia’s GPUs. But, there is a bigger challenge that can seriously threaten Nvidia’s growth ...

The Alger Concentrated Equity ETF outperformed the Russell 1000 Growth Index during the third quarter of 2025. Read more here ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...