Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Quantum computing education is advancing rapidly, with books now catering to beginners, developers, researchers, and business leaders. This curated selection highlights essential titles that explain ...

Abstract: Data similarity (or distance) computation is a fundamental research topic which underpins many high-level applications based on similarity measures in machine learning and data mining.

Abstract: Smart grid (SG) engages bidirectional energy and data flow with advanced metering infrastructure (AMI) and lures attackers to exploit vulnerabilities in the critical infrastructure. Of the ...

But unlike most quants, I run a concentrated, fundamentals-based portfolio. More than 50% of my fund is invested in only eight companies, and they're the kinds of stocks that Peter Lynch and Charlie ...