Together, they form Helios, a new quantum computer built by the British-American company Quantinuum. Quantum computers use ...

Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...

Using a conventional computer and cutting-edge mathematical tools and code, physicists at the Center for Computational Quantum Physics (CCQ) at the Simons Foundation's Flatiron Institute and ...

LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core, scalable with multi-cores CPU. It features an extremely fast decoder, with speed in multiple GB/s per core, ...

Micron reported the results for its fiscal 2026 second quarter (ended Feb. 26), and to say the results were stunning might be underselling it a bit. Revenue of $23.9 billion soared 196% year over year ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically that it could weaken demand for NAND flash storage, one of Micron ...

Google's new TurboQuant algorithm drastically cuts AI model memory needs, impacting memory chip stocks like SK Hynix and Kioxia. This innovation targets the AI's 'memory' cache, compressing it ...

TurboQuant is a compression algorithm introduced by Google Research (Zandieh et al.) at ICLR 2026 that solves the primary memory bottleneck in large language model inference: the key-value (KV) cache.

The world of electronics is a very interesting place right now, mostly due to the ongoing slew of price hikes and changes we're seeing around the industry. Most of these price adjustments are being ...

DDR5 RAM prices are finally dropping after months of inflation, according to Wccftech. Consumers and hardware manufacturers alike have been struggling for months to get their hands on memory kits as ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...