Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...

Forbes contributors publish independent expert analyses and insights. Andréa Morris reports on emergent intelligence in diverse systems. As the world races to build artificial superintelligence, one ...

The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in bioinformatics. Once primarily regarded as a mathematical ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

South Korea’s largest shipping company HMM has ordered 12 new 13,000 TEU-class eco-friendly container ships from Korean shipbuilders, as well as two very large container ships, for a total of $2.82 ...

Abstract: Variant calling, which identifies genomic differences relative to a reference genome, is critical for understanding disease mechanisms, identifying therapeutic targets, and advancing ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

hmm_cpp - Complete Hidden Markov Model Library A complete C++ implementation of the Python hmmlearn library, featuring modern C++17, Eigen for linear algebra, and comprehensive HMM algorithms.

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

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