Nota AI, a leading AI model compression and optimization company, today announced that it took 1st place in Track C at the ...

In its effort to focus on meeting the memory demands of the AI data center market, Micron late last year announced it was ...

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

To meet the quality compliance requirements of Tier-1 global clients such as Apple and Tesla, relevant data must be retained for periods ranging from 6 months to 15 years to ensure end-to-end ...

Nvidia (NASDAQ: NVDA) is showing signs of renewed momentum and a potential breakout after an extended period of consolidation ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Add Decrypt as your preferred source to see more of our stories on Google. Google said its TurboQuant algorithm can cut a major AI memory bottleneck by at least sixfold with no accuracy loss during ...

Abstract: The exponential increase of stream data in the big data era poses critical challenges for SQL queries on compressed streams. These challenges are exacerbated by diverse computational demands ...

Here’s a story about a gamer “IridiumIO“ who managed to compress 60 Steam games and save 380 GB of space — all while making them launch faster than before. How is that even possible? Simple: on a ...