Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

While the billion-dollar question is about when quantum computing will become commercially viable, among the problems being tackled at the moment is how to make the ...

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Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs as advertised, it could drastically reduce the amount of memory chips ...

Back in 2016, the analytics company Parse.ly published a report: “Does Twitter matter for news sites?“ The report found that Twitter drove little traffic to most news sites, generating only around 1.5 ...

What’s the secret sauce of Elon Musk’s management style? Host Tim Higgins and former Tesla President Jon McNeill deconstruct the operating system that powered Tesla’s massive growth and the ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

In the week of March 27, 2026, US memory chip-related stocks fell sharply, resulting in a loss of nearly $100 billion (approximately 15.98 trillion yen) in market value. This is largely attributed to ...

According to foreign media reports, Google Research released the TurboQuant compression algorithm on Tuesday (24th), which does not require pre-training and can compress the KV cac... The KV cache is ...

Highflying memory stocks like Micron and SanDisk have been dented this week and it might have something to do with TurboQuant, a compression algorithm detailed by Google in a research paper this week.