Explore the evolution of Random Number Generators and how modern algorithmic transparency is reshaping user trust in ...

As the joke goes, CRQC has been 10 to 20 years away for the past three decades. While the recent research suggests that ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Massive rounds for AI, EDA, and manufacturing; 80 startups raise $8.4B.

You gotta build a "digital twin" of the mess you're actually going to deploy into, especially with stuff like mcp (model context protocol) where ai agents are talking to data sources in real-time.

​For much of the past decade, post-quantum cryptography (PQC) lived primarily in academic journals and standards committees.

After last week’s letter, I received an email from someone who might or might not be related to me (for lo, these many decades) and who explained in detail what I had gotten wrong about calculating ...

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.

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

Tech enthusiasts and industry analysts are sounding the alarm about RAMageddon, a shortage of random access memory chips crucial for running many consumer electronics. Though the future implications ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...